Please respond to each of the 3 posts with 3 APA sources no older than 5 years old. APA format must be exceptional.
Reply 1
Professor,
How can big data impact prescription errors? Be specific and provide examples. Who should be on the team to implement this project and why? Support your work with the literature.
Reply 2
Ruth Niyasimi,
Big Data Risks and Rewards
Big data is defined as the process of collecting, analyzing, and leveraging consumer patient, physical, and clinical data that is too vast or complex to be understood by traditional means of data processing. In healthcare, data is generated from medical records, patient portals, government agencies, research studies, electronic health records, and medical devices. The data generated in healthcare is used to make decisions that will have an impact on patient health outcomes (Raghupathi & Raghupathi, 2014). Healthcare is a critical docket in our society since it is tasked with a duty to prevent, diagnose and treat illnesses and diseases affecting the community. In the past, health information was stored on paper but through advancements in technology, things have significantly changed as patient information is stored on Electronic health records (EHR).
The adoption of big data had significant impacts on customer services and other related issues. According to Raghupathi and Raghupathi (2014), for many years, healthcare has been generating huge volumes of data that was stored in hardcopy. This was a critical step toward improving the quality of healthcare delivery while reducing costs. This huge volume of information is crucial to healthcare because, through digitalization, it has become possible to detect diseases at an early stage and take necessary intervention measures. Secondly, big data enables the ability to enhance continuity, starting when a patient visits a hospital until the last stage of being discharged. For example, the lab tests taken from those patients and other specialized treatments are stored in a way that other departments can access this information in the future preventing duplicate redoing labs and imaging studies (Adibuzzaman et al., 2017). This cuts down costs while improving service delivery.
Although big data has had a tremendous impact on the healthcare systems, it has also created some problems. Firstly, the use of technology such as EHR has resulted in security issues and privacy threats. According to McGonigle and Mastrian (2017), technology has enabled the interoperability of healthcare data. Interoperability means sharing important health data across different organizations while ensuring it is presented understandably to the user. Unauthorized third parties can intersect this information and the Health Insurance Portability and Accountability Act (HIPPA) has shown little concern for patient data breach cases. Another problem is that big data is not static, it requires continuous system updates to ensure that it ...
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
CANCER DATA COLLECTION6The Application of Data to Problem-SoTawnaDelatorrejs
CANCER DATA COLLECTION 6
The Application of Data to Problem-Solving PEER RESPONSES
PEER NUMBER 1: Luis Arencibia
Top of Form
Clinical data is fundamental in the medical field. It is from this data that change and efficiency are made possible. Clinical data forms the basis of clinical care given to patients and research studies and is also used by the administration for decision-making and influencing change (Deckro et al., 2021). Modernization has come up with better ways of processing and storing clinical data, popularly known as informatics. This has led to the increased utilization of computers and information technology in clinical data management. The informatics results have increased efficiency in managing patients' data (McGonigle & Mastrian, 2022). It is crucial to ensure proper data management because it is from clinical data that crucial decisions and problems are solved in healthcare.
An example of a scenario where data can be helpful in problem-solving is the case where a healthcare facility wants to determine the average number of patients they receive in a day and use that information to establish whether the staff to patient ratio is satisfactory. This data can be obtained by registering all patients who attend the facility for a certain period, for example, three months, and stored electronically. The average is then done to get the approximate number of clients in a day. Additionally, the data should capture the age of patients, significant complaints, and the departments where the patients were attended. It is vital to secure this data to avoid unauthorized access to promote patients' privacy and compliance with the HIPAA to avoid legal consequences.
The knowledge derived from the data described above is the number of patients visiting the facility and their health needs. From this, the healthcare center will be able to critically analyze and evaluate whether the facility's staffing and resources are enough to meet the patients' demands. Suppose the number of patients is higher compared to the resources. In that case, the facility will be able to tell there is a shortage and the staff is being overworked, which is likely to compromise the services given to the patients.
From the data, a nurse leader can use clinical reasoning and judgment to explain why the health facility could be performing less efficiently and not meeting its goal of providing optimum medical services to patients. Additionally, the nurse could judge that the patients are not satisfied with the services provided from the data (Zhu et al., 2019). With that information, a nurse leader can successfully convince the management that there is a need for more staffing and resources to meet the patients' needs more successfully.
In conclusion, data management is crucial in the healthcare practice. With proper informatics, nurses and other healthcare providers will function optimally, and the results will be better quality ...
Big Data, CEP and IoT : Redefining Holistic Healthcare Information Systems an...Tauseef Naquishbandi
Healthcare industry has been a significant area for innovative application of various technologies over decades. Being an area of social relevance governmental spending on healthcare have always been on the rise over the years. Event Processing (CEP) has been in use for many years for situational awareness and response generation. Computing technologies have played an important role in improvising several aspects of healthcare. Recently emergent technology paradigms of Big Data, Internet of Things (IoT) and Complex Event Processing (CEP) have the potential not only to deal with pain areas of healthcare domain but also to redefine healthcare offerings. This paper aims to lay the groundwork for a healthcare system which builds upon integration of Big Data, CEP and IoT.
A REVIEW OF DATA INTELLIGENCE APPLICATIONS WITHIN HEALTHCARE SECTOR IN THE UN...ijsc
Data intelligence technologies have transformed the United States healthcare sector, bringing about transformational advances in patient care, research, and healthcare management. United States is the focus due fact that many academic and research institutions in the country are at the forefront of healthcare data research, making it an attractive location for in-depth studies.This paper explores the diverse realm of Data Intelligence in Healthcare, examining its applications, challenges, ethical considerations, and emerging trends. Data Intelligence Applications encompass a spectrum of technologies designed to collect, process, analyze, and interpret data effectively. These apps enable healthcare practitioners to make more educated decisions, forecast health outcomes, manage population health, customize treatment, optimize workflows, assist research, improve data security, and drive healthcare analytics. However, the use of data intelligence applications raises issues and concerns about data privacy, fairness, transparency, data quality, accountability, fair data access, regulatory compliance, and the balance between automation and human judgment. Emerging themes include AI and machine learning domination, stronger ethical and regulatory frameworks, edge and quantum computing, data democratization, sustainability applications, and developing human-machine collaboration. Data intelligence has an impact that goes beyond healthcare delivery, influencing decision-making, scientific discovery, education, and economic growth. Understanding its potential and ethical responsibilities is paramount as data-driven insights redefine healthcare excellence and extend their influence across sectors.
A REVIEW OF DATA INTELLIGENCE APPLICATIONS WITHIN HEALTHCARE SECTOR IN THE UN...ijsc
Data intelligence technologies have transformed the United States healthcare sector, bringing about
transformational advances in patient care, research, and healthcare management. United States is the
focus due fact that many academic and research institutions in the country are at the forefront of healthcare
data research, making it an attractive location for in-depth studies.This paper explores the diverse realm of
Data Intelligence in Healthcare, examining its applications, challenges, ethical considerations, and
emerging trends. Data Intelligence Applications encompass a spectrum of technologies designed to collect,
process, analyze, and interpret data effectively. These apps enable healthcare practitioners to make more
educated decisions, forecast health outcomes, manage population health, customize treatment, optimize
workflows, assist research, improve data security, and drive healthcare analytics. However, the use of data
intelligence applications raises issues and concerns about data privacy, fairness, transparency, data
quality, accountability, fair data access, regulatory compliance, and the balance between automation and
human judgment. Emerging themes include AI and machine learning domination, stronger ethical and
regulatory frameworks, edge and quantum computing, data democratization, sustainability applications,
and developing human-machine collaboration. Data intelligence has an impact that goes beyond
healthcare delivery, influencing decision-making, scientific discovery, education, and economic growth.
Understanding its potential and ethical responsibilities is paramount as data-driven insights redefine
healthcare excellence and extend their influence across sectors.
A REVIEW OF DATA INTELLIGENCE APPLICATIONS WITHIN HEALTHCARE SECTOR IN THE UN...ijsc
Data intelligence technologies have transformed the United States healthcare sector, bringing about
transformational advances in patient care, research, and healthcare management. United States is the
focus due fact that many academic and research institutions in the country are at the forefront of healthcare
data research, making it an attractive location for in-depth studies.This paper explores the diverse realm of
Data Intelligence in Healthcare, examining its applications, challenges, ethical considerations, and
emerging trends. Data Intelligence Applications encompass a spectrum of technologies designed to collect,
process, analyze, and interpret data effectively. These apps enable healthcare practitioners to make more
educated decisions, forecast health outcomes, manage population health, customize treatment, optimize
workflows, assist research, improve data security, and drive healthcare analytics. However, the use of data
intelligence applications raises issues and concerns about data privacy, fairness, transparency, data
quality, accountability, fair data access, regulatory compliance, and the balance between automation and
human judgment. Emerging themes include AI and machine learning domination, stronger ethical and
regulatory frameworks, edge and quantum computing, data democratization, sustainability applications,
and developing human-machine collaboration. Data intelligence has an impact that goes beyond
healthcare delivery, influencing decision-making, scientific discovery, education, and economic growth.
