This document summarizes a presentation on nursing informatics. It is split into sections created by 4 team members: Amanda, Tish, Amber, and Cindi. The sections discuss clinical information systems, their benefits and key players, components of electronic health records, clinical decision support systems, incorporating evidence-based practice, and costs, safety, education, and references related to implementing electronic health records.
Assessing Effectiveness of Information Presentation Using Wearable Augmented ...CSCJournals
Technological intervention that supports data transfer of sending summary of the patient vitals through the transfer of care would be a great benefit to the trauma care department. This paperfocuses on presenting the effectiveness of information presentation on using wearable augmented reality devices to improve human decision making during transfer of care for surgicaltrauma, and to improve user experience and reduce cognitive workload. The results of this experiment can make significant contributions to design guidelines for information presentation on small form factors especially in time critical decision-making scenarios.This could potentially help medical responders in the trauma care center to prepare for treatment materials such asmedicines, diagnostic procedures, bringing in specialized doctors or consulting the advice of experienced doctors and calling in support staff as required, and so on.
Our Southwest Baptist BSN nursing course assigned this project. This project covers modern Computer Information Systems that are specially designed for healthcare. The purpose of the project is to promote a knowledgable selection
Assessing Effectiveness of Information Presentation Using Wearable Augmented ...CSCJournals
Technological intervention that supports data transfer of sending summary of the patient vitals through the transfer of care would be a great benefit to the trauma care department. This paperfocuses on presenting the effectiveness of information presentation on using wearable augmented reality devices to improve human decision making during transfer of care for surgicaltrauma, and to improve user experience and reduce cognitive workload. The results of this experiment can make significant contributions to design guidelines for information presentation on small form factors especially in time critical decision-making scenarios.This could potentially help medical responders in the trauma care center to prepare for treatment materials such asmedicines, diagnostic procedures, bringing in specialized doctors or consulting the advice of experienced doctors and calling in support staff as required, and so on.
Our Southwest Baptist BSN nursing course assigned this project. This project covers modern Computer Information Systems that are specially designed for healthcare. The purpose of the project is to promote a knowledgable selection
The Institute of Medicine’s 1999 report, To Err is Human, set
a goal to help remedy a healthcare system compromised
by preventable patient errors. One of their major
recommendations to reduce medical error frequency
encouraged the use of medical informatics and electronic
record systems (Kohn LT, 2000). Bates and Gawande stated,
“If medicine is to achieve major gains in quality, it must be
transformed, and information technology will play a key part,
especially with respect to safety” (Bates, 2003). The American
College of Obstetricians and Gynecologists’ continuing
commitment to patient safety led them to classify seven
objectives in 2003 (updated in 2009), two of which focused
on improving communication between medical staff and
patients including incorporation of technological solutions
(American College of, 2003; American College of, 2009).
Accessing Information of Emergency Medical Services through Internet of ThingsIJARIIT
IoT is the advanced technology which is use in daily life. IoT make easy to connect different smart devices with
each other by using the internet. IOT is given the ability to computer system to run application program from different
vendors. So in this paper we are accessing the data based on IoT technology for emergency medical services. The fast
development of Internet of Thing.
Dynamic Rule Base Construction and Maintenance Scheme for Disease Predictionijsrd.com
Business and healthcare application are tuned to automatically detect and react events generated from local are remote sources. Event detection refers to an action taken to an activity. The association rule mining techniques are used to detect activities from data sets. Events are divided into 2 types' external event and internal event. External events are generated under the remote machines and deliver data across distributed systems. Internal events are delivered and derived by the system itself. The gap between the actual event and event notification should be minimized. Event derivation should also scale for a large number of complex rules. Attacks and its severity are identified from event derivation systems. Transactional databases and external data sources are used in the event detection process. The new event discovery process is designed to support uncertain data environment. Uncertain derivation of events is performed on uncertain data values. Relevance estimation is a more challenging task under uncertain event analysis. Selectability and sampling mechanism are used to improve the derivation accuracy. Selectability filters events that are irrelevant to derivation by some rules. Selectability algorithm is applied to extract new event derivation. A Bayesian network representation is used to derive new events given the arrival of an uncertain event and to compute its probability. A sampling algorithm is used for efficient approximation of new event derivation. Medical decision support system is designed with event detection model. The system adopts the new rule mapping mechanism for the disease analysis. The rule base construction and maintenance operations are handled by the system. Rule probability estimation is carried out using the Apriori algorithm. The rule derivation process is optimized for domain specific model.
