The document discusses how business intelligence and big data analytics can help clinicians and hospitals. It describes how new tools like business intelligence have emerged to organize and interpret vast amounts of healthcare information to benefit public health, research, patient care, and hospital operations. Healthcare organizations are now dealing with tremendous amounts of digital data stored in large repositories. Analytics can be used to detect patterns in this large, complex data that are too subtle for humans to observe directly. This can help improve areas like decision making, research, and the development of new treatments and services.
The application of big data in health care is a fast-growing field, with many discoveries and methodologies published in the last five years. Big data refers to datasets that are not only big but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Moreover, medical data is one of the most growing data, as it is obtained from Electronic Health Records (EHRs) or patients themselves. Due to the rapid growth of such medical data, we need to provide suitable tools and techniques in order to handle and extract value and knowledge from these datasets to improve the quality of patient care and reduces healthcare costs. Furthermore, such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper presents an overview of big data content, sources, technologies, tools, and challenges in health care. It also intends to identify the strategies to overcome the challenges.
The document discusses emerging trends in eHealth, including electronic health records, big data, business intelligence, and mobile applications. It estimates that investing in eHealth in Australia could yield $5.7 billion in benefits over 10 years from time savings, reduced hospital days, and improved chronic disease management. The use of big data and analytics can help detect patterns in vast amounts of digital information from various sources to gain insights into public health, research, and patient care.
Dell Venue Pro 11 Windows 8 tablet within a Healthcare facility_Microsoft Hea...Eric Van 't Hoff
The document discusses bringing mobile devices like tablets into healthcare facilities. It describes how tablets with Windows 8 can provide caregivers access to patient information at the point of care. This allows doctors and nurses to focus on patients, improve clinical decision making, and reduce medical errors. Dell offers Windows 8 tablets like the Venue Pro 11 that are durable, secure, and manageable like other PCs. Their tablets run on Intel processors for laptop-level performance and long battery life while accessing hospital systems and apps.
By leveraging Big Data, the healthcare industry has an incredible potential to improve lives. This session will give examples of how data volume, velocity and variety is transforming the “art” of a doctor to the science of care. It will describe how the use of machine learning and massive amount of data will drive the new Consumer Drive healthcare movement.
The data explosion along the care cycle (Dell Healthcare)Eric Van 't Hoff
The data explosion along the care cycle
Healthcare data is growing exponentially due to increased digitization of patient records, medical images, lab results, and other clinical information. This data deluge is creating new challenges for healthcare organizations. Specifically:
- Clinicians are overwhelmed by the huge amount of data generated for each patient. Too much information can slow decision making.
- Growing storage in silos makes it difficult to share critical patient data across different systems, which can affect care. Storage and IT costs are rising dramatically.
- Caregivers lack resources to integrate technologies due to being overloaded by growing patient demands.
Dell aims to address these challenges by optimizing healthcare storage architectures. Dell's portfolio includes high performance
The Delivery of Web Mining in Healthcare System on Cloud ComputingIOSR Journals
This document discusses delivering web mining services in healthcare systems using cloud computing. It proposes a model where a cloud-based web server would provide various healthcare-related data and services that could be accessed anywhere, anytime through internet-connected devices. Key benefits identified include unlimited storage, lower costs, automatic software integration, backup/recovery, and increased scalability and speed compared to traditional systems. The proposed approach involves extracting data from websites, cleaning and integrating it into a database, then allowing users to access the information remotely through the cloud server. This could help with tasks like comparing product prices from different suppliers to purchase items more cost effectively.
The document discusses challenges in managing healthcare data to balance storage costs with compliance and access requirements. It notes that increased use of electronic medical records and imaging systems has led to exponential growth in healthcare data. This data must be stored and managed for long periods as required by regulations while controlling rising storage costs. The presented solution proposes implementing tiered storage with lower-cost systems to reduce storage expenses while also consolidating data management functions into a single archiving appliance to decrease management overhead and floor space usage. This integrated approach aims to help healthcare organizations meet data retention mandates cost-effectively.
Clinical Narrative And Structured Data In The Ehr Venus And Mars Live In Harm...Nick van Terheyden
For nearly two decades healthcare technology has attempted to impose new documentation methods that are more suited to database management but do not meet the needs of the busy practicing physician. Conventional wisdom is that documents are bad and discrete data is good but historically clinicians have resisted efforts to establish structured data entry methodologies trying to replace the clinician preferred method of data capture – dictation. Clinical Document Architecture for Common Document Types (CDA4CDT) offers a bridge between the two opposing worlds of clinical documentation creating semantically interoperable data while retaining the precise clinical content contained in free flowing narrative
The application of big data in health care is a fast-growing field, with many discoveries and methodologies published in the last five years. Big data refers to datasets that are not only big but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Moreover, medical data is one of the most growing data, as it is obtained from Electronic Health Records (EHRs) or patients themselves. Due to the rapid growth of such medical data, we need to provide suitable tools and techniques in order to handle and extract value and knowledge from these datasets to improve the quality of patient care and reduces healthcare costs. Furthermore, such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper presents an overview of big data content, sources, technologies, tools, and challenges in health care. It also intends to identify the strategies to overcome the challenges.
The document discusses emerging trends in eHealth, including electronic health records, big data, business intelligence, and mobile applications. It estimates that investing in eHealth in Australia could yield $5.7 billion in benefits over 10 years from time savings, reduced hospital days, and improved chronic disease management. The use of big data and analytics can help detect patterns in vast amounts of digital information from various sources to gain insights into public health, research, and patient care.