Understanding its potential and ethical responsibilities is paramount as data-driven insights redefine
healthcare excellence and extend their influence across sectors.
In the realm of healthcare, data is a critical asset that holds the potential to revolutionise patient care, enhance treatment outcomes, and streamline healthcare operations. One of the most valuable resources in this data-driven landscape is healthcare datasets. These datasets encompass a wide range of information, from patient medical records and clinical trial data to health insurance claims and public health statistics.
Healthcare datasets serve as the foundation for evidence-based medicine, enabling researchers and healthcare professionals to analyse trends, identify patterns, and make informed decisions. By delving into these datasets, medical researchers can uncover new insights into disease progression, treatment efficacy, and patient outcomes. This knowledge is crucial for developing more effective therapies, improving diagnostic accuracy, and tailoring treatment plans to individual patients' needs.
Moreover, healthcare datasets play a pivotal role in public health initiatives. By examining data on disease incidence, vaccination rates, and health behaviours, public health officials can design targeted interventions, allocate resources more efficiently, and monitor the impact of public health policies. This data-driven approach helps in controlling the spread of infectious diseases, promoting healthy lifestyles, and ultimately reducing the burden of illness on society.
The integration of healthcare datasets with advanced analytics and machine learning technologies opens up even more possibilities. Predictive models built on these datasets can forecast disease outbreaks, identify high-risk patient populations, and optimise resource allocation in healthcare facilities. These predictive insights are invaluable for proactive healthcare management and ensuring that patients receive timely and appropriate care.
However, the effective use of healthcare datasets is not without challenges. Issues related to data privacy, security, and interoperability need to be addressed to ensure that sensitive patient information is protected and that data from different sources can be integrated seamlessly. Additionally, the quality and completeness of data are crucial for drawing accurate conclusions, necessitating rigorous data management and validation practices.
In conclusion, healthcare datasets are a vital resource that holds immense potential for advancing medical research, improving patient care, and enhancing public health outcomes. As technology continues to evolve, the ability to harness the power of these datasets will become increasingly important in shaping the future of healthcare.
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
CANCER DATA COLLECTION6The Application of Data to Problem-SoTawnaDelatorrejs
CANCER DATA COLLECTION 6
The Application of Data to Problem-Solving PEER RESPONSES
PEER NUMBER 1: Luis Arencibia
Top of Form
Clinical data is fundamental in the medical field. It is from this data that change and efficiency are made possible. Clinical data forms the basis of clinical care given to patients and research studies and is also used by the administration for decision-making and influencing change (Deckro et al., 2021). Modernization has come up with better ways of processing and storing clinical data, popularly known as informatics. This has led to the increased utilization of computers and information technology in clinical data management. The informatics results have increased efficiency in managing patients' data (McGonigle & Mastrian, 2022). It is crucial to ensure proper data management because it is from clinical data that crucial decisions and problems are solved in healthcare.
An example of a scenario where data can be helpful in problem-solving is the case where a healthcare facility wants to determine the average number of patients they receive in a day and use that information to establish whether the staff to patient ratio is satisfactory. This data can be obtained by registering all patients who attend the facility for a certain period, for example, three months, and stored electronically. The average is then done to get the approximate number of clients in a day. Additionally, the data should capture the age of patients, significant complaints, and the departments where the patients were attended. It is vital to secure this data to avoid unauthorized access to promote patients' privacy and compliance with the HIPAA to avoid legal consequences.
The knowledge derived from the data described above is the number of patients visiting the facility and their health needs. From this, the healthcare center will be able to critically analyze and evaluate whether the facility's staffing and resources are enough to meet the patients' demands. Suppose the number of patients is higher compared to the resources. In that case, the facility will be able to tell there is a shortage and the staff is being overworked, which is likely to compromise the services given to the patients.
From the data, a nurse leader can use clinical reasoning and judgment to explain why the health facility could be performing less efficiently and not meeting its goal of providing optimum medical services to patients. Additionally, the nurse could judge that the patients are not satisfied with the services provided from the data (Zhu et al., 2019). With that information, a nurse leader can successfully convince the management that there is a need for more staffing and resources to meet the patients' needs more successfully.
In conclusion, data management is crucial in the healthcare practice. With proper informatics, nurses and other healthcare providers will function optimally, and the results will be better quality ...
Big Data, CEP and IoT : Redefining Holistic Healthcare Information Systems an...Tauseef Naquishbandi
Healthcare industry has been a significant area for innovative application of various technologies over decades. Being an area of social relevance governmental spending on healthcare have always been on the rise over the years. Event Processing (CEP) has been in use for many years for situational awareness and response generation. Computing technologies have played an important role in improvising several aspects of healthcare. Recently emergent technology paradigms of Big Data, Internet of Things (IoT) and Complex Event Processing (CEP) have the potential not only to deal with pain areas of healthcare domain but also to redefine healthcare offerings. This paper aims to lay the groundwork for a healthcare system which builds upon integration of Big Data, CEP and IoT.
A REVIEW OF DATA INTELLIGENCE APPLICATIONS WITHIN HEALTHCARE SECTOR IN THE UN...ijsc
Data intelligence technologies have transformed the United States healthcare sector, bringing about transformational advances in patient care, research, and healthcare management. United States is the focus due fact that many academic and research institutions in the country are at the forefront of healthcare data research, making it an attractive location for in-depth studies.This paper explores the diverse realm of Data Intelligence in Healthcare, examining its applications, challenges, ethical considerations, and emerging trends. Data Intelligence Applications encompass a spectrum of technologies designed to collect, process, analyze, and interpret data effectively. These apps enable healthcare practitioners to make more educated decisions, forecast health outcomes, manage population health, customize treatment, optimize workflows, assist research, improve data security, and drive healthcare analytics. However, the use of data intelligence applications raises issues and concerns about data privacy, fairness, transparency, data quality, accountability, fair data access, regulatory compliance, and the balance between automation and human judgment. Emerging themes include AI and machine learning domination, stronger ethical and regulatory frameworks, edge and quantum computing, data democratization, sustainability applications, and developing human-machine collaboration. Data intelligence has an impact that goes beyond healthcare delivery, influencing decision-making, scientific discovery, education, and economic growth. Understanding its potential and ethical responsibilities is paramount as data-driven insights redefine healthcare excellence and extend their influence across sectors.
A REVIEW OF DATA INTELLIGENCE APPLICATIONS WITHIN HEALTHCARE SECTOR IN THE UN...ijsc
Data intelligence technologies have transformed the United States healthcare sector, bringing about
transformational advances in patient care, research, and healthcare management. United States is the
focus due fact that many academic and research institutions in the country are at the forefront of healthcare
data research, making it an attractive location for in-depth studies.This paper explores the diverse realm of
Data Intelligence in Healthcare, examining its applications, challenges, ethical considerations, and
emerging trends. Data Intelligence Applications encompass a spectrum of technologies designed to collect,
process, analyze, and interpret data effectively. These apps enable healthcare practitioners to make more
educated decisions, forecast health outcomes, manage population health, customize treatment, optimize
workflows, assist research, improve data security, and drive healthcare analytics. However, the use of data
intelligence applications raises issues and concerns about data privacy, fairness, transparency, data
quality, accountability, fair data access, regulatory compliance, and the balance between automation and
human judgment. Emerging themes include AI and machine learning domination, stronger ethical and
regulatory frameworks, edge and quantum computing, data democratization, sustainability applications,
and developing human-machine collaboration. Data intelligence has an impact that goes beyond
healthcare delivery, influencing decision-making, scientific discovery, education, and economic growth.
Understanding its potential and ethical responsibilities is paramount as data-driven insights redefine
healthcare excellence and extend their influence across sectors.
A REVIEW OF DATA INTELLIGENCE APPLICATIONS WITHIN HEALTHCARE SECTOR IN THE UN...ijsc
Data intelligence technologies have transformed the United States healthcare sector, bringing about
transformational advances in patient care, research, and healthcare management. United States is the
focus due fact that many academic and research institutions in the country are at the forefront of healthcare
data research, making it an attractive location for in-depth studies.This paper explores the diverse realm of
Data Intelligence in Healthcare, examining its applications, challenges, ethical considerations, and
emerging trends. Data Intelligence Applications encompass a spectrum of technologies designed to collect,
process, analyze, and interpret data effectively. These apps enable healthcare practitioners to make more
educated decisions, forecast health outcomes, manage population health, customize treatment, optimize
workflows, assist research, improve data security, and drive healthcare analytics. However, the use of data
intelligence applications raises issues and concerns about data privacy, fairness, transparency, data
quality, accountability, fair data access, regulatory compliance, and the balance between automation and
human judgment. Emerging themes include AI and machine learning domination, stronger ethical and
regulatory frameworks, edge and quantum computing, data democratization, sustainability applications,
and developing human-machine collaboration. Data intelligence has an impact that goes beyond
healthcare delivery, influencing decision-making, scientific discovery, education, and economic growth.