APPLYING THE HEALTH BELIEF MODEL TO CARDIAC IMPLANTED MEDICAL DEVICE PATIENTSIJNSA Journal
Wireless Implanted Medical Devices (WIMD) are helping millions of users experience a better quality of life. Because of their many benefits, these devices are experiencing dramatic growth in usage, application, and complexity. However, this rapid growth has precipitated an equally rapid growth of cybersecurity risks and threats. While it is apparent from the literature WIMD cybersecurity is a shared responsibility among manufacturers, healthcare providers, and patients; what explained what role patients should play in WIMD cybersecurity and how patients should be empowered to assume this role. The health belief model (HBM) was applied as the theoretical framework for a multiple case study which examined the question: How are the cybersecurity risks and threats related to wireless implanted medical devices being communicated to patients who have or will have these devices implanted in their bodies? The subjects of this multiple case study were sixteen cardiac device specialists in the U.S., each possessing at least one year of experience working directly with cardiac implanted medical device (CIMD) patients, who actively used cardiac device home monitoring systems. The HBM provides a systematic framework suitable for the proposed research. Because of its six-decade history of validity and its extraordinary versatility, the health belief model, more efficiently than any other model considered, provides a context for understanding and interpreting the results of this study. Thus, the theoretical contribution of this research is to apply the HBM in a setting where it has never been applied before, WIMD patient cybersecurity awareness. This analysis (using a multiple case study) will demonstrate how the HBM can assist the health practitioners, regulators, manufacturers, security practitioners, and the research community in better understanding the factors, which support WIMD patient cybersecurity awareness and subsequent adherence to cybersecurity best practices.
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
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
EXPLORING CHALLENGES AND OPPORTUNITIES IN CYBERSECURITY RISK AND THREAT COMMU...IJNSA Journal
As device interconnectivity and ubiquitous computing continues to proliferate healthcare, the Medical Internet of Things (MIoT), also well known as the, Internet of Medical Things (IoMT) or the Internet of Healthcare Things (IoHT), is certain to play a major role in the health, and well-being of billions of people across the globe. When it comes to issues of cybersecurity risks and threats connected to the IoT in all of its various flavors the emphasis has been on technical challenges and technical solution. However, especially in the area of healthcare, there is another substantial and potentially grave challenge. It is the challenge of thoroughly and accurately communicating the nature and extent of cybersecurity risks and threats to patients who are reliant upon these interconnected healthcare technologies to improve and even preserve their lives. This case study was conducted to assess the scope and depth of cybersecurity risk and threat communications delivered to an extremely vulnerable patient population, semi-structured interviews were held with cardiac medical device specialists across the United States. This research contributes to scientific data in the field of healthcare cybersecurity and assists scholars and practitioners in advancing education and research in the field of MIoT patient communications
Cucumber disease recognition using machine learning and transfer learningriyaniaes
Cucumber is grown, as a cash crop besides it is one of the main and popular vegetables in Bangladesh. As Bangladesh's economy is largely dependent on the agricultural sector, cucumber farming could make economic and productivity growth more sustainable. But many diseases diminish the situation of cucumber. Early detection of disease can help to stop disease from spreading to other healthy plants and also accurate identifying the disease will help to reduce crop losses through specific treatments. In this paper, we have presented two approaches namely traditional machine learning (ML) and CNN-based transfer learning. Then we have compared the performance of the applied techniques to find out the most appropriate techniques for recognizing cucumber diseases. In our ML approach, the system involves five steps. After collecting the image, pre-processing is done by resizing, filtering, and contrast-enhancing. Then we have compared various ML algorithms using k-means based image segmentation after extracted 10 relevant features. Random forest gives the best accuracy with 89.93% in the traditional ML approach. We also studied and applied CNN-based transfer learning to investigate the further improvement of recognition performance. Lastly, a comparison among various transfer learning models such as InceptionV3, MobileNetV2, and VGG16 has been performed. Between these two approaches, MobileNetV2 achieves the highest accuracy with 93.23%.