Dell Venue Pro 11 Windows 8 tablet within a Healthcare facility_Microsoft Hea...Eric Van 't Hoff
The document discusses bringing mobile devices like tablets into healthcare facilities. It describes how tablets with Windows 8 can provide caregivers access to patient information at the point of care. This allows doctors and nurses to focus on patients, improve clinical decision making, and reduce medical errors. Dell offers Windows 8 tablets like the Venue Pro 11 that are durable, secure, and manageable like other PCs. Their tablets run on Intel processors for laptop-level performance and long battery life while accessing hospital systems and apps.
By leveraging Big Data, the healthcare industry has an incredible potential to improve lives. This session will give examples of how data volume, velocity and variety is transforming the “art” of a doctor to the science of care. It will describe how the use of machine learning and massive amount of data will drive the new Consumer Drive healthcare movement.
The data explosion along the care cycle (Dell Healthcare)Eric Van 't Hoff
The data explosion along the care cycle
Healthcare data is growing exponentially due to increased digitization of patient records, medical images, lab results, and other clinical information. This data deluge is creating new challenges for healthcare organizations. Specifically:
- Clinicians are overwhelmed by the huge amount of data generated for each patient. Too much information can slow decision making.
- Growing storage in silos makes it difficult to share critical patient data across different systems, which can affect care. Storage and IT costs are rising dramatically.
- Caregivers lack resources to integrate technologies due to being overloaded by growing patient demands.
Dell aims to address these challenges by optimizing healthcare storage architectures. Dell's portfolio includes high performance
The Delivery of Web Mining in Healthcare System on Cloud ComputingIOSR Journals
This document discusses delivering web mining services in healthcare systems using cloud computing. It proposes a model where a cloud-based web server would provide various healthcare-related data and services that could be accessed anywhere, anytime through internet-connected devices. Key benefits identified include unlimited storage, lower costs, automatic software integration, backup/recovery, and increased scalability and speed compared to traditional systems. The proposed approach involves extracting data from websites, cleaning and integrating it into a database, then allowing users to access the information remotely through the cloud server. This could help with tasks like comparing product prices from different suppliers to purchase items more cost effectively.
The document discusses challenges in managing healthcare data to balance storage costs with compliance and access requirements. It notes that increased use of electronic medical records and imaging systems has led to exponential growth in healthcare data. This data must be stored and managed for long periods as required by regulations while controlling rising storage costs. The presented solution proposes implementing tiered storage with lower-cost systems to reduce storage expenses while also consolidating data management functions into a single archiving appliance to decrease management overhead and floor space usage. This integrated approach aims to help healthcare organizations meet data retention mandates cost-effectively.
Clinical Narrative And Structured Data In The Ehr Venus And Mars Live In Harm...Nick van Terheyden
For nearly two decades healthcare technology has attempted to impose new documentation methods that are more suited to database management but do not meet the needs of the busy practicing physician. Conventional wisdom is that documents are bad and discrete data is good but historically clinicians have resisted efforts to establish structured data entry methodologies trying to replace the clinician preferred method of data capture – dictation. Clinical Document Architecture for Common Document Types (CDA4CDT) offers a bridge between the two opposing worlds of clinical documentation creating semantically interoperable data while retaining the precise clinical content contained in free flowing narrative
This document discusses big data solutions for healthcare. It outlines trends driving huge increases in healthcare data from sources like medical imaging, patient monitoring, and genomics. This data holds value for personalized medicine, clinical decision support, and fraud detection. However, managing such varied and voluminous data presents challenges around volume, variety, and velocity. The document proposes methods for managing big data through distributed storage, optimization, security, and specialized platforms. Use cases are highlighted for connecting new analytics to healthcare applications and services.
Big data is impacting the healthcare industry by enhancing efficiency, increasing productivity, and helping anticipate potential issues. The document outlines how big data plays a role in healthcare through benefits like detecting illnesses early, customized treatment, and reducing waste. It also discusses challenges like privacy concerns, fragmented data from different sources, and ensuring data integrity when sharing information.
Big Data Analytics - Opportunities, Enablers, Challenges and Risks to Conside...Innovation Enterprise
The document discusses big data analytics opportunities, enablers, challenges and risks in healthcare. It provides examples of big data analytics being used successfully in healthcare settings to predict disease outbreaks, detect infections in premature babies, assist with cancer treatment selection, and predict hospital readmissions. Key enablers for big data analytics include appropriate governance, skills, and technical infrastructure. While progress has been slow, big data analytics is gaining traction in healthcare with early applications including cancer, chronic disease management, remote patient monitoring and predictive analytics.
Big data is generating a lot of hype in every industry including healthcare. As my colleagues and I talk to leaders at health systems, we’ve learned that they’re looking for answers about big data. They’ve heard that it’s something important and that they need to be thinking about it. But they don’t really know what they’re supposed to do with it.
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
Because putting patients’ needs first is essential in the healthcare industries, many healthcare systems
face health information technology (HIT) related challenges and a patient service dilemma.We will firstpresent
the patient service dilemma and provide a high-leveloverview of technologies that have increased the productivity,
efficiency in providing care, and clinical collaboration across their various healthcare campuses. Then, we will
suggest changesto current HIT practice that will enableHealth Systems to be Health Insurance Portability and
Accountability Act (HIPAA) compliant, while meeting the needs of patients, their expectations of care, and the
changing healthcare industry.