Understanding its potential and ethical responsibilities is paramount as data-driven insights redefine
healthcare excellence and extend their influence across sectors.
In the realm of healthcare, data is a critical asset that holds the potential to revolutionise patient care, enhance treatment outcomes, and streamline healthcare operations. One of the most valuable resources in this data-driven landscape is healthcare datasets. These datasets encompass a wide range of information, from patient medical records and clinical trial data to health insurance claims and public health statistics.
Healthcare datasets serve as the foundation for evidence-based medicine, enabling researchers and healthcare professionals to analyse trends, identify patterns, and make informed decisions. By delving into these datasets, medical researchers can uncover new insights into disease progression, treatment efficacy, and patient outcomes. This knowledge is crucial for developing more effective therapies, improving diagnostic accuracy, and tailoring treatment plans to individual patients' needs.
Moreover, healthcare datasets play a pivotal role in public health initiatives. By examining data on disease incidence, vaccination rates, and health behaviours, public health officials can design targeted interventions, allocate resources more efficiently, and monitor the impact of public health policies. This data-driven approach helps in controlling the spread of infectious diseases, promoting healthy lifestyles, and ultimately reducing the burden of illness on society.
The integration of healthcare datasets with advanced analytics and machine learning technologies opens up even more possibilities. Predictive models built on these datasets can forecast disease outbreaks, identify high-risk patient populations, and optimise resource allocation in healthcare facilities. These predictive insights are invaluable for proactive healthcare management and ensuring that patients receive timely and appropriate care.
However, the effective use of healthcare datasets is not without challenges. Issues related to data privacy, security, and interoperability need to be addressed to ensure that sensitive patient information is protected and that data from different sources can be integrated seamlessly. Additionally, the quality and completeness of data are crucial for drawing accurate conclusions, necessitating rigorous data management and validation practices.
In conclusion, healthcare datasets are a vital resource that holds immense potential for advancing medical research, improving patient care, and enhancing public health outcomes. As technology continues to evolve, the ability to harness the power of these datasets will become increasingly important in shaping the future of healthcare.
1)Policies are written documents that mirror the administrat.docxteresehearn
1)
Policies are written documents that mirror the administrators of a particular organization. In this case, the organizations are healthcare organizations such as hospitals and clinics. With healthcare informatics becoming such a big part of healthcare organizations, policies are being made to keep patients and staff safe. Healthcare informatics policy is directed at making care more effective, improving public health, and proper collection and analyzation of data to guide evidence-based practice. Since policies are reflections of administrations, they can change based on the direction a healthcare organization is heading or what their focus may be (Hebda, Hunter, Czar, 2019). For example, if a hospital is having an increase in medication administration errors, then their policy may focus on scanning all patients and medications prior to administration.
One of the biggest concerns of healthcare informatics is the privacy and protection of important patient information and policies on informatics have been aimed at reducing the risk of the security of that information being breached. Hospitals have policies such as not putting patient identifiers in emails, logging out of electronic health records once leaving the patients room, education on phishing emails, creating firewalls, having backup storages for patient information, audit trails for and specialized access for private charts. There are also policies on the recovery and retrieval of healthcare information in case of unplanned disasters. The AMIA identified six key health informatics policies: patient empowerment, HIT safety, workforce education, data sharing, quality measurement, and public health (Simpson, 2012).
The impact these policies have made on informatics have been steps in the right direction due to the importance and protection they place on informatics. They allow us to safely use informatics for better patient outcomes. Telehealth is also fairly new has new policies arising too. For example, at our hospital we use telephysch medicine for psychiatric patients in the emergency department. One of our policies is that all of our psychiatric patients must be assessed by a telepsychiatrist and their recommendation must be upheld regarding 51/50 holds. Using telemedicine in place in person consultations at hospitals that do not have in house specialties improves patient care because it saves time and money for both the patient and hospital. It is especially effective for time sensitive cases such as patients with stroke like symptoms in deciding whether or not to use TPA because instead of having to wait for a neurologist to arrive, the neurologist is able to instantly assess the patient via computer video chat and receive expert consults.
References
Hebda, T., Hunter, K. M., & Czar, P. (2019). Handbook of informatics for nurses and healthcare professionals. NY, NY: Pearson.
Simpson RL. (2002). Nursing informatics. Issues in telemedicine: why is po.
Navigating Healthcare's Seas: Unraveling the Power of Data Mining in HealthcareThe Lifesciences Magazine
Here are 5 Applications of Data Mining in Healthcare: 1. Clinical Decision Support Systems (CDSS) 2. Disease Surveillance and Outbreak Prediction 3. Fraud Detection and Prevention 4. Personalized Medicine 5. Predictive Analytics for Patient Outcomes
Big Data in Healthcare
Hospital and healthcare providers can use big data to expand the scope of their projects and draw comparisons over larger populations of data. Because big data involves the use of automation and artificial intelligence, data can be processed in larger volumes and higher velocity to uncover valuable insights for Management.
Big data enables management to proactively identify issues with real-time access to the data so that decisions can be base more on hard evidence and facts, rather than emphasizing on guesswork and assumptions about customers, employees, and vendors. Applying analytics to big data creates many opportunities for healthcare businesses to gain greater insight, predict future outcomes and automate non-routine tasks.
Healthcare industries have gone through massive technology driven transformations over the past decade. This is a result of the significant advancement in digitized, disruptive, open sourced and pervasive healthcare information technologies and peripherals in application, that are continuously producing huge volumes of diversified data. In a recent literature review, Agrawal and Prabakaran1 suggested that big data are an integral part of “the next generation of technological developments” that reveal new insights from vast quantities of data being produced from various sectors, including health care. (Shah J Miah, Edwin Camilleria, and H. Quan Vub).
Healthcare requires a lot of analysis and less room for error, with big data and analytics procedure can be game changer. Healthcare busines requires to analyze, store, and continuously update patient’s data and these tasks cannot efficiently be achieved without the help of big data.
According to Pastorino, the use of big data in health care can provision the design of solutions that improve patient care and can generate value and new strategies to overcome dynamic challenges in healthcare organizations. This is attributed to big data in health care providing an opportunity to detect meaningful patterns, which in turn produce actionable knowledge for precision medicine and various healthcare decision-makers. (Shah J Miah, Edwin Camilleria, and H. Quan Vu)
Harmony Alliance stated that opportunities offered by big data “will only materialize when healthcare systems move beyond the mere collection of large amounts of data. Linkage of previously separated data sets and their analysis using appropriate big data analytics offer new ways to accelerate research and to identify the right treatment for individual patients. Access to large data sets that paint a more comprehensive picture of patients allows patient-relevant outcomes to be measured more accurately.”
Big data is becoming crucial in this time of Covid-19, where data need to be collected from different corner of the globe. Data are collected in a big amount and need to be processed in real time so the decision-makers can have enough information to work on. Today’s world is interconnected, and pa ...
Benefits of Big Data in Health Care A Revolutionijtsrd
Lifespan of a normal human is increasing with the world population and it produces new challenge in health care. big data change the method of data management ,leverage data and analyzing data.with the help of big data we can reduces the costs of treatment, reducing medication and provide better treatment with predictive analytics. Health related data collected from various sources like electronic health record EHR ,medical imaging system, genomic sequencing, pay of records, pharmaceutical research , and medical devices, etc. are refers to as big data in healthcare. Dr. Ritushree Narayan ""Benefits of Big Data in Health Care: A Revolution"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22974.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/22974/benefits-of-big-data-in-health-care-a-revolution/dr-ritushree-narayan
Future of patient data global summary - 29 may 2018Future Agenda
We are witnessing a growing revolution around the provision of healthcare. Much is being driven by the proliferation of medical data and the technology that supports this. As the pressures on healthcare providers continue to escalate, the better collection, management and use of more patient-specific information provides a significant opportunity for innovation and change. The Future Agenda team made this, the Future of Patient Data, the focus of our major Open Foresight project for 2017/18 – 12 discussions across 11 countries, gathering views from over 300 experts.
This report shares the findings from the Future of Patient Data research project. It highlights several important emerging issues that are the source of major differences of opinion around the world. These include how to best accommodate rising data sovereignty concerns, the privatisation of health information and the growing value of health data. Some of the challenges and opportunities are technical in nature, but many are concerned with different ethical, philosophical and cultural approaches to health and how we treat the sick in society.
To access the full report please see https://www.futureofpatientdata.org
Theory of Human Caring on APN Role Student PresentationWeb PageMikeEly930
Theory of Human Caring on APN Role Student Presentation
Web Page
Assignment Prompt
Explore the influence of Jean Watson’s Theory of Human Caring on your future role as an APN. The student will explore the concepts and Caritas processes from the Theory of Human Caring and present how these concepts may impact their future APN role.