Dr. Mark Davies (Director of Clinical and Public Assurance - The Health and Social Care Information Centre) discusses how data plays a fundamental role in driving better care, better services and better outcomes for patients: presented at Pharma Times.
The Institute of Medicine’s 1999 report, To Err is Human, set
a goal to help remedy a healthcare system compromised
by preventable patient errors. One of their major
recommendations to reduce medical error frequency
encouraged the use of medical informatics and electronic
record systems (Kohn LT, 2000). Bates and Gawande stated,
“If medicine is to achieve major gains in quality, it must be
transformed, and information technology will play a key part,
especially with respect to safety” (Bates, 2003). The American
College of Obstetricians and Gynecologists’ continuing
commitment to patient safety led them to classify seven
objectives in 2003 (updated in 2009), two of which focused
on improving communication between medical staff and
patients including incorporation of technological solutions
(American College of, 2003; American College of, 2009).
Accessing Information of Emergency Medical Services through Internet of ThingsIJARIIT
IoT is the advanced technology which is use in daily life. IoT make easy to connect different smart devices with
each other by using the internet. IOT is given the ability to computer system to run application program from different
vendors. So in this paper we are accessing the data based on IoT technology for emergency medical services. The fast
development of Internet of Thing.
Dynamic Rule Base Construction and Maintenance Scheme for Disease Predictionijsrd.com
Business and healthcare application are tuned to automatically detect and react events generated from local are remote sources. Event detection refers to an action taken to an activity. The association rule mining techniques are used to detect activities from data sets. Events are divided into 2 types' external event and internal event. External events are generated under the remote machines and deliver data across distributed systems. Internal events are delivered and derived by the system itself. The gap between the actual event and event notification should be minimized. Event derivation should also scale for a large number of complex rules. Attacks and its severity are identified from event derivation systems. Transactional databases and external data sources are used in the event detection process. The new event discovery process is designed to support uncertain data environment. Uncertain derivation of events is performed on uncertain data values. Relevance estimation is a more challenging task under uncertain event analysis. Selectability and sampling mechanism are used to improve the derivation accuracy. Selectability filters events that are irrelevant to derivation by some rules. Selectability algorithm is applied to extract new event derivation. A Bayesian network representation is used to derive new events given the arrival of an uncertain event and to compute its probability. A sampling algorithm is used for efficient approximation of new event derivation. Medical decision support system is designed with event detection model. The system adopts the new rule mapping mechanism for the disease analysis. The rule base construction and maintenance operations are handled by the system. Rule probability estimation is carried out using the Apriori algorithm. The rule derivation process is optimized for domain specific model.
APPLYING THE HEALTH BELIEF MODEL TO CARDIAC IMPLANTED MEDICAL DEVICE PATIENTSIJNSA Journal
Wireless Implanted Medical Devices (WIMD) are helping millions of users experience a better quality of life. Because of their many benefits, these devices are experiencing dramatic growth in usage, application, and complexity. However, this rapid growth has precipitated an equally rapid growth of cybersecurity risks and threats. While it is apparent from the literature WIMD cybersecurity is a shared responsibility among manufacturers, healthcare providers, and patients; what explained what role patients should play in WIMD cybersecurity and how patients should be empowered to assume this role. The health belief model (HBM) was applied as the theoretical framework for a multiple case study which examined the question: How are the cybersecurity risks and threats related to wireless implanted medical devices being communicated to patients who have or will have these devices implanted in their bodies? The subjects of this multiple case study were sixteen cardiac device specialists in the U.S., each possessing at least one year of experience working directly with cardiac implanted medical device (CIMD) patients, who actively used cardiac device home monitoring systems. The HBM provides a systematic framework suitable for the proposed research. Because of its six-decade history of validity and its extraordinary versatility, the health belief model, more efficiently than any other model considered, provides a context for understanding and interpreting the results of this study. Thus, the theoretical contribution of this research is to apply the HBM in a setting where it has never been applied before, WIMD patient cybersecurity awareness. This analysis (using a multiple case study) will demonstrate how the HBM can assist the health practitioners, regulators, manufacturers, security practitioners, and the research community in better understanding the factors, which support WIMD patient cybersecurity awareness and subsequent adherence to cybersecurity best practices.
