HSMS AG Mission: Develop and use modeling and computer simulation resources with a systems engineering-based approach to design and evaluate (system) solutions that will improve patient safety, quality of care, and cost effectiveness in healthcare.
2016 SSH Healthcare Systems Modeling & Simulation Affinity Group Annual ReportYue Dong
The document summarizes the activities of the Healthcare Systems Modeling and Simulation Affinity Group (HSMSAG). It provides an overview of the group's mission to use modeling and simulation to improve healthcare systems. It discusses the group's membership of over 1,300 individuals, educational webinars, website and social media presence. The document promotes using systems modeling and simulation as an innovation platform to accelerate improving healthcare delivery and outcomes.
This lecture discusses how health information technology can help facilitate error reporting and analysis to improve patient safety. It presents three key HIT mechanisms: automated surveillance systems, online event reporting systems, and predictive analytics/data modeling. The lecture also emphasizes the importance of a culture of safety that encourages open discussion and learning from mistakes without blame. Error reports are analyzed using a risk assessment model to distinguish near misses from events that cause patient harm.
Untethered health in a networked society by James MathewsThe Hive
Talk by James Mathews, Chairman, Health 2.0 India
CEO, Whiteboard Design Pvt Ltd at The Hive Big Data Think Tank Meetup - Healthcare 2.0 hosted at the EMC India.
Information Technology Management in Healthcare Organizations: Part 1 (Octobe...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 20, 2021
This document provides an overview of the concept of culture as it relates to health care. It defines key terms like health, disease, illness, and health care. It discusses how culture can be understood from multiple perspectives in health care, including the cultures of patients, health professionals, organizations, and safety. The document emphasizes that health care involves a complex intermixing of cultures and that cultural competence is important for effectively navigating the different cultures in the health care system.
Introduction to Quality Improvement and Health Information TechnologyCMDLMS
This document is a lecture on quality improvement and health information technology (HIT). It discusses how HIT can help or hinder quality and patient safety through tools like computerized provider order entry (CPOE), electronic medication administration records (eMAR), and clinical decision support. The lecture also examines how HIT can enhance clinical effectiveness, patient centeredness, timeliness, and efficiency of care. Case studies are presented that illustrate how specific healthcare organizations used HIT solutions like a patient portal, electronic order sets, and an automated patient tracking system to address quality issues.
Medical Simulation Standards: What can we learn from the DoD?Roger Smith
DoD has developed simulation standards over 25 years that can inform medical simulation. Standards are needed for system design, interoperability, and synthetic environments. For interoperability, a common model ontology, shared model proxies, network services, and network protocols are important. Enumerations help encode data understood by different programs. Military and medical communities could collaborate on standards if able to bridge differences in vocabulary, needs, and funding.
What would a true 21st century simulation look like? How would it be different than what we already have? Would the models be better representations of real world phenomena? Would the simulation be more accessible, portable, or extensible? Would it be easy to use in spite of the fact that it was more detailed? How would it leverage new technologies? Which new technologies would be its core supports?
Now those are some interesting questions. Let’s look at one possible Big Future for Simulation. Let’s start talking about the 21st century for our industry before the 21st century is over.
2016 SSH Healthcare Systems Modeling & Simulation Affinity Group Annual ReportYue Dong
The document summarizes the activities of the Healthcare Systems Modeling and Simulation Affinity Group (HSMSAG). It provides an overview of the group's mission to use modeling and simulation to improve healthcare systems. It discusses the group's membership of over 1,300 individuals, educational webinars, website and social media presence. The document promotes using systems modeling and simulation as an innovation platform to accelerate improving healthcare delivery and outcomes.
This lecture discusses how health information technology can help facilitate error reporting and analysis to improve patient safety. It presents three key HIT mechanisms: automated surveillance systems, online event reporting systems, and predictive analytics/data modeling. The lecture also emphasizes the importance of a culture of safety that encourages open discussion and learning from mistakes without blame. Error reports are analyzed using a risk assessment model to distinguish near misses from events that cause patient harm.
Untethered health in a networked society by James MathewsThe Hive
Talk by James Mathews, Chairman, Health 2.0 India
CEO, Whiteboard Design Pvt Ltd at The Hive Big Data Think Tank Meetup - Healthcare 2.0 hosted at the EMC India.
Information Technology Management in Healthcare Organizations: Part 1 (Octobe...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 20, 2021
This document provides an overview of the concept of culture as it relates to health care. It defines key terms like health, disease, illness, and health care. It discusses how culture can be understood from multiple perspectives in health care, including the cultures of patients, health professionals, organizations, and safety. The document emphasizes that health care involves a complex intermixing of cultures and that cultural competence is important for effectively navigating the different cultures in the health care system.