IT Governance & Management in Healthcare Organizations: Part 2 (October 19, 2...Nawanan Theera-Ampornpunt
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 19, 2020
IT Governance & Management in Healthcare Organizations: Part 1 (October 19, 2...Nawanan Theera-Ampornpunt
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 19, 2020
Big Data Analytics for Smart Health CareEshan Bhuiyan
Healthcare big data refers to the vast quantities of data that is now available to healthcare providers.
As a response to the digitization of healthcare information and the rise of value-based care, the industry has taken advantage of big data and analytics to make strategic business decisions.
This document discusses health IT in clinical settings and provides 3 key points:
1. IT implementation success depends on factors like business-IT alignment, understanding the local organizational context, and focusing on real goals rather than IT as the end goal.
2. Examples of important hospital IT systems include EHRs, CPOE, clinical decision support systems, imaging applications like PACS, and pharmacy applications. Key issues involve usability, integration, and change management.
3. While health IT and "smart" machines offer benefits, clinical judgment is still necessary given variability in patients and medicine. The goal is high quality, patient-centered care; technology should improve information and processes, not replace humans. Unint
This document discusses the use of big data analytics in healthcare and government. It describes how large amounts of heterogeneous data are generated in these sectors but remain underutilized without proper analytics. Big data analytics using Hadoop can perform meaningful real-time analysis on huge volumes of data to gain insights and predict emergency situations. Examples of big data sources and uses in healthcare include electronic health records, lab/imaging reports, and customized treatment. In government, big data can help address basic needs, improve education, and reduce unemployment. The document outlines architectures for secure big data ecosystems in these domains using tools like HDFS, MapReduce, HIVE, and AWS Lambda.
Imaging in the Cloud: A New Era for RadiologyCarestream
A look at how cloud computing is helping the medical imaging industry. The cloud is changing old mindsets, and allowing technologies, such as a vendor-neutral archive (VNA), to make health facilities more efficient and provide higher quality care.
Introduction to Health Informatics and Health IT in Clinical Settings (Part 3...Nawanan Theera-Ampornpunt
Presented at the 10th Healthcare CIO Certificate Program, Ramathibodi School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 19, 2020
This document discusses the use of future technologies by healthcare executives in the era of Industry 4.0. It begins with an introduction to healthcare information technology and data security. It then provides biographical information about the author, Dr. Nawanan Theera-Ampornpunt, including their educational background and interests. The rest of the document explores various topics related to digital health transformation, including the potential and limitations of technologies like artificial intelligence, and how to make effective use of technologies to improve healthcare quality and outcomes.
People & Organizational Issues in Health IT Implementation (February 26, 2020)Nawanan Theera-Ampornpunt
Presented at the 10th Healthcare CIO Certificate Program, Ramathibodi School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 19, 2020
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 12, 2020
The document discusses challenges facing the future of health including rising demand, chronic illness, workforce shortages, and constrained capacity within finite resources. It proposes solutions like new models of care, growing the workforce, sustainability initiatives, innovation in information technology, and focus on patient safety and prevention. The PHI Plan for Nepean campus outlines priorities like surgery, medical/aged care services, and bed capacity to guide capital works planning and service developments through 2016.
Team health presentation to advisory commmittee 9 february 2012HealthXn
This document summarizes the proceedings of a Team Health Advisory Committee meeting on improving teamwork, communication, and collaboration in healthcare. It discusses three key initiatives:
1) Transition to Work in Health program for final year students to build core skills. Pilots show promise and evaluation is ongoing.
2) Foundational Skills modules for new graduates, covering topics like handovers, escalating care, and roles. Ten topics were identified and modules are in development.
3) Building High Performing Teams program to facilitate improvement initiatives within clinical teams using a network of facilitators. A phased implementation was proposed targeting several health districts. Feedback on the plan was requested.
Although there have been enormous strides made in the area of health information technology, most developers and users feel frustrated by the pace of change. This new institute will drive Strategy, Innovation and Design for Health ICT
This document discusses big data solutions for healthcare. It outlines trends driving huge increases in healthcare data from sources like medical imaging, patient monitoring, and genomics. This data holds value for personalized medicine, clinical decision support, and fraud detection. However, managing such varied and voluminous data presents challenges around volume, variety, and velocity. The document proposes methods for managing big data through distributed storage, optimization, security, and specialized platforms. Use cases are highlighted for connecting new analytics to healthcare applications and services.
Big data is impacting the healthcare industry by enhancing efficiency, increasing productivity, and helping anticipate potential issues. The document outlines how big data plays a role in healthcare through benefits like detecting illnesses early, customized treatment, and reducing waste. It also discusses challenges like privacy concerns, fragmented data from different sources, and ensuring data integrity when sharing information.
Big Data Analytics - Opportunities, Enablers, Challenges and Risks to Conside...Innovation Enterprise
The document discusses big data analytics opportunities, enablers, challenges and risks in healthcare. It provides examples of big data analytics being used successfully in healthcare settings to predict disease outbreaks, detect infections in premature babies, assist with cancer treatment selection, and predict hospital readmissions. Key enablers for big data analytics include appropriate governance, skills, and technical infrastructure. While progress has been slow, big data analytics is gaining traction in healthcare with early applications including cancer, chronic disease management, remote patient monitoring and predictive analytics.
Big data is generating a lot of hype in every industry including healthcare. As my colleagues and I talk to leaders at health systems, we’ve learned that they’re looking for answers about big data. They’ve heard that it’s something important and that they need to be thinking about it. But they don’t really know what they’re supposed to do with it.