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
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
EXPLORING CHALLENGES AND OPPORTUNITIES IN CYBERSECURITY RISK AND THREAT COMMU...IJNSA Journal
As device interconnectivity and ubiquitous computing continues to proliferate healthcare, the Medical Internet of Things (MIoT), also well known as the, Internet of Medical Things (IoMT) or the Internet of Healthcare Things (IoHT), is certain to play a major role in the health, and well-being of billions of people across the globe. When it comes to issues of cybersecurity risks and threats connected to the IoT in all of its various flavors the emphasis has been on technical challenges and technical solution. However, especially in the area of healthcare, there is another substantial and potentially grave challenge. It is the challenge of thoroughly and accurately communicating the nature and extent of cybersecurity risks and threats to patients who are reliant upon these interconnected healthcare technologies to improve and even preserve their lives. This case study was conducted to assess the scope and depth of cybersecurity risk and threat communications delivered to an extremely vulnerable patient population, semi-structured interviews were held with cardiac medical device specialists across the United States. This research contributes to scientific data in the field of healthcare cybersecurity and assists scholars and practitioners in advancing education and research in the field of MIoT patient communications
Cucumber disease recognition using machine learning and transfer learningriyaniaes
Cucumber is grown, as a cash crop besides it is one of the main and popular vegetables in Bangladesh. As Bangladesh's economy is largely dependent on the agricultural sector, cucumber farming could make economic and productivity growth more sustainable. But many diseases diminish the situation of cucumber. Early detection of disease can help to stop disease from spreading to other healthy plants and also accurate identifying the disease will help to reduce crop losses through specific treatments. In this paper, we have presented two approaches namely traditional machine learning (ML) and CNN-based transfer learning. Then we have compared the performance of the applied techniques to find out the most appropriate techniques for recognizing cucumber diseases. In our ML approach, the system involves five steps. After collecting the image, pre-processing is done by resizing, filtering, and contrast-enhancing. Then we have compared various ML algorithms using k-means based image segmentation after extracted 10 relevant features. Random forest gives the best accuracy with 89.93% in the traditional ML approach. We also studied and applied CNN-based transfer learning to investigate the further improvement of recognition performance. Lastly, a comparison among various transfer learning models such as InceptionV3, MobileNetV2, and VGG16 has been performed. Between these two approaches, MobileNetV2 achieves the highest accuracy with 93.23%.
Dr. Mark Davies (Director of Clinical and Public Assurance - The Health and Social Care Information Centre) discusses how data plays a fundamental role in driving better care, better services and better outcomes for patients: presented at Pharma Times.
Running head EFFECTIVENESS OF HEALTH CARE IT SYSTEMS 1EFFE.docxsusanschei
Running head: EFFECTIVENESS OF HEALTH CARE IT SYSTEMS 1
EFFECTIVENESS OF HEALTH CARE IT SYSTEMS 9
Effectiveness of Health Care IT Systems
Annie M Beal
Strayer University
08/24/2018
Effectiveness of Health Care IT Systems
Information technology has transformed almost all the sectors, and health care is a sector where technology has worked to improve efficiency and productivity. The quality of services offered to patients and the ease of storing and retrieving patient information. Information technology has further enhanced the security of information with data encryption. Despite these huge benefits of IT in technology, officers within the health system have a huge role in ensuring that healthcare IT system is efficient.