Introduction to Quality Improvement and Health Information TechnologyCMDLMS
This document is a lecture on quality improvement and health information technology (HIT). It discusses how HIT can help or hinder quality and patient safety through tools like computerized provider order entry (CPOE), electronic medication administration records (eMAR), and clinical decision support. The lecture also examines how HIT can enhance clinical effectiveness, patient centeredness, timeliness, and efficiency of care. Case studies are presented that illustrate how specific healthcare organizations used HIT solutions like a patient portal, electronic order sets, and an automated patient tracking system to address quality issues.
Medical Simulation Standards: What can we learn from the DoD?Roger Smith
DoD has developed simulation standards over 25 years that can inform medical simulation. Standards are needed for system design, interoperability, and synthetic environments. For interoperability, a common model ontology, shared model proxies, network services, and network protocols are important. Enumerations help encode data understood by different programs. Military and medical communities could collaborate on standards if able to bridge differences in vocabulary, needs, and funding.
What would a true 21st century simulation look like? How would it be different than what we already have? Would the models be better representations of real world phenomena? Would the simulation be more accessible, portable, or extensible? Would it be easy to use in spite of the fact that it was more detailed? How would it leverage new technologies? Which new technologies would be its core supports?
Now those are some interesting questions. Let’s look at one possible Big Future for Simulation. Let’s start talking about the 21st century for our industry before the 21st century is over.
Medical Simulation 2.0: Improving value-based healthcare deliveryYue Dong
This document provides an overview of medical simulation and its applications in healthcare delivery. It discusses how simulation can be used as a tool to systematically analyze complex healthcare systems and processes, identify bottlenecks, and test interventions to optimize quality and safety. Specific applications mentioned include using simulation to study workflows like sepsis care, test user interfaces on clinical tasks and performance, and evaluate new system designs before implementation. The goal is to move from traditional education-focused "Simulation 1.0" to a more integrated "Simulation 2.0" approach that leverages simulation throughout healthcare systems and daily practices.
Key Topics in Health Care Technology EvaluationThe amount of new i.docxsleeperfindley
Key Topics in Health Care Technology Evaluation
The amount of new information and data, and the number of available technologies are growing at an ever-accelerating rate. Did you know that during any given 24 hours, humanity generates enough new information to fill the Library of Congress 70 times (Smolan & Erwitt, 2012)? As a nurse informaticist, it is important to keep current on new developments in the field, but with the rapid pace of change, that effort can be overwhelming. It is easier to keep current with key trends if nurse informaticists focus on selected issues.
In this Discussion, you consider key topics in the field of health care technology. You then consider the different approaches you could take when designing an evaluation in these areas. For example, if you are interested in usability, your goal could be to determine if a system is user friendly from the viewpoint of a nurse. A different goal might be to determine if the location of the system facilitates ease of use from the viewpoint of physicians.
Note:
This Discussion serves as practice for the first part of your Evaluation Project. What you derive from your Discussion with colleagues will likely inform the work that you do in Part 1 of the Evaluation Project.
The Discussion focuses on the following major topics in the health care information field:
Implementing HIT Systems
Consumer health information
Computerized Physician Order Entry (CPOE)
Decision support systems
Electronic health records (EHR)
Tele-medicine and eHealth
Nursing documentation
Other Issues Related to the Use of HIT Systems
Interoperability
Unforeseen consequences
Usability
To prepare:
Select at least
two
topics from the
lists above
that are relevant to your current organization or that are of particular interest to you. Read the articles in this week’s Learning Resources that relate to these topics. Consider why these topics are of interest to you, what relevance they have to health care organizations, and how they impact your professional responsibilities. Choose one topic to be the focus of your Evaluation Project, and consider potential evaluation goals.
Determine the viewpoint from which you would approach the evaluation, and why.
By tomorrow, post a minimum of 550 words essay in APA format with a minimum of 3 references from the list of required resources below, that addresses the level one headings as numbered below:
1)
Post
the two topics you identified as most relevant to your organization or to you personally, and explain why you selected those topics.
2)
Identify the topic you selected for your Evaluation Project, and propose three potential evaluation goals for this topic.
3)
Identify the viewpoint you would use with each goal, and explain why.
Required Readings
Friedman, C. P., & Wyatt, J. C. (2010). Evaluation methods in biomedical informatics (2nd ed.). New York, NY: Springer Science+Business Media, Inc
.
Chapter 2, “Evaluation as a Field” (pp. 21–47)
This chapter defines.
This document discusses digital health transformation and the role of health information technology. It begins by exploring concepts like artificial intelligence, blockchain, cloud computing and big data. It then examines the potential for "smart" machines in healthcare while acknowledging the complexities of digitizing such a system. The document emphasizes that clinical judgment is still necessary given variations in patients. It outlines components of healthcare systems and forms of health IT both within and beyond hospitals. Finally, it discusses using health IT to support clinical decision making and reduce errors.