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
Because putting patients’ needs first is essential in the healthcare industries, many healthcare systems
face health information technology (HIT) related challenges and a patient service dilemma.We will firstpresent
the patient service dilemma and provide a high-leveloverview of technologies that have increased the productivity,
efficiency in providing care, and clinical collaboration across their various healthcare campuses. Then, we will
suggest changesto current HIT practice that will enableHealth Systems to be Health Insurance Portability and
Accountability Act (HIPAA) compliant, while meeting the needs of patients, their expectations of care, and the
changing healthcare industry.
IT Governance & Management in Healthcare Organizations: Part 2 (October 19, 2...Nawanan Theera-Ampornpunt
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 19, 2020
IT Governance & Management in Healthcare Organizations: Part 1 (October 19, 2...Nawanan Theera-Ampornpunt
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 19, 2020
Big Data Analytics for Smart Health CareEshan Bhuiyan
Healthcare big data refers to the vast quantities of data that is now available to healthcare providers.
As a response to the digitization of healthcare information and the rise of value-based care, the industry has taken advantage of big data and analytics to make strategic business decisions.
This document discusses health IT in clinical settings and provides 3 key points:
1. IT implementation success depends on factors like business-IT alignment, understanding the local organizational context, and focusing on real goals rather than IT as the end goal.
2. Examples of important hospital IT systems include EHRs, CPOE, clinical decision support systems, imaging applications like PACS, and pharmacy applications. Key issues involve usability, integration, and change management.
3. While health IT and "smart" machines offer benefits, clinical judgment is still necessary given variability in patients and medicine. The goal is high quality, patient-centered care; technology should improve information and processes, not replace humans. Unint
This document discusses the use of big data analytics in healthcare and government. It describes how large amounts of heterogeneous data are generated in these sectors but remain underutilized without proper analytics. Big data analytics using Hadoop can perform meaningful real-time analysis on huge volumes of data to gain insights and predict emergency situations. Examples of big data sources and uses in healthcare include electronic health records, lab/imaging reports, and customized treatment. In government, big data can help address basic needs, improve education, and reduce unemployment. The document outlines architectures for secure big data ecosystems in these domains using tools like HDFS, MapReduce, HIVE, and AWS Lambda.
Imaging in the Cloud: A New Era for RadiologyCarestream
A look at how cloud computing is helping the medical imaging industry. The cloud is changing old mindsets, and allowing technologies, such as a vendor-neutral archive (VNA), to make health facilities more efficient and provide higher quality care.
Introduction to Health Informatics and Health IT in Clinical Settings (Part 3...Nawanan Theera-Ampornpunt
Presented at the 10th Healthcare CIO Certificate Program, Ramathibodi School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 19, 2020
This document discusses the use of future technologies by healthcare executives in the era of Industry 4.0. It begins with an introduction to healthcare information technology and data security. It then provides biographical information about the author, Dr. Nawanan Theera-Ampornpunt, including their educational background and interests. The rest of the document explores various topics related to digital health transformation, including the potential and limitations of technologies like artificial intelligence, and how to make effective use of technologies to improve healthcare quality and outcomes.
People & Organizational Issues in Health IT Implementation (February 26, 2020)Nawanan Theera-Ampornpunt
Presented at the 10th Healthcare CIO Certificate Program, Ramathibodi School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on February 19, 2020
Presented at the Master of Science and Doctor of Philosophy Programs in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 12, 2020
The document discusses challenges facing the future of health including rising demand, chronic illness, workforce shortages, and constrained capacity within finite resources. It proposes solutions like new models of care, growing the workforce, sustainability initiatives, innovation in information technology, and focus on patient safety and prevention. The PHI Plan for Nepean campus outlines priorities like surgery, medical/aged care services, and bed capacity to guide capital works planning and service developments through 2016.
Team health presentation to advisory commmittee 9 february 2012HealthXn
This document summarizes the proceedings of a Team Health Advisory Committee meeting on improving teamwork, communication, and collaboration in healthcare. It discusses three key initiatives:
1) Transition to Work in Health program for final year students to build core skills. Pilots show promise and evaluation is ongoing.
2) Foundational Skills modules for new graduates, covering topics like handovers, escalating care, and roles. Ten topics were identified and modules are in development.
3) Building High Performing Teams program to facilitate improvement initiatives within clinical teams using a network of facilitators. A phased implementation was proposed targeting several health districts. Feedback on the plan was requested.
Although there have been enormous strides made in the area of health information technology, most developers and users feel frustrated by the pace of change. This new institute will drive Strategy, Innovation and Design for Health ICT
The document discusses challenges facing the Australian health system and proposes an approach called "I-Health" to address them. The challenges are rising demand, constrained capacity, and inadequate infrastructure investment. I-Health stands for investment in international exchange of ideas, infrastructure like connectivity between care settings and a common health operating system, innovation in health care delivery, and focusing on the individual. The goal is a holistic approach to improve the entire health system through learning from other industries and countries, modernizing infrastructure, and innovating new models of patient-centered care.
Confronting The Paradox Of Information Technology In Healthv2HealthXn
This document discusses the paradox of information revolution in health. It notes the rising demand on health systems due to aging populations and chronic illness, yet constrained capacity due to safety, workforce and cost issues. While health IT is seen as a solution, its implementation faces risks like poor connectivity, lack of standards and increased staff frustration if not done properly. The document argues we must address issues like competency, governance and workflow to successfully harness technology and overcome this paradox of having plenty yet experiencing starvation in health systems.