Directions:
1. The student will create a PowerPoint and include speaker notes that may be added to the speaker note section on each slide.
2. The presentation should be limited to no more than 10 slides. See suggested slides below.
3. If you are unfamiliar with Dr. Watson's theory see this overview.
A suggested outline for the presentation may include the following slides:
Slide 1 - Introduction to yourself and future planned APN role and practice
Slide 2 - Previous experience with Watson’s Theory of Human Caring
Slide 3 - Core Concepts of the Theory Applicable to the APN role
Slide 4 - Core Concepts of the Theory Applicable to the APN role (as needed)
Slide 5 - Five Carative Factors or Caritas Processes You Plan to Use in the APN Role
Slide 6 - Five Carative Factors or Caritas Processes You Plan to Use in the APN Role (as needed)
Slide 7 - What Does the Theory of Human Caring Mean to You
Slide 8 - APN Implications of Theory of Human Caring
Slide 9 - Summary/Main Points
Slide 10 - Reference
Expectations
· Format: PPT Presentation with Speaker Notes
· Length: 10 Slides, maximum
· Plagiarism free.
· Turnitin receipt.
· Please reply to the two-discussion post below.
· APA Format with intext citation
· Each post must have two scholarly references
· 180-to-200-word count minimal
· Make it sound personal
Keyandra W
Discussion 1
Top of Form
Under the healthcare context, big data (BD) signifies immense volumes of data resulting from the adoption of digital tools that gather patients' data and help direct hospital performance. Globally, healthcare systems are increasingly facing incredible challenges due to disability and the aging population, patients' expectations, and increased technology use. The increasing use of BD can help clinicians meet these goals unprecedentedly. The potential of BD in the medical industry relies on the ability to turn high data volumes into actionable knowledge and detect patterns for decision-maker and precision medicine. The use of BD in healthcare contributes towards ensuring patients' safety in several contexts. Evidence bolsters that EHRs can become a vital tool for communication across healthcare teams and a valuable information hub when implemented well (Pastorino et al., 2019). However, the process towards the use of BD requires interdisciplinary collaboration and adapt performance and design of the systems. Additionally, the proliferating use of big data requires the healthcare teams to build technological infrastructure to invest in human capital and cover and house the massive volumes of medical care data to guide people into the novel frontier of health and wellbeing. The ...
Role of Health Information Systems in Health CareIn the articl.docxhealdkathaleen
Role of Health Information Systems in Health Care
In the article, Robert Fichman, Rajiv Kohli, and Ranjani Krishnan discussed the role of the Health Information System in Health Care on the medical, social, and economic points related to the diagnosis providing and financial transactions. The main argument of the article indicates the future indispensability of the IS utilization in Health Care system regarding the optimization of the medical process, which will benefit the medical staff and clients’ recuperation. The authors support the claim stating that the involvement of the IS promotes the reduction of treatment costs caused by the mechanized data recording. Moreover, the adaptation of IS leads to the successful outperformance of the challenges related to the hierarchical nature of healthcare, which implies the physicians’ appropriate implementation of technology for the process of examination, treatment, and rehabilitation program elaboration, which intensifies the adherence of the medical professional to the client-centered orientation. Finally, IS deals with the privacy concern, which presents the obligation of the medical professional to ensure the security of the patient’s data to avoid the leakage of information as the issue of data loss deals with PHI, which can follow the court procedures. Hence, the authors lead to the point that the utilization of the Information Systems will optimize the quality of medical service due to the improvement of the data transfer, diagnosis and treatment program creation, and reduction of the cost of service.
Recommendations
1. According to Fichman, Kohli, and Krishnan (2011), the utilization of IS enhances the risk of patients’ data leakage, which captures media attention and violates security regulations. Regarding the presented perspective the recommendation implies ensuring IS with encryption, which will provide anonymity of the clients’ data and its automatic deletion in case of hacking attack. In this case, addressing the program of the identity based anonymization represents a reasonable solution of the privacy preservation as it encodes and removes patients’ identifiable information from the data set and means that the necessary information is visible for the clients/medical professionals and deleted for the hackers (Abouelmehdi, Beni Hessane, & Khaloufi, 2018).
2. Fichman, Kohli, and Krishnan (2011) state that the medical professionals apply IS during the process of treatment program creation, which aims to enhance patients’ satisfaction. However, the principal challenge of the presented point specifies the necessity of the correct assessment of the clients’ clinical history. Regarding the mentioned perspective, the recommendation means the elaboration of the separate Patient Data Analysis information system. PDA-IS utilizes the query engine, that implies the generation of standard and ad-hoc analytical patient and service-centric queries, which promotes the qualified analysis of the pati ...
Application of Big Data in Medical Science brings revolution in managing heal...IJEEE
Big Data can be combined with new technology to bring about positive conversion in the health care segment. A technology aimed at making Big Data analytics a certainty will act as a key element in transforming the way the health care industry operates today. The study and analysis of Big Data can be used for tracking and managing population health care effectively and efficiently. In ten years, eighty percent of the work people do in medicine will be replaced by technology. And medicine will not look anything like what it does today. Healthcare will change enormously as it becomes a data-driven industry. But the magnitude of the data, the speed at which it’s growing and the threat it could pose to individual privacy mean mastering "big data" is one of biomedicine's most pressing challenges. Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world. This also plays a vital role in delivering preventive care. Health care will change a great deal as it becomes a data- driven industry. But the size of the data, the speed at which it’s growing and the threat it could cause to individual privacy mean mastering it is one of biomedicine's most critical challenges. In this research paper we will discuss problems faced by big data, obstacles in using big data in the health industry, how big Data analytics can take health care to a new level by enhancing the overall quality of patient care.
Overview of Health Informatics: survey of fundamentals of health information technology, Identify the forces behind health informatics, educational and career opportunities in health informatics.
Healthcare data and its impact upon the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Data-driven healthcare is beginning to have a huge impact addressing the challenges of every provider, through efficient handling of huge volumes of patient care data.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
Why Is There A Need For Healthcare Data Aggregation.pptxPersivia Inc
Healthcare Data Aggregation is crucial in streamlining information, improving patient care, and enhancing overall healthcare outcomes. Aggregating healthcare data allows for the creation of comprehensive patient profiles by pulling information from various sources such as electronic health records (EHRs), wearable devices, and diagnostic tools. This holistic view enables healthcare professionals to make more informed decisions about patient care.
I have an assignment due today. Part 1IT Presentations .docxmaple8qvlisbey
I have an assignment due today.
Part 1
IT Presentations Worksheet
When completing the worksheet, use a variety of multimedia from the following list: objects, models, video, WebEx, Prezi, PowerPoint
®
, Speaker, Transparencies, Flip Charts, Handouts, etc.
Complete
the table for each audience by:
·
Selecting the type of presentation that might be delivered to each audience.
·
Describing, in 75 to 100 words, the purpose and potential topic for each audience.
·
Describing three types of media that would be appropriate for each audience and why you selected each type.
Audience
Type of IT Presentation –
Select the type of presentation that might be delivered to the audience.
Purpose and Topic –
Describe the purpose and potential topics in 75 to 100 words.
3 Types of Media
Describe 3 types of multimedia that would be appropriate for this audience and explain why you chose each.
Board Room
Small Audience of Peers
Large Audience of General Public
Virtual Audience of Mixed Attendees
Part 2
Informative Presentation Outline
Use
this outline to help you prepare your informative presentation in Weeks 2 and 3.
Part 1: Audience and Purpose
What is the topic of your speech?
Who is the audience for your speech?
What is the purpose of your speech?
Part 2: Outline
– Complete the outline for your presentation. You will write out the introduction and conclusion, which you will record Week 2 in YouSeeU. Your speech should have at least two body sections, with supporting points.
Introduction – Write out the introduction that you will record in Week 2.
Body Section 1
Supporting point
Supporting point
Body Section 2
Supporting point
Supporting point
Body Section 3
Supporting point
Supporting point
Conclusion – Write out your conclusion that you will record in Week 2.
Part 3: Reflection
– Answer the following reflective questions
:
Describe what worked well for you in the outlining and preparation phases of the presentation.
Identify at least three signs of speech anxiety and methods you will use to control them.
Describe ways you can capture the attention of your audience and continue to engage them throughout the presentation.
.
I have a test right now for my International Finance course.I know.docxmaple8qvlisbey
I have a test right now for my International Finance course.
I know some of the content but do not feel confident with the majority of it.
Topics are:
Measuring Exposure to Exchange Rate Fluctuations
Managing Transaction Exposure
Managing Economic Exposure and Translation Exposure
Currency Derivatives
There are 50 multiple choice questions and 150 minutes is given to complete the exam.