Question 1
The chief information officer and the chief technology officer are two roles that are related but important within the healthcare setting. The CIO is responsible for developing and advancing technology use in healthcare facilities. The CIO has to involve all health officers with the use of IT systems to improve the quality of services. CIOs work by identifying critical areas and creating roles for healthcare personnel. The CTO on the other monitors the development of technologies in the market and identify those that can be useful in health care (Sultz & Young, 2013). The person in charge is more knowledgeable on technology issues as they evaluate and determine technologies that can better healthcare provision. Together with the CIO, the CTO can help in the evaluation of technologies to determine if they will offer value for investment before advising the management on the right path to pursue.
The CIO and CTO have expert knowledge of IT infrastructure and are therefore better placed in helping staff in enhancing patient satisfaction. The two identify training needs for all the staff that ensure that the staff understands how to use IT systems. They can additionally provide real-time help to clients using the web portal of the hospital (Kellermann & Jones, 2013). They can additionally come up with real-time phone calls whenever staff and patients need help. The main role in which the two is to improve communication with the staff so that IT infrastructure can be fully utilized.
Question 2
Several technologies have come up with the goal of lowering costs and improving the quality of health services. The main technology mHealth has transformed health care by allowing people to access health services through remote devices. The power of this technology is on access to health information through smartphones and tablets. Physicians can be able to access patient’s health information and offer expert advice to the patient (Boudreaux et al., 2014). The interconnection provided by mHealth promotes the participation of patients towards their treatment. The interconnection to different databases has allowed patients to monitor things like blood pressure remotely without visiting the hospitals. It is through this t ...
Cis evaluation final_presentation, nur 3563 sol1SBU
An overview of a Computer Information System (CIS) and considerations that need to be taken with implementing an Electronic Health Record (EHR) in a healthcare setting.
Assignment 2 Complementary Partners Imagine you are working wit.docxsalmonpybus
Assignment 2: Complementary Partners
Imagine you are working with a partner to plan and host a workshop on leadership. There will be 100 people attending. Within this assignment you will be creating a document that discusses the main components of leadership and corporate culture.
Write a three to five (3-5) page paper in which you:
1. Address a key leadership trait that can assist in managing conflict.
2. Discuss a tool or strategy a leader can adopt for improving communication within the organization.
3. Describe some methods for motivating employees and improving behaviors within the workplace.
4. Format your assignment according to the following formatting requirements:
a. This course requires use of APA format.
The specific course learning outcomes associated with this assignment are:
· Describe the primary functions of management (planning, organizing, leading, controlling) and the associated skills, tools, and theoretical approaches that can be used to accomplish these functions.
· Explain the principal theories of leadership and motivation, and describe the fundamental considerations in managing and motivating individual and group behavior.
· Describe actions to improve communications, manage conflict, develop strong organizational culture, and improve the ethical behavior in organizations.
· Use technology and information resources to research issues in management concepts.
· Write clearly and concisely about management concepts using proper writing mechanics.
Introduction to Information Technology—Role in Nursing and Healthcare
In this module, we begin with an introduction to information technology and the management of information. The readings in this module identify the many areas in healthcare in which information technology is used. The fundamental of healthcare delivery is an important start to our course. Information technology is used in such healthcare facilities as ambulatory care, acute care, and subacute care. The different methods and means each healthcare facility uses and manages information technology is outlined in our readings. Healthcare providers such as direct care providers, clinical allied professionals, and other organizations (i.e., American Medical Association, American Nurses Association) all use technology to guide delivery of care, information, and manage these deliveries for various reasons (McGonigle & Mastrian, 2015).
Introduction
As an information-intensive profession, nursing continues to use information technology in healthcare. Nurses use information in applying knowledge to problems, and acting with wisdom forming the basis of the professional of nursing. The availability of this information in caring for patients continues to grow for nurses and allows for increased accessibility, accuracy, and timeliness in caring for patients. The information age is here for nursing and the U.S. healthcare system (McGonigle & Mastrian, 2015). In this module, an introduction to information technology (IT), .
Healthcare Interoperability: The Key to Leveraging Health TechMityung
Despite some setbacks, the digitalization of healthcare holds great promise for global health improvements. Health information technology (HIT) systems are taking over the healthcare industry.