Iodine and the Thyroid: How the thyroid uniquely adapts to its environment to...HealthXn
This presentation describes how the thyroid actively traps iodine, a rare micronutrient, to produce thyroid hormones. Iodine is important for normal fetal and adult development.
Diabetes therapies and technology: implications for doctors and patientsHealthXn
This document summarizes a presentation on diabetes therapies and technology. The presentation discusses:
- The promise and pitfalls of emerging diabetes technologies and ensuring patient safety.
- How the roles of health professionals and patients may change with more connected health solutions and data access.
- The importance of balancing positive and negative hype around new technologies to manage patient expectations.
- Ensuring privacy and security as health data becomes more connected while still providing high-touch patient care.
Optimum Healthcare ITA physician’s perspective on Big Data, Predictive Analy...HealthXn
- Big data, predictive analytics, and business intelligence (BI) tools can help healthcare organizations address growing cost pressures and improve operational and financial efficiency. However, their benefits are often underappreciated in healthcare.
- BI can be used for both clinical and non-clinical purposes to analyze large amounts of healthcare data and gain insights. When properly implemented and governed, it allows organizations to better understand variability and optimize performance.
- The presentation will provide real-world examples of how BI is being used in healthcare to improve patient outcomes, safety, and experience as well as hospital operations and systems.
Performance Management in Health: the role of Health ITHealthXn
The document discusses using large amounts of digital health data and business intelligence tools to monitor performance at various levels - such as systems, providers, patients - to improve quality, experience, and cost effectiveness. It provides examples of monitoring emergency department performance and using public reporting to further improve healthcare systems.
Big data in the real world opportunities and challenges facing healthcare -...Leo Barella
The Healthcare system will be target of major disruption more than any other industry in the next 10 years.
The Digital economics and increasing demand by consumers for more real time information in order to make better decisions on who they want to "hire" to perform services for them or in their behalf will be the driver of this disruption. Analytics, Big Data and Machine Learning will lay the foundation for the next generation of healthcare yet there are still many challenges to truly revolutionize the healthcare system end to end (Providers, Pharma, Payers)
Big Data and Business Intelligence in HealthHealthXn
The document discusses how big data and business intelligence (BI) tools can unlock the potential of big data in healthcare. It notes that big data refers to large amounts of digital information stored in unstructured data repositories. New BI tools can organize and interpret this vast data, providing benefits for public health, research, patient care, and hospital operations. The author argues that properly utilizing big data through BI could reduce US healthcare expenditures by 8% and save governments over $100 billion annually in operational efficiencies.
The document discusses how big data and analytics are being used in healthcare to improve outcomes. It provides examples of how the State University of New York used big data to study multiple sclerosis, how a university in Ontario used it to improve neonatal care, and how a European network used it to predict HIV treatment responses. The document also introduces IBM Watson and cognitive computing as a way to help physicians and patients through natural language processing and learning from interactions.
The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...Health Catalyst
Just over three years ago, Health Catalyst publicly announced the development of the Data Operating System (DOSTM). Conceptually, DOS goes back more than 20 years as a single platform that could support what Dale Sanders calls the “Three Missions of Data”—analytics, data-first application development, and interoperability.
“Data platforms are the next evolution of the technology stack,” Sanders says. While the Cloud made infrastructure an easy and scalable platform, modern operating systems and programming languages made software platforms scalable and easy to build. He cautions, however, “Data wrangling, especially in healthcare, is still a giant challenge.” Sanders explains that DOS is therefore an essential strategy for Health Catalyst, as well as an important new concept in the world of platforms.
“DOS and its concept is a data platform that makes analytics, app development, and interoperability easy and scalable,” Sanders says.
In this webinar, Sanders and Bryan Hinton will review the concept of a data operating system and the vision behind it. Hinton, who leads the DOS team for Health Catalyst, will reflect on lessons learned over the past three years and what he has planned for the future.
This document discusses visual data mining and analytical processing of large amounts of data. It explores how interactive database systems integrate various forms of data to make them accessible. Data mining involves applying algorithms to detect patterns and extract knowledge from data. Online analytical processing (OLAP) performs multidimensional analysis of data to provide calculations, trend analysis, and modeling. Visualizing eye movement data can provide insights into cognitive processes. Data mining benefits many professions by facilitating decision-making through analysis of large datasets.
The document discusses clinical data mining and data warehousing. It begins by introducing clinical data mining as a process to analyze and interpret available clinical data for decision making and knowledge building. It then describes approaches to clinical data mining including data collection, pre-processing, parsing, and applying knowledge to create new databases and queries. The document also discusses online clinical data mining tools, advantages of data warehousing, challenges of clinical data warehousing, and applications of data mining such as creating electronic patient files and improving healthcare quality.
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
An Adaptive Technique in Electronic Health Record for Clinical Decision Makin...ijtsrd
Cloud computing is a collection of several computer resources that consists of both software and hardware. It is a type of service that is delivered over the internet and can be accessible from anywhere. 1 The data and services can be accessed through the internet. 4 These services are managed by the third party over the internet. They eventually provide access to the servers and resources. Health records consist of patient’s data regarding health. This data is usable by both the hospitals and patients. 6 8 This can be eventually used to track the medical history of patients. Data Visualization is a graphical depiction of the data. It implicates producing images that advertise the link among the data that the users view. Hence, they are used for clinical decision making. In this paper we will be discussing how cloud can be used to maintain health records electronically. Meghana Prakash | Vignesh S "An Adaptive Technique in Electronic Health Record for Clinical Decision Making Based on Data Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30699.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30699/an-adaptive-technique-in-electronic-health-record-for-clinical-decision-making-based-on-data-visualization/meghana-prakash
Adam Chee - The Role of Big Data, BCM & Cloud in HealthcareHoi Lan Leong
Big data, cloud computing, and business continuity management (BCM) can help transform healthcare by enabling predictive analytics, maximizing asset utilization, and providing a foundation of availability. Healthcare data exists across the continuum of care but often in silos without interoperability. Cloud computing can help resolve physical interoperability issues, while standards help with syntactic interoperability. BCM is important for healthcare to ensure critical functions remain available. The role of these technologies is to revolutionize healthcare through increased efficiencies, better outcomes, and more personalized care.