The tutor will either need to be able to stay on live chat or be able to frequently monitor the direct message system.
The qustions and answer options will be sent over chat or DM with answer being sent back in same fassion.
The deal is $10 handshake with another $10 after the work is complete.
(WhatsApp and Skype may be utilized as well if this is an option for you)
.
More Related Content
Similar to Please respond to each of the 3 posts with 3 APA sources no older th
1)Policies are written documents that mirror the administrat.docxteresehearn
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Policies are written documents that mirror the administrators of a particular organization. In this case, the organizations are healthcare organizations such as hospitals and clinics. With healthcare informatics becoming such a big part of healthcare organizations, policies are being made to keep patients and staff safe. Healthcare informatics policy is directed at making care more effective, improving public health, and proper collection and analyzation of data to guide evidence-based practice. Since policies are reflections of administrations, they can change based on the direction a healthcare organization is heading or what their focus may be (Hebda, Hunter, Czar, 2019). For example, if a hospital is having an increase in medication administration errors, then their policy may focus on scanning all patients and medications prior to administration.
One of the biggest concerns of healthcare informatics is the privacy and protection of important patient information and policies on informatics have been aimed at reducing the risk of the security of that information being breached. Hospitals have policies such as not putting patient identifiers in emails, logging out of electronic health records once leaving the patients room, education on phishing emails, creating firewalls, having backup storages for patient information, audit trails for and specialized access for private charts. There are also policies on the recovery and retrieval of healthcare information in case of unplanned disasters. The AMIA identified six key health informatics policies: patient empowerment, HIT safety, workforce education, data sharing, quality measurement, and public health (Simpson, 2012).
The impact these policies have made on informatics have been steps in the right direction due to the importance and protection they place on informatics. They allow us to safely use informatics for better patient outcomes. Telehealth is also fairly new has new policies arising too. For example, at our hospital we use telephysch medicine for psychiatric patients in the emergency department. One of our policies is that all of our psychiatric patients must be assessed by a telepsychiatrist and their recommendation must be upheld regarding 51/50 holds. Using telemedicine in place in person consultations at hospitals that do not have in house specialties improves patient care because it saves time and money for both the patient and hospital. It is especially effective for time sensitive cases such as patients with stroke like symptoms in deciding whether or not to use TPA because instead of having to wait for a neurologist to arrive, the neurologist is able to instantly assess the patient via computer video chat and receive expert consults.
References
Hebda, T., Hunter, K. M., & Czar, P. (2019). Handbook of informatics for nurses and healthcare professionals. NY, NY: Pearson.
Simpson RL. (2002). Nursing informatics. Issues in telemedicine: why is po.
Navigating Healthcare's Seas: Unraveling the Power of Data Mining in HealthcareThe Lifesciences Magazine
Here are 5 Applications of Data Mining in Healthcare: 1. Clinical Decision Support Systems (CDSS) 2. Disease Surveillance and Outbreak Prediction 3. Fraud Detection and Prevention 4. Personalized Medicine 5. Predictive Analytics for Patient Outcomes
Big Data in Healthcare
Hospital and healthcare providers can use big data to expand the scope of their projects and draw comparisons over larger populations of data. Because big data involves the use of automation and artificial intelligence, data can be processed in larger volumes and higher velocity to uncover valuable insights for Management.
Big data enables management to proactively identify issues with real-time access to the data so that decisions can be base more on hard evidence and facts, rather than emphasizing on guesswork and assumptions about customers, employees, and vendors. Applying analytics to big data creates many opportunities for healthcare businesses to gain greater insight, predict future outcomes and automate non-routine tasks.
Healthcare industries have gone through massive technology driven transformations over the past decade. This is a result of the significant advancement in digitized, disruptive, open sourced and pervasive healthcare information technologies and peripherals in application, that are continuously producing huge volumes of diversified data. In a recent literature review, Agrawal and Prabakaran1 suggested that big data are an integral part of “the next generation of technological developments” that reveal new insights from vast quantities of data being produced from various sectors, including health care. (Shah J Miah, Edwin Camilleria, and H. Quan Vub).
Healthcare requires a lot of analysis and less room for error, with big data and analytics procedure can be game changer. Healthcare busines requires to analyze, store, and continuously update patient’s data and these tasks cannot efficiently be achieved without the help of big data.
According to Pastorino, the use of big data in health care can provision the design of solutions that improve patient care and can generate value and new strategies to overcome dynamic challenges in healthcare organizations. This is attributed to big data in health care providing an opportunity to detect meaningful patterns, which in turn produce actionable knowledge for precision medicine and various healthcare decision-makers. (Shah J Miah, Edwin Camilleria, and H. Quan Vu)
Harmony Alliance stated that opportunities offered by big data “will only materialize when healthcare systems move beyond the mere collection of large amounts of data. Linkage of previously separated data sets and their analysis using appropriate big data analytics offer new ways to accelerate research and to identify the right treatment for individual patients. Access to large data sets that paint a more comprehensive picture of patients allows patient-relevant outcomes to be measured more accurately.”
Big data is becoming crucial in this time of Covid-19, where data need to be collected from different corner of the globe. Data are collected in a big amount and need to be processed in real time so the decision-makers can have enough information to work on. Today’s world is interconnected, and pa ...
Benefits of Big Data in Health Care A Revolutionijtsrd
Lifespan of a normal human is increasing with the world population and it produces new challenge in health care. big data change the method of data management ,leverage data and analyzing data.with the help of big data we can reduces the costs of treatment, reducing medication and provide better treatment with predictive analytics. Health related data collected from various sources like electronic health record EHR ,medical imaging system, genomic sequencing, pay of records, pharmaceutical research , and medical devices, etc. are refers to as big data in healthcare. Dr. Ritushree Narayan ""Benefits of Big Data in Health Care: A Revolution"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22974.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/22974/benefits-of-big-data-in-health-care-a-revolution/dr-ritushree-narayan
Future of patient data global summary - 29 may 2018Future Agenda
We are witnessing a growing revolution around the provision of healthcare. Much is being driven by the proliferation of medical data and the technology that supports this. As the pressures on healthcare providers continue to escalate, the better collection, management and use of more patient-specific information provides a significant opportunity for innovation and change. The Future Agenda team made this, the Future of Patient Data, the focus of our major Open Foresight project for 2017/18 – 12 discussions across 11 countries, gathering views from over 300 experts.
This report shares the findings from the Future of Patient Data research project. It highlights several important emerging issues that are the source of major differences of opinion around the world. These include how to best accommodate rising data sovereignty concerns, the privatisation of health information and the growing value of health data. Some of the challenges and opportunities are technical in nature, but many are concerned with different ethical, philosophical and cultural approaches to health and how we treat the sick in society.
To access the full report please see https://www.futureofpatientdata.org
Theory of Human Caring on APN Role Student PresentationWeb PageMikeEly930
Theory of Human Caring on APN Role Student Presentation
Web Page
Assignment Prompt
Explore the influence of Jean Watson’s Theory of Human Caring on your future role as an APN. The student will explore the concepts and Caritas processes from the Theory of Human Caring and present how these concepts may impact their future APN role.
Directions:
1. The student will create a PowerPoint and include speaker notes that may be added to the speaker note section on each slide.
2. The presentation should be limited to no more than 10 slides. See suggested slides below.
3. If you are unfamiliar with Dr. Watson's theory see this overview.
A suggested outline for the presentation may include the following slides:
Slide 1 - Introduction to yourself and future planned APN role and practice
Slide 2 - Previous experience with Watson’s Theory of Human Caring
Slide 3 - Core Concepts of the Theory Applicable to the APN role
Slide 4 - Core Concepts of the Theory Applicable to the APN role (as needed)
Slide 5 - Five Carative Factors or Caritas Processes You Plan to Use in the APN Role
Slide 6 - Five Carative Factors or Caritas Processes You Plan to Use in the APN Role (as needed)
Slide 7 - What Does the Theory of Human Caring Mean to You
Slide 8 - APN Implications of Theory of Human Caring
Slide 9 - Summary/Main Points
Slide 10 - Reference
Expectations
· Format: PPT Presentation with Speaker Notes
· Length: 10 Slides, maximum
· Plagiarism free.
· Turnitin receipt.
· Please reply to the two-discussion post below.
· APA Format with intext citation
· Each post must have two scholarly references
· 180-to-200-word count minimal
· Make it sound personal
Keyandra W
Discussion 1
Top of Form
Under the healthcare context, big data (BD) signifies immense volumes of data resulting from the adoption of digital tools that gather patients' data and help direct hospital performance. Globally, healthcare systems are increasingly facing incredible challenges due to disability and the aging population, patients' expectations, and increased technology use. The increasing use of BD can help clinicians meet these goals unprecedentedly. The potential of BD in the medical industry relies on the ability to turn high data volumes into actionable knowledge and detect patterns for decision-maker and precision medicine. The use of BD in healthcare contributes towards ensuring patients' safety in several contexts. Evidence bolsters that EHRs can become a vital tool for communication across healthcare teams and a valuable information hub when implemented well (Pastorino et al., 2019). However, the process towards the use of BD requires interdisciplinary collaboration and adapt performance and design of the systems. Additionally, the proliferating use of big data requires the healthcare teams to build technological infrastructure to invest in human capital and cover and house the massive volumes of medical care data to guide people into the novel frontier of health and wellbeing. The ...