For further information click here
https://www.mityung.com/
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TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
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NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- 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
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
3. Clinical Information System
(CIS)
According to McGonigle & Mastrain (2009), “a
CIS is a technology based system that is
applied at the point of care and is designed to
support the acquisition and the processing of
information as well as providing storage and
processing capabilities” (p.193).
A CIS is a complete, comprehensive electronic
health record system (EHR).
McGonigle, D. & Mastrian, K., 2009
4. What are some benefits of a
CIS?
Ease of obtaining patient data at the point of care
Ability to search patient data easily
There is no concern with legibility of charting
Ability to analyze data easily
Enhanced patient safety
McGonigle, D. & Mastrian, K. (2009).
5. Who are the key players to a
CIS?
Administration
Physicians
Patient care assistants
Social workers
Therapy staff
Nurses
and many others!
McGonigle, D. & Mastrian, K., 2009
6. Key players continued:
You need to include everyone from those who
will run reports, to most importantly, the end
users.
Ensuring everyone is involved, will provide “a
consistency in the charting done by different
clinicians, while enabling their pathways to
be designed according to their specific needs”
(McGonigle & Mastrian. 2009, p.194).
7. What are the components of the
EHR?
health information and data
order entry management
results management
decision support
electronic communication and connectivity
patient support
administrative processes
reporting and population health management
The entire health care team should have access to the EHR.
McGonigle, D. & Mastrian, K. (2009).
8. What is a CDS?
CDS is an abbreviation for the
Clinical Decision System.
A software program that allows
health care professionals with many
tasks related to health care.
Diagnoses
Course of treatment
Statistics related to disease
And much more!
9. What are the functions of a CDS?
There are four functions of an electronic clinical decision
support systems:
Administrative: Supporting clinical coding and documentation,
authorization of procedures, and referrals.
Managing clinical complexity and details: Keeping patients on
research and chemotherapy protocols; tracking orders, referrals
follow-up, and preventive care.
Cost control: Monitoring medication orders; avoiding duplicate
or unnecessary tests.
Decision support: Supporting clinical diagnosis and treatment
plan processes; and promoting use of best practices, condition-
specific guidelines, and population-based management. "
[Perreault & Metzger, 1999]
10. Comparing the two types of CDS:
How should it be structured?
Knowledge-Based Non Knowledge-Based
Provide clinicians with Also known as machine
accurate data such as learning
Drugs This allows clinicians to use
Drug Interactions data from past experiences
Patient Data Symptoms of diseases
Algorithms
Solutions to problems
Results in more narrow
results
11. Incorporating EBP (Evidence
Based Practice) in a CDS
“EBP should be embedded in computerized
documentation of a CIS, providing both prompts
for intervention and/or different questions based
on a charted assessment…
references supporting EBP should be available for
review at the click of a mouse or by a few
keystrokes…the CIS prompting capabilities will
reinforce the practice of looking for evidence to
support nursing interventions…”
(McGonigle, D. & Mastrian, K. (2009).
12. Interested in a DiagnosisOne
CDS for your Diagnosisone.com
Health System? DSS
www.vxvista.org
Eclipsys
Allscripts.com
Check out Zynx Health
these Zynxhealth.com
companies!!!
AND MANY MORE…
@MEDICEXCHANGE.COM
http://medicexchange.com/
13. Safety and Security
The safety and security of a CIS is one of the
most important things to keep in mind when
evaluating an EHR system.
The main areas of safety and security in a CIS
are:
Confidentiality
Availability
Integrity
(McGonigle & Mastrian 2009)
14. Safety and Security:
Confidentiality
Shoulder Surfing is the most
common problem in the
confidentiality of an EHR
(McGonigle & Mastrian 2009).
Shoulder surfing is defined
as:
using direct observation
techniques, such as looking
over someone's shoulder, to
get information (TechTarget,
February 2002).
Be sure to observe employees
and note any shoulder surfing http://techteachtoo.com/wp-
content/uploads/2010/12/shouldersurfing.jpg
by not only employees, but
patients and visitors as well.