2016 IBM Interconnect - medical devices transformationElizabeth Koumpan
Emerging technologies such as Internet of Things, 3D Printing are driving the creation of new business models and forcing the Industry for transformation. The product centric model where the Industry main objective was to develop the device, is moving to software and services model, with the focus on Big Data & Analytics, Integration and Cloud.
The maturation of technologies such as social, mobile, analytics, cloud, 3D printing, bio- and nanotechnology are rapidly shifting the competitive landscape. These emerging technologies create an environment that is connected and open, simple and intelligent, fast and scalable. Organizations must embrace disruptive technologies to drive innovation
This document discusses how big data and analytics can help address the COVID-19 pandemic. It begins by defining big data and describing its key characteristics of volume, velocity, and variety. It then discusses how the pandemic has led to a large volume of health data and different data types. The document proposes a framework for collecting, analyzing and applying this data through descriptive, diagnostic, predictive and prescriptive analytics. This framework could help with tasks like epidemic monitoring, early warning, tracing virus sources, and recommending best courses of action. In closing, the document lists several references on big data applications for public health surveillance, resource allocation, and investigating COVID-19 symptoms.
The document discusses the increasing adoption of cloud computing in the healthcare industry globally and in India. It provides an overview of the three waves of IT adoption in healthcare since the 1950s. Healthcare organizations are now shifting to cloud-based platforms to improve information sharing and make IT resources more cost-effective. The case study of Nova Medical Center shows how a large healthcare provider in India has benefited from adopting cloud computing, such as reducing costs by 20-25% while expanding its services. Cloud computing can provide benefits to the healthcare industry like lower costs, faster innovation, expertise in IT resources, improved compliance and security, and better disaster recovery and mobility. However, security concerns remain a challenge for healthcare organizations in India adopting cloud solutions.
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...Paula Koziol
Medical data is exploding. The internet of things is changing how we work and live. The healthcare industry is responding and transforming. In this cognitive and cloud era, IBM is positioned to help healthcare organizations of all sizes transform, thrive and deliver better outcomes. Learn about IBM's cognitive healthcare platform for infrastructure and how it delivers a scalable, secure hybrid cloud for GE Healthcare applications and cloud ecosystems. Review of case studies demonstrate the resiliency, flexibility and cost savings achieved while managing the velocity of enterprise imaging and healthcare data.
Effective utilisation and allocation of health resources across the Midlands region in New Zealand. Presented by Samuel Mackenzie & Brent Harvey, HealthShare, at HINZ 2014, 12 November 2014, 11.37am, Marlborough Room
Data-driven Healthcare for ManufacturersLindaWatson19
Medical Device Equipment and Hospital Supplies Manufacturers also face increased pressure to comply with strict regulatory procedures to ensure patient safety. Product transparency and efficient end-to-end processes that optimize the manufacturing process and decision making are very important.
Data-Driven Healthcare for Manufacturers Amit Mishra
Data-driven healthcare empowers the providers with a common data platform to discover untapped data-driven opportunities. Healthcare data and its impact on the patient care decision process via accurate, real-time, reliable data from disparate sources is creating a digital health revolution. Physician groups, nursing facilities, hospitals, pharmaceutical companies, clinical researchers, and medical equipment manufacturers are all churning out vast amounts of data during their daily operations. This data has tremendous value and can revolutionize patient care, diagnosis, real-time decisions and help deliver new, unimagined innovations with quality of patient care. Know more about data-driven healthcare at https://www.solix.com/solutions/data-driven-solutions/healthcare/
The future interface of mental health with information technology: high touch...HealthXn
The document discusses the future of mental health and technology, including:
- Technology may help address challenges in healthcare systems but also presents pitfalls if not implemented carefully.
- The roles of health professionals and patients may change as technology becomes more integrated in care, requiring new skills.
- Data and information from various sources can provide insights if analyzed properly, but also raise privacy and security concerns.
- Future health systems will rely more on knowledge management and using data/analytics to provide personalized, predictive care while maintaining the human touch.
Preventing diabetes and obesity in mental health disordersHealthXn
This document summarizes a presentation on preventing diabetes and obesity in patients with mental health issues. It discusses how mental health disorders are associated with higher risks of diabetes and metabolic syndrome due to genetic and lifestyle factors as well as some medications used to treat mental health conditions. Treatment of diabetes and other vascular risk factors is essential for patients with mental health issues since premature death is often due to cardiovascular disease rather than suicide. The presentation emphasizes preventing and early identification of diabetes and metabolic syndrome through lifestyle counseling, monitoring weight and metabolic markers, and treating obesity and diabetes when present.