Role of Health Information Systems in Health CareIn the articl.docxhealdkathaleen
Role of Health Information Systems in Health Care
In the article, Robert Fichman, Rajiv Kohli, and Ranjani Krishnan discussed the role of the Health Information System in Health Care on the medical, social, and economic points related to the diagnosis providing and financial transactions. The main argument of the article indicates the future indispensability of the IS utilization in Health Care system regarding the optimization of the medical process, which will benefit the medical staff and clients’ recuperation. The authors support the claim stating that the involvement of the IS promotes the reduction of treatment costs caused by the mechanized data recording. Moreover, the adaptation of IS leads to the successful outperformance of the challenges related to the hierarchical nature of healthcare, which implies the physicians’ appropriate implementation of technology for the process of examination, treatment, and rehabilitation program elaboration, which intensifies the adherence of the medical professional to the client-centered orientation. Finally, IS deals with the privacy concern, which presents the obligation of the medical professional to ensure the security of the patient’s data to avoid the leakage of information as the issue of data loss deals with PHI, which can follow the court procedures. Hence, the authors lead to the point that the utilization of the Information Systems will optimize the quality of medical service due to the improvement of the data transfer, diagnosis and treatment program creation, and reduction of the cost of service.
Recommendations
1. According to Fichman, Kohli, and Krishnan (2011), the utilization of IS enhances the risk of patients’ data leakage, which captures media attention and violates security regulations. Regarding the presented perspective the recommendation implies ensuring IS with encryption, which will provide anonymity of the clients’ data and its automatic deletion in case of hacking attack. In this case, addressing the program of the identity based anonymization represents a reasonable solution of the privacy preservation as it encodes and removes patients’ identifiable information from the data set and means that the necessary information is visible for the clients/medical professionals and deleted for the hackers (Abouelmehdi, Beni Hessane, & Khaloufi, 2018).
2. Fichman, Kohli, and Krishnan (2011) state that the medical professionals apply IS during the process of treatment program creation, which aims to enhance patients’ satisfaction. However, the principal challenge of the presented point specifies the necessity of the correct assessment of the clients’ clinical history. Regarding the mentioned perspective, the recommendation means the elaboration of the separate Patient Data Analysis information system. PDA-IS utilizes the query engine, that implies the generation of standard and ad-hoc analytical patient and service-centric queries, which promotes the qualified analysis of the pati ...
Application of Big Data in Medical Science brings revolution in managing heal...IJEEE
Big Data can be combined with new technology to bring about positive conversion in the health care segment. A technology aimed at making Big Data analytics a certainty will act as a key element in transforming the way the health care industry operates today. The study and analysis of Big Data can be used for tracking and managing population health care effectively and efficiently. In ten years, eighty percent of the work people do in medicine will be replaced by technology. And medicine will not look anything like what it does today. Healthcare will change enormously as it becomes a data-driven industry. But the magnitude of the data, the speed at which it’s growing and the threat it could pose to individual privacy mean mastering "big data" is one of biomedicine's most pressing challenges. Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world. This also plays a vital role in delivering preventive care. Health care will change a great deal as it becomes a data- driven industry. But the size of the data, the speed at which it’s growing and the threat it could cause to individual privacy mean mastering it is one of biomedicine's most critical challenges. In this research paper we will discuss problems faced by big data, obstacles in using big data in the health industry, how big Data analytics can take health care to a new level by enhancing the overall quality of patient care.
Overview of Health Informatics: survey of fundamentals of health information technology, Identify the forces behind health informatics, educational and career opportunities in health informatics.
Healthcare data and its impact upon the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Data-driven healthcare is beginning to have a huge impact addressing the challenges of every provider, through efficient handling of huge volumes of patient care data.
Providers need to move towards real-time analytics that have become critical to demonstrate their quality of care, as reimbursement by government programs can be contingent upon how providers are measured in “Quality of Care”. For example, the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015, also called the Permanent Doc Fix, changes the way Medicare doctors are reimbursed with the implementation of a merit based incentive. The performance-based pressure is huge, which makes it imperative that every provider consider technology solutions. Read more at https://www.solix.com/solutions/data-driven-solutions/healthcare/
Why Is There A Need For Healthcare Data Aggregation.pptxPersivia Inc
Healthcare Data Aggregation is crucial in streamlining information, improving patient care, and enhancing overall healthcare outcomes. Aggregating healthcare data allows for the creation of comprehensive patient profiles by pulling information from various sources such as electronic health records (EHRs), wearable devices, and diagnostic tools. This holistic view enables healthcare professionals to make more informed decisions about patient care.
Similar to Please respond to each of the 3 posts with 3 APA sources no older th (20)
I have an assignment due today. Part 1IT Presentations .docxmaple8qvlisbey
I have an assignment due today.
Part 1
IT Presentations Worksheet
When completing the worksheet, use a variety of multimedia from the following list: objects, models, video, WebEx, Prezi, PowerPoint
®
, Speaker, Transparencies, Flip Charts, Handouts, etc.
Complete
the table for each audience by:
·
Selecting the type of presentation that might be delivered to each audience.
·
Describing, in 75 to 100 words, the purpose and potential topic for each audience.
·
Describing three types of media that would be appropriate for each audience and why you selected each type.
Audience
Type of IT Presentation –
Select the type of presentation that might be delivered to the audience.
Purpose and Topic –
Describe the purpose and potential topics in 75 to 100 words.
3 Types of Media
Describe 3 types of multimedia that would be appropriate for this audience and explain why you chose each.
Board Room
Small Audience of Peers
Large Audience of General Public
Virtual Audience of Mixed Attendees
Part 2
Informative Presentation Outline
Use
this outline to help you prepare your informative presentation in Weeks 2 and 3.
Part 1: Audience and Purpose
What is the topic of your speech?
Who is the audience for your speech?
What is the purpose of your speech?
Part 2: Outline
– Complete the outline for your presentation. You will write out the introduction and conclusion, which you will record Week 2 in YouSeeU. Your speech should have at least two body sections, with supporting points.
Introduction – Write out the introduction that you will record in Week 2.
Body Section 1
Supporting point
Supporting point
Body Section 2
Supporting point
Supporting point
Body Section 3
Supporting point
Supporting point
Conclusion – Write out your conclusion that you will record in Week 2.
Part 3: Reflection
– Answer the following reflective questions
:
Describe what worked well for you in the outlining and preparation phases of the presentation.
Identify at least three signs of speech anxiety and methods you will use to control them.
Describe ways you can capture the attention of your audience and continue to engage them throughout the presentation.
.
I have a test right now for my International Finance course.I know.docxmaple8qvlisbey
I have a test right now for my International Finance course.
I know some of the content but do not feel confident with the majority of it.
Topics are:
Measuring Exposure to Exchange Rate Fluctuations
Managing Transaction Exposure
Managing Economic Exposure and Translation Exposure
Currency Derivatives
There are 50 multiple choice questions and 150 minutes is given to complete the exam.
The tutor will either need to be able to stay on live chat or be able to frequently monitor the direct message system.
The qustions and answer options will be sent over chat or DM with answer being sent back in same fassion.
The deal is $10 handshake with another $10 after the work is complete.
(WhatsApp and Skype may be utilized as well if this is an option for you)
.
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Excel spreadsheet + a Word document (2 - 3 pages)
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A comprehensive summary of the firm that you chose to study; include an initial assessment, then conduct your formal financial analysis
Conduct a financial ratio analysis and include a summary of your findings including any major concerns or findings that you encountered while conducting the analysis
A summary of your findings after you prepared the firm's pro forma statements and what you learned about the firm while performing this task
.
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i have already done the first four steps.
only last two steps left.
Which dessert would you like?
None
chocolate
icecream
fruit
brule
Do you like writing exams?
Love
Like
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First Name:
Last Name:
.
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This Master class level class and need to be done perfect.
No copy and past at all or I will get 0%
Use good relative references.
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.
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2. Featured Product.
3. Value Creation.
4. Micro/Macro environment.
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I am not looking for an A+ here.... I just want a B .. that is good..
The book X.J kennedy* Dana Gioia.. Literature an Introduction to fiction, poetry, Drama and Writing. 12th or 13th Edition.