15. Safety and Security:
Availability
One way for organizations to protect the availability
of their network is to institute an acceptable use
policy. This policy outlines what employees can and
cannot do on the hospital network.
For example: Are employees allowed to download
personal pictures or music?
Limiting downloads limits the chances for
downloading a virus, which could potentially
compromise the information on the CIS (McGonigle
& Mastrian 2009).
When evaluating a CIS, read the hospitals acceptable
use policy and note any areas that could use
improvement.
16. Safety and Security: Integrity
Integrity: firm adherence
to a code of especially
moral or artistic values
(Merriam-Webster 2011)
Because employees rely on
the information on an EHR,
the integrity of the content
is crucial.
When evaluating a CIS,
make sure there are
references for information,
and that they can be
verified as truthful or
factual.
http://i.dailymail.co.uk/i/pix/2010/03/25/article-
1260760-08DDFB31000005DC-84_233x317.jpg
17. Costs Involved in Implementing
an EHR
“…federal health information technology
spending will grow from $3.2 billion in 2008 to
over $4.5 billion in 2013” (McGonigle, D. &
Mastrian, K., 2009)
2 Categories of costs involved
System Costs
Induced Costs
18. System Costs
Vary markedly depending
on software, institution,
needs, contracts.
Software and Hardware
Training
Implementation
Ongoing Maintenance and Support
19. Induced Costs
Costs involved in transitioning from a paper
to an electronic system, such as the
temporary decrease in productivity during
the implementation phase
20. Cost Savings
Decreased Labor
Decreased billing errors
Increased capture of charges
Decreased medical errors
Increased productivity, information
sharing, and patient satisfaction
Medicare and Medicaid incentives if
qualify
21. Educating Staff
Federal initiatives are pushing the adoption
of electronic health records (EHRs)
throughout all health care institutions by the
year 2014.
Staff must have the knowledge and skills to
practice in a technology-rich environment.
Information technology competencies must
be mandatory for staff to ensure patient
safety and quality of data input.
22. Education
Who Should provide Education?
Should be managed by a Nursing
Informatics Specialist, defined as:
“A specialist with training in Nursing
science and the study/application of
technology and the relationship
between the technology and its use
in real-world settings.” (University
of California, Irvine)
23. Education Goals
Staff training and orientation
throughout institution
according to department
standards
Staff training related to privacy
and HIPAA compliance; initial as
well as yearly and/or PRN
refresher training
Provide education and guidance to
staff transitioning to the EHR
24. References
Berner, Eta S., ed. Clinical Decision Support Systems. New York, NY: Springer, 2007
Cavolo, D. Electronic medical record systems: Know the total cost of ownership. Nursing Homes. Jul 2007; 56(7): 17-20.
Colpas, P. Digital Dilemma. Health Management Technology. June 2010;31(6):12. Online. Accessed October 31, 2011.
"Decision support systems ." 26 July 2005. 17 Feb. 2009 <http://www.openclinical.org/dss.html
McGonigle, D. & Mastrian, K. (2009). Nursing Informatics and the Foundation of Knowledge. Jones and Barlett: Sudbury, MA.
Merriam-Webster Dictionary (2011) Definition of Integrity Retreived on Nov. 27, 2011 from http://www.merriam-
webster.com/dictionary/integrity?show=0&t=1320272169
TechTarget (2002) Definition Shoulder Surfing Retrieved on Nov. 22, 2011 from
http://searchsecurity.techtarget.com/definition/shoulder-surfing
National League of Nursing. “Preparing the next generation of Nurses”. April 23, 2009. Retrieved from
http://www.newsweekshowcase.com/Health/venues/pring/Next .
Perreault L, Metzger J. A pragmatic framework for understanding clinical decision support. Journal of Healthcare Information
Management. 1999;13(2):5-21.
Wang, S., Blackford, M., Prosser, L., Bardon, C., Spurr, C., Carchidi, P. & Kittler, A. A cost benefit analysis of electronic medical
records in primary care. The American Journal of Medicine. 2003; 114: 397-403.