The document provides an overview of hospital information systems, describing how they use information and communication technologies to help clinicians provide high quality, safe, and efficient care by reducing errors and improving access to patient information, with examples including electronic health records, computerized physician order entry, clinical decision support systems, and other applications.
Common Models in Health Informatics Evaluation.docxwrite31
1) The author was assigned Scenario 2, which involves evaluating the impact of a new decision support system on adverse events at a hospital. Two models that could be used are the technology acceptance model (TAM) and diffusion of innovations (DOI) model.
2) The TAM would be useful to evaluate how physicians and nurses accept and use the new system by examining perceived ease of use and perceived usefulness. The DOI model could be used to evaluate how the system spreads and is adopted within the hospital by looking at factors that influence its diffusion.
3) It is important to consider the intended goal of the evaluation, which in this case is to determine the system's impact on adverse events. The viewpoint
Presented at the Healthcare CEO50 Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 4, 2021
This document discusses occupational health and safety management systems and high-performance work systems. It defines biomedical and health informatics, public health informatics, visual analytics, and geovisualization. It presents the University of Illinois Health system's current paper-based occupational health workflow and its proposed electronic, data-driven workflow using Qualtrics, ESRI, IBM SPSS, and Cerner software. It demonstrates predictive analytics on employee health reports to provide real-time metrics and optimize decisions using geographic information systems.
Nursing and Health Care Informatics Ethics and the LawW.docxcarlibradley31429
Nursing and Health Care Informatics Ethics and the Law
"Whatever, in connection with my professional service, or not in connection with it, I see or hear, in the life of men, which ought not to be spoken of abroad, I will not divulge, as reckoning that all such should be kept secret."
—Confidentiality excerpt from the Hippocratic Oath (as cited in Croll, 2010)
Traditional schools of medicine have a ritual of reciting oath excerpts such as the one above during their graduation ceremonies. Such excerpts usually revolve around a professional’s promise to uphold the ideals of patient safety and confidentiality to the best of his or her ability.
With the continued integration of Health Information Technology (HIT), and advances in technology such as hand-held computers, new ethical considerations have evolved within health care settings. For example, wireless capabilities can provide easier access to information from unauthorized outside parties. While technological advances have led to improvements in health care, they have also created new vulnerabilities. Doctorally prepared nurses need to be aware of ethical issues surrounding the use of patient information, technology, and the respective liabilities.
Reference:
Croll, P. (2010). Privacy, security and access with sensitive health information.
Studies in Health Technology and Informatics, 151,
167–175.
To prepare:
Reflect on this week’s Learning Resources, focusing on the ethical and legal issues associated with usage of data and health information.
For this Discussion, identify an ethical issue related to data collection or information management at your organization or one with which you are familiar.
Determine the potential liabilities that this ethical issue presents by reviewing the AMIA Code of Ethics.
Consider the legal aspects of your ethical issue and the steps that could be taken to avoid or minimize risk.
By tomorrow Wednesday 09/27/17, 12 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:
post
a cohesive response that addresses the following:
1) Describe your selected ethical issue (example of ethical issues in nursing Informatics are:
Ethical Use of Genomic Information and Electronic Medical Records, Alarm Fatigue, Privacy, Confidentiality, and Data Sharing
). Choose one!
2) Analyze the potential liabilities that this issue poses to the organization by referencing the AMIA Code of Ethics.
3) Formulate strategies that the organization could implement to address the ethical issue.
Required Readings
Course Text: American Nurses Association. (2008). Nursing informatics: Scope and standards of practice. Silver Spring, MD: Author.
"Ethics in Nursing Informatics" (p. 49-52)
This page of the text introduces three common ethical codes used in health care today.
Croll, P. (2010). Pr.
This document discusses recommender systems for personalized health education. It begins with an introduction to health education and tailored health education. It then discusses the potential of recommender systems to help address information overload on the web for health information. The main types of recommender systems are described as collaborative, content-based, and hybrid. Examples of existing health recommender systems are provided. Opportunities and challenges of using recommender systems for health education are outlined. In conclusions, it is noted that recommender systems have potential to help access relevant health education resources but also differ from traditional recommender system scenarios.
Common Models in Health Informatics EvaluationHave you ever watche.docxbartholomeocoombs
Common Models in Health Informatics Evaluation
Have you ever watched a movie in which the same scene was shown several times but as viewed by different individuals? Or, have you watched a detective show in which the witnesses all had differing accounts? The same can hold true for conducting an evaluation of a health information technology project. How you plan and conduct the evaluation is largely dependent on the viewpoint you assume and the perspective with which you approach the evaluation.
Consider a new patient discharge protocol at a small hospital. Do you want to know how the patient feels about the process? Do you want to gather the opinions of nurses who are using this process? Perhaps you want to determine if it is saving the hospital money by freeing up bed space in a more timely fashion. Obtaining each of these viewpoints would require a different approach. Depending on the goal of your evaluation, the model and viewpoint you opt to use