You can write about:
"Brownies" By ZZ Packer
or
"The Swimmer" By John Cheever
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"" I need it by tomorrow""
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I have a 2 page paper for my construction management class I nee.docxmaple8qvlisbey
I have a 2 page paper for my construction management class
I need it by 4 pm my time
Research a topic in construction that you would like to learn about or discuss. write a 2 page paper on the subject. Please use single space and provide at a couple of references.
Let me know if you can take it.. You can choose any topic under construction managemen.
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I dont want word counting just complete the question.Review the.docxmaple8qvlisbey
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Review the 10 cases presented for consideration in Question 2 (letters a - j) of the Chapter-End Questions in Chapter 2 (pp. 80-81 of the eBook).
For your first post, prepare a detailed response for one of the ten scenarios, explaining your conclusion regarding whether the scenario constitutes a violation of public policy or a breach of a covenant of good faith and fair dealing. Support your conclusion with legal analysis and reasoning. Explain whether any of the scenarios give rise to potential employer liability and what steps should have been taken to avoid the exposure. Then, comment and expand on the posts of the other class members.
a.
A female child care worker alleges that she was unlawfully terminated from her position as the director of a child care facility after continually refusing to make staff cuts. The staff cuts she was asked to make resulted in violation of state regulations governing the minimum ratios betweens staff and child. After the employee was terminated, the employer’s child care center was in violation of the staff-to-child ratio. [
Jasper v. H. Nizam, Inc.
, 764 N.W.2d 751, 2009 Iowa Sup.]
b.
A
machine operator employee with a major depressive disorder intermittently takes leaves under the Family and Medical Leave Act, resulting in alleged harassment by her employer surrounding her FMLA usage as well as a transfer to various difficult machines after her return from leave. Two months after her last FMLA leave, she is terminated for “improper phone usage.” [
Hite v. Vermeer Mfg. Co.
, 361 F. Supp. 2d 935 (S.D. Iowa, 2005).]
c.
A
nurse is asked by her employer to sign a backdated Medicare form. She refuses and is terminated that day. As a health care provider, she is required to complete that particular form. [
Callantine v. Staff Builders, Inc.
, 271 F.3d 1124 (8th Cir. 2001).]
d.
A
legal secretary to a county commissioner is terminated because of her political beliefs. [
Armour
v.
County of Beaver
, 271 F3d 417 (3d Cir. 2001).]
e.
A
teacher under contract is terminated after insisting that his superiors report a situation where a student was being physically abused. The teacher refused to commit an illegal act of not reporting the suspected abuse to family services. [
Keveney v. Missouri Military Academy
, 304 S.W.3d 98 (MO 2010).]
80 81
f.
A recent college graduate found a job with an office supply company as a reverse logistics analyst. Soon after being hired, he found that some practices within the department could be deemed unlawful and unethical. Three specific types of practices were written up in a formal complaint to his supervisor: (1) the issuing of monetary credits to customers without proper documentation, thus overpaying customers without returned goods; (2) the department’s knowingly withholding from contract customers by underissuing credits over $25; and (3) the canceling and reissuing of pickup orders that could allow courie.
I am working on this homework using MYSQL database. Can you help. At.docxmaple8qvlisbey
I am working on this homework using MYSQL database. Can you help. Attached is the homework question.
Here is the scripts am using for the question.
/* Database Systems, 9th Ed., Coronel/MOrris/Rob */
/* Type of SQL : MySQL */
CREATE SCHEMA TINY_VIDEO;
USE TINY_VIDEO;
/*Create table price*/
CREATE TABLE price
(price_id INTEGER PRIMARY KEY AUTO_INCREMENT,
description VARCHAR(20) NOT NULL,
rental_fee DECIMAL(5,2),
daily_late_fee DECIMAL(5,2));
/*Insert data into price*/
INSERT INTO price VALUES(1,'Standard',2.5,1);
INSERT INTO price VALUES(2,'New Release',4.0,3);
INSERT INTO price VALUES(3,'Discount',2.0,1);
INSERT INTO price VALUES(4,'Weekly Special',1.5,.5);
/*Create table movie*/
CREATE TABLE movie
(movie_id INTEGER PRIMARY KEY AUTO_INCREMENT,
title VARCHAR(75) NOT NULL,
year_released INTEGER,
cost DECIMAL(5,2),
genre VARCHAR(50),
price_id INTEGER,
FOREIGN KEY(price_id) REFERENCES price(price_id));
/*Insert data into movie*/
INSERT INTO movie VALUES(1234,'The Cesar Family Christmas',2007,39.95,'FAMILY',2);
INSERT INTO movie VALUES(1235,'Smokey Mountain Wildlife',2004,59.95,'ACTION',3);
INSERT INTO movie VALUES(1236,'Richard Goodhope',2008,59.95,'DRAMA',2);
INSERT INTO movie VALUES(1237,'Beatnik Fever',2007,29.95,'COMEDY',2);
INSERT INTO movie VALUES(1238,'Constant Companion',2008,89.95,'DRAMA',NULL);
INSERT INTO movie VALUES(1239,'Where Hope Dies',1998,25.49,'DRAMA',3);
INSERT INTO movie VALUES(1245,'Time to Burn',2006,45.49,'ACTION',3);
INSERT INTO movie VALUES(1246,'What He Doesn''t Know',2006,58.29,'COMEDY',1);
/*Create table video*/
CREATE TABLE video
(video_id INTEGER PRIMARY KEY AUTO_INCREMENT,
purchase_date DATE,
movie_id INTEGER,
FOREIGN KEY(movie_id) REFERENCES movie(movie_id));
/*Insert data into video*/
INSERT INTO video VALUES(54321,'2008-06-18',1234);
INSERT INTO video VALUES(54324,'2008-06-18',1234);
INSERT INTO video VALUES(54325,'2008-06-18',1234);
INSERT INTO video VALUES(34341,'2007-01-22',1235);
INSERT INTO video VALUES(34342,'2007-01-22',1235);
INSERT INTO video VALUES(34366,'2009-03-02',1236);
INSERT INTO video VALUES(34367,'2009-03-02',1236);
INSERT INTO video VALUES(34368,'2009-03-02',1236);
INSERT INTO video VALUES(34369,'2009-03-02',1236);
INSERT INTO video VALUES(44392,'2008-10-21',1237);
INSERT INTO video VALUES(44397,'2008-10-21',1237);
INSERT INTO video VALUES(59237,'2009-02-14',1237);
INSERT INTO video VALUES(61388,'2007-01-25',1239);
INSERT INTO video VALUES(61353,'2006-01-28',1245);
INSERT INTO video VALUES(61354,'2006-01-28',1245);
INSERT INTO video VALUES(61367,'2008-07-30',1246);
INSERT INTO video VALUES(61369,'2008-07-30',1246);
/*Create table membership*/
CREATE TABLE membership
(membership_id INTEGER PRIMARY KEY AUTO_INCREMENT,
first_name VARCHAR(30) NOT NULL,
last_name VARCHAR(30) NOT NULL,
street VARCHAR.
I do not have a problem using a program to compute ANOVA. I need ste.docxmaple8qvlisbey
I do not have a problem using a program to compute ANOVA. I need step by step instruction how to get to the table. Thank you in advance.
17. The following data are from a hypothetical study on the effects of age and time on scores on a test of reading comprehension. Compute the analysis of variance summary table.
12 years old
16 year old
30 minutes
66
68
59
72
46
74
71
67
82
76
60 minutes
69
61
69
73
61
95
92
95
98
94
.
I do have a final paper in my Anthropology class and I need someone.docxmaple8qvlisbey
I do have a final paper in my Anthropology class and I need someone's help. I attached the instructions and articles to be used in the assignment. the most important thing I care about is your "Honesty". I have handshaked with many memebers in this website and they did not complete the assignment on time. Anyway, the paper is 4 pages long. you will need to look at the instruction and the articles before you start writing! more importantly, you have to be well- knowledged in Anthropoplogy..
Do not bother me if you have not taken anthropolgy class before.
.
I attached another student post powerpoint.Response GuidelinesRe.docxmaple8qvlisbey
I attached another student post powerpoint.
Response Guidelines
Review the posts of your peers and respond to one of them. Address the items they would like you to focus on, but make sure your feedback considers both the content of the material and its presentation. Tell them what you liked about the presentation. Make a suggestion or two for improvement. The thoughtful feedback you give your peers will not only help them improve their work but will also provide you with insights about your own work.