How to prevent Deep Vein Thrombosis when travellingHealthXn
This document provides information and advice on preventing deep vein thrombosis (DVT) during travel. It explains that sitting for long periods of time, such as during flights or car rides, increases the risk of DVT due to limited blood flow. It recommends taking regular breaks to walk around and do leg exercises, staying hydrated, wearing compression stockings, avoiding sleeping pills and alcohol, and discussing aspirin with a doctor for high-risk individuals. Specific exercises are demonstrated to perform during travel to keep blood circulating in the legs and reduce DVT risk.
This presentation given to the International Society for Enzymology in Corfu details the extent of vitamin D deficiency in the largest state of Australia, NSW. It highlights the over=testing phenomenon that has occurred and how to correct the problem.
The value of health information systems and EMR to patient careHealthXn
This presentation given to the Athena Society in Crete documents the challenges and benefits of health information systems and the difficulties encountered in implementing EMR.
Advances in the diagnosis and treatment for benign and malignant thyroid diseaseHealthXn
Thyroid disorders are common. This presentation reviews the causes of benign thyroid disease as well as therapy, including new therapies for advanced thyroid cancer.
Bridging health care’s innovation education gapHealthXn
Recently I was privileged to be part of a consultation bringing together CEOS in health, academia and business to examine health care's innovation education. Regina Herzlinger and co authors have distilled these consultations into this thought provoking article.
https://hbr.org/2014/11/bridging-health-cares-innovation-education-gap
Prevention against micronutrient malnutritionHealthXn
Micronutrident disorders are common and a major cause of morbidity in all populations. In this presentation we discuss the importance of iodine, folic acid and vitamin D deficiency. Prevention is the solution
To D or not to D that is the question? Vitamin D deficiency in AustraliaHealthXn
This document summarizes the results of a study investigating vitamin D status in over 24,000 individuals in New South Wales, Australia. The study found:
1) Over 40% of participants had insufficient or deficient vitamin D levels, with the highest rates in spring.
2) Younger women, inpatients, and those in major cities or of lower socioeconomic status were most at risk of deficiency.
3) Factors like being male, living rurally, and higher SES were protective against deficiency.
4) Season, gender, age, location, and SES explained over 30% of the variability in vitamin D levels.
The impact of maternal and fetal thyroid hormone deficiency: iodine deficienc...HealthXn
Thyroid hormone deficiency at critical periods of brain development may cause permanent mental and neurological disability and impairment. Iodine deficiency is the commonest preventable cause of mental disability
Recent advances in the diagnosis and treatment of thyroid cancerHealthXn
This document summarizes recent advances in the diagnosis and treatment of thyroid cancer by Professor Steven Boyages. It discusses the rising incidence of thyroid cancer in recent decades, which may be due to increased medical surveillance and technology. It describes a study that examined pathways to diagnosis for thyroid cancer patients in New South Wales, finding most were serendipitous discoveries. Factors like tumor size influenced diagnosis pathways. Minimally invasive thyroidectomy techniques and strategies for radioiodine ablation in low-risk thyroid cancer, including using recombinant human thyrotropin and lower radiation doses, are also summarized. Treatment of radioiodine-resistant thyroid cancer is an ongoing challenge.
Value creation in health:investing in people and processHealthXn
This document discusses PulseLearning, a company that provides learning solutions to healthcare clients. It introduces PulseLearning's background, vision, and mission to be a leader in providing healthcare knowledge solutions and improving health outcomes in Australia. The document outlines PulseLearning's value proposition and testimonials from healthcare clients that chose PulseLearning for its understanding of the healthcare sector and ability to deliver accredited training. It also discusses challenges facing the healthcare industry like rising costs, changing patient expectations, and skills gaps. PulseLearning proposes investing in people, processes, and advanced learning technologies to address these challenges and improve teamwork, communication, and patient-centered care.
Bottom up approach required for the adoption ofHealthXn
This document discusses key factors for the adoption of electronic health records (EHR) by patients, including needs, benefits, risks, elements of trust, and the approach required. For adoption to be effective, a bottom-up approach is needed that considers patients' needs, the benefits of improved care and outcomes, risks to privacy and safety, and building trust through design, credibility, security, privacy and ease of use of the EHR system.
The big data challenge in healthcare and how can business intelligence best d...HealthXn
This document discusses how big data and business intelligence can help drive critical decision making in healthcare. It notes that big data describes the vast amounts of digital information now stored, and tools like business intelligence can organize and interpret this data to benefit public health, research, patient care, and hospital operations. Business intelligence systems allow leveraging of existing systems, integrating patient and performance data, and providing real-time, predictive and flexible insights. Data from sources like social media, Google trends and analytics can provide information on topics like predicting personality, eating habits, breakups, and flu trends. The document also discusses using data and business intelligence at different layers from the clinical to enterprise level to provide insights and support functions like patient safety, decision making,
The document discusses several apps for health-related purposes including food/weight loss, allergies, fitness, sleep/pulse monitoring, and menstrual cycle tracking. It then summarizes an initiative in New South Wales called "Apps for NSW - Collaborative Solutions for Health" which aims to combine open government data initiatives and business collaboration programs to develop commercially viable mobile health apps. It provides an overview of four challenges that were run under this initiative, with the winning and highly commended apps for areas like medication management, hospital services, and healthcare cycles of care.
4th annual innovation healthcare asia summit panel discussionHealthXn
This document discusses key topics in digital health including mobility systems, virtualization, cloud computing, apps for health, social media, big data systems and analytics, care communication collaboration and coordination, clinical care models, health services, knowledge-based aspects of health, and the role of technology in healthcare. It also examines questions around the changing role of doctors in the digital age, ensuring safety and security of technology, and managing risks associated with digital health.