This is the information:
THE ETHICAL DILEMMA SPYING ON UNILEVER INTRODUCTION In Business Ethics as a Rational Choice, John Hooker cited a case study to analyze rational choice based on an issue with espionage. In 2001, John Pepper, Chairman of the Board at
Procter
and Gamble, found out that some of his contractors were spying on
Unilever
, one of his competitors. Information they found was also in the business media a day before, he discovered. Was this ethical, based on generalizable, utilitarian, and virtue ethics? Was it GENERALIZABLE? Generalizable means there must be a reason behind an action, and the action is justified for everyone (p.7). Was it utilitarian? Utilitarian analysis states that the rational choice must maximize utility (p. 6). The marketing professionals did not have to search in the trash for information since the day before they did it, similar information was already in the media. Therefore their actions were unjustifiable. no: it was not generalizable Was it virtue ethics? Virtue ethics must be consistent with broad cultural acceptable behaviors Conclusion P &G's espionage activity did not pass the code of ethics test, since it needed to pass all three to be considered rationally ethical. Therefore, John Pepper's reactions to the issue was valid and justified. Their actions failed in the generalization, utilitarian, and virtue ethics tests. The net usage of the information they found in the trash did not surpass the information found in the news, because it was the same exact information. Therefore it was useless of them to go into the trash in search of secrets. no: it was not utilitarian It is unacceptable in our culture to have our professionals diving into dumpsters to spy on other firms in order to get ahead. Especially after the information was aired in the media, why was this company conducting this espionage. no: it was not virtue ethical References Hooker, J. (2011). Business ethics as rational choice. Upper Saddle River, NJ: Pearson Education.
OK
Study Information:
·
Program Skill Assessments
Activity Context
This study helps you develop the skills to master the following course competency:
Communicate in a manner that is professional and consistent with expectations for members of the business professions.
Activity Instructions
Two key competencies that will help you throughout your academic program and business career are the abilities to communicate effectively in writing and to work accurately an.
I attached survey cover page, survey, and grading rubricI also att.docxmaple8qvlisbey
I attached survey cover page, survey, and grading rubric
I also attached sample rubric feedback
There are two things I would ask for
1. complete survey #11, and #12
2. Provide feedback on the rubric
It does not have to be that long, but has to include all 11 elements on the rubric
.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Thesis Statement for students diagnonsed withADHD.ppt
Please respond to each of the 3 posts with 3 APA sources no older th
1. Please respond to each of the 3 posts with 3 APA sources no
older than 5 years old. APA format must be exceptional.
Reply 1
Professor,
How can big data impact prescription errors? Be specific and
provide examples. Who should be on the team to implement this
project and why? Support your work with the literature.
Reply 2
Ruth Niyasimi,
Big Data Risks and Rewards
Big data is defined as the process of collecting, analyzing, and
leveraging consumer patient, physical, and clinical data that is
too vast or complex to be understood by traditional means of
data processing. In healthcare, data is generated from medical
records, patient portals, government agencies, research studies,
electronic health records, and medical devices. The data
generated in healthcare is used to make decisions that will have
an impact on patient health outcomes (Raghupathi &
Raghupathi, 2014). Healthcare is a critical docket in our society
since it is tasked with a duty to prevent, diagnose and treat
illnesses and diseases affecting the community. In the past,
health information was stored on paper but through
advancements in technology, things have significantly changed
as patient information is stored on Electronic health records
2. (EHR).
The adoption of big data had significant impacts on
customer services and other related issues. According to
Raghupathi and Raghupathi (2014), for many years, healthcare
has been generating huge volumes of data that was stored in
hardcopy. This was a critical step toward improving the quality
of healthcare delivery while reducing costs. This huge volume
of information is crucial to healthcare because, through
digitalization, it has become possible to detect diseases at an
early stage and take necessary intervention measures. Secondly,
big data enables the ability to enhance continuity, starting when
a patient visits a hospital until the last stage of being
discharged. For example, the lab tests taken from those patients
and other specialized treatments are stored in a way that other
departments can access this information in the future preventing
duplicate redoing labs and imaging studies (Adibuzzaman et al.,
2017). This cuts down costs while improving service delivery.
Although big data has had a tremendous impact on the
healthcare systems, it has also created some problems. Firstly,
the use of technology such as EHR has resulted in security
issues and privacy threats. According to McGonigle and
Mastrian (2017), technology has enabled the interoperability of
healthcare data. Interoperability means sharing important health
data across different organizations while ensuring it is
presented understandably to the user. Unauthorized third
parties can intersect this information and the Health Insurance
Portability and Accountability Act (HIPPA) has shown little
concern for patient data breach cases. Another problem is that
big data is not static, it requires continuous system updates to
ensure that it remains relevant and current. In some cases, few
datasets will require updates after electronic health records to
store patient/client’s personal details. Some require to be
updated after a few seconds while other information might take
some time to change. Therefore, sometimes it is hard for mental
3. health specialists to understand the volatility of big data or how
often it requires changes. Thus, this might be a challenge for
organizations that do not monitor their data assets consistently.
Several strategies can be implemented to effectively
mitigate challenges arising from the use of big data. Ensuring
that data is presented in a common manner and type will
facilitate the easy transfer of information (Dash et al., 2019).
Another strategy for solving the security risks brought by the
use of big data is data encryption to ensure information is safe
and protected from malicious people. Besides, there is needed to
upgrade healthcare systems to ensure information is shared
efficiently across authorized organizations. In summary, the
adoption of big data in healthcare has improved customer
services and ensured easy data retrieval.
References
Adibuzzaman, M., DeLaurentis, P., Hill, J. & Benneyworth, B.
(2017). Big Data in Healthcare – the Promises, Challenges and
Opportunities from a Research Perspective: A case study with a
model database.
AMIA Annual Symposium Proceedings Archive
, 2017, 384-392.
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019).
Big Data in Healthcare: Management, Analysis and Future
Prospects.
Journal of Big Data
,
6
(1), 1-25.
McGonigle, D., & Mastrian, K. (2021).
Nursing informatics and the foundation of knowledge
. Jones & Bartlett Publishers.
4. Raghupathi, W., & Raghupathi, V. (2014). Big Data Analytics
in Healthcare: Promise and Potential.
Health Information Science and Systems
,
2
(1), 1-10.
Reply 3
Elia Vazquez,
Big Data Means Big Potential, Challenges for Nurses
Big data in health encompasses a wide variety of aspects,
clinical, environmental, lifestyle information, it is biologically
diverse. These data are collected from single individuals to
large cohorts, according to their health and wellness status, all
at once or over a period of time. The availability of big data
provides an opportunity for the healthcare providers to improve
health outcomes while containing costs (McGonigle & Mastrian,
2021). Big data, helps to identify and promptly intervene on
high-risk and high cost-patients, this is achieved through
effective ways of managing the data to facilitate precise
treatment. It helps in detention of heterogeneity in patient
responses to treatments and tailoring of healthcare to the
specific needs of individuals.
Also, big data in healthcare can contribute by increasing the
effectiveness and quality of treatment by identifying early signs
and symptoms as well as disease intervention, reducing the
probability of adverse reactions. Additionally, it helps in
5. widening possibilities for prevention of diseases by
identification of risk factors for disease and improvement of
pharmacovigilance. Patient safety through the ability to make
more informed medical decisions based on directly delivered
information to the patients is another benefit (Frith & Hoy,
2017). Predictive analytics can contribute to precise public
health by improving surveillance and assessments therefore,
gathering a large amount of data, creating enough resources that
can be used in epidemiological research. The health needs of the
population, the evaluation of population-based intervention and
informed policy making are all made possible by the availability
of big data however, big data in public health faces several
challenges such as security, visualization, and a number of data
integrity concerns. Capturing data that is clean, complete,
accurate, and formatted correctly for its use in multiple systems
is also a big challenge to accomplish, mainly because of poor
Electronic Health Records, convoluted workflows, and an
incomplete understanding of why big data is important to be
captured well and can all contribute to quality issues that will
plague data through its lifecycle (Aceto, et al., 2020). The issue
of dirty data is another challenge the use of big data in the
health care sector faces. Storage of data is another challenge,
because as the volume of data grows exponentially, some
providers may find it difficult to manage the costs and impacts
of on premise data centers. Data security is another problem
that most organizations face, resulting from high breaches,
hackings and ransomware incidences making healthcare data
vulnerable to several attacks.
To minimize these challenges and risks, it is needed to put in
place several mitigations to protect this technology. The first
mitigation is the adoption of seamless and diverse health care
technologies that helps in gaining deeper insights into clinical
and organizational processes. It should also facilitate faster and
safer protection of healthcare data. Also, the technology should
create more efficiency and help improve patient flow, safety,
6. quality of care and the overall patient experience. According to
Frith & Hoy (2017), some of the organizations that have used
seamless integration in their data operations includes the South
Tyneside NHS Foundation Trust, a provider of acute and
community health services in Northeast England. Through this,
high quality, safe and compassionate care of patients at all
times has been improved at the same time enhancement of data
protection.
References
Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and
health: Internet of things, big data, and cloud computing for
healthcare 4.0.
Journal of Industrial Information Integration
,
18
, 100129.
Frith, K. H., & Hoy, H. M. (Eds.). (2017).
Applied clinical informatics for nurses
. Jones & Bartlett Learning.
McGonigle, D., & Mastrian, K. (2021).
Nursing informatics and the foundation of knowledge
. Jones & Bartlett Publishers.