Industry collaboration a must for commercial survival finalHealthXn
This is a presentation given to the AIIA highlighting why health ICT appears to constantly disappoint. Its theme is the need for a service aggregator at the level of service delivery to drive the implementation of an ehealth strategy.
Giloy in Ayurveda - Classical Categorization and SynonymsPlanet Ayurveda
Giloy, also known as Guduchi or Amrita in classical Ayurvedic texts, is a revered herb renowned for its myriad health benefits. It is categorized as a Rasayana, meaning it has rejuvenating properties that enhance vitality and longevity. Giloy is celebrated for its ability to boost the immune system, detoxify the body, and promote overall wellness. Its anti-inflammatory, antipyretic, and antioxidant properties make it a staple in managing conditions like fever, diabetes, and stress. The versatility and efficacy of Giloy in supporting health naturally highlight its importance in Ayurveda. At Planet Ayurveda, we provide a comprehensive range of health services and 100% herbal supplements that harness the power of natural ingredients like Giloy. Our products are globally available and affordable, ensuring that everyone can benefit from the ancient wisdom of Ayurveda. If you or your loved ones are dealing with health issues, contact Planet Ayurveda at 01725214040 to book an online video consultation with our professional doctors. Let us help you achieve optimal health and wellness naturally.
The skin is the largest organ and its health plays a vital role among the other sense organs. The skin concerns like acne breakout, psoriasis, or anything similar along the lines, finding a qualified and experienced dermatologist becomes paramount.
Are you looking for a long-lasting solution to your missing tooth?
Dental implants are the most common type of method for replacing the missing tooth. Unlike dentures or bridges, implants are surgically placed in the jawbone. In layman’s terms, a dental implant is similar to the natural root of the tooth. It offers a stable foundation for the artificial tooth giving it the look, feel, and function similar to the natural tooth.
Summer is a time for fun in the sun, but the heat and humidity can also wreak havoc on your skin. From itchy rashes to unwanted pigmentation, several skin conditions become more prevalent during these warmer months.
- Video recording of this lecture in English language: https://youtu.be/Pt1nA32sdHQ
- Video recording of this lecture in Arabic language: https://youtu.be/uFdc9F0rlP0
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Nano-gold for Cancer Therapy chemistry investigatory projectSIVAVINAYAKPK
chemistry investigatory project
The development of nanogold-based cancer therapy could revolutionize oncology by providing a more targeted, less invasive treatment option. This project contributes to the growing body of research aimed at harnessing nanotechnology for medical applications, paving the way for future clinical trials and potential commercial applications.
Cancer remains one of the leading causes of death worldwide, prompting the need for innovative treatment methods. Nanotechnology offers promising new approaches, including the use of gold nanoparticles (nanogold) for targeted cancer therapy. Nanogold particles possess unique physical and chemical properties that make them suitable for drug delivery, imaging, and photothermal therapy.
5-hydroxytryptamine or 5-HT or Serotonin is a neurotransmitter that serves a range of roles in the human body. It is sometimes referred to as the happy chemical since it promotes overall well-being and happiness.
It is mostly found in the brain, intestines, and blood platelets.
5-HT is utilised to transport messages between nerve cells, is known to be involved in smooth muscle contraction, and adds to overall well-being and pleasure, among other benefits. 5-HT regulates the body's sleep-wake cycles and internal clock by acting as a precursor to melatonin.
It is hypothesised to regulate hunger, emotions, motor, cognitive, and autonomic processes.
Pharmacology of 5-hydroxytryptamine and Antagonist
Himss singapore 2012 clinician it leadership 2012[1]
1. BUSINESS INTELLIGENCE FOR CLINICIANS AND
HOSPITALS IN HEALTHCARE IT IMPLEMENTATION
PROFESSOR STEVEN BOYAGES
17TH SEPTEMBER 2012
MARINA BAY SANDS, SINGAPORE
29. The Next Level:
Health Intelligence Systems
• Definition Capability
Patient Care
Responsive Safety
Agile Decision support
Available Outcomes Research
Patient Logistics
Flexible Performance Management
Timely State
Real time Area based
Near Real time Hospital/cluster/network
Modality (scheduling)
Bedside
29
30. Mix of Patient & Performance Management tools to support patient care / flow
The Next Level:
Health Intelligence Systems
(a) Patient Care (b) Performance Mgmt
• Bed Board (including LOS • CareFirst meetings run 3 times per week with
enhancements) all senior clinical management
• Ward Activity and Nursing Display • Uses up to date (near real time information)
(WAND) through CareFirst Dashboard – which
• eConsults includes:
• iHandover • Subject Area Dashboards (Patient Safety,
• Transport booking Mental Health, Surgery, Nursing, Costing,
• Infectious Diseases Alerts ED etc.)
• Pharmtrack • Links to hundreds of pre-populated
Business Objects Reports (no
performance issues)
30
31. Bed Board
Web Based
Delivered by legacy PAS
Real Time
Predictive
ED performance
Network performance eg
cardiology
Load Management
Patient Placement
Length of Stay Features
31
41. Business Intelligence and Big Data
• Nearly every transaction or interaction leaves a data signature
• Someone somewhere is capturing and storing
• Sheer scale has far exceeded human sense-making capabilities
• At these scales patterns are often too subtle and relationships
too complex or multi dimensional to observe by simply looking
at the data.
• Data mining is a means of automating the process to detect
interpretable patterns.
• It helps us see the forest without getting lost in the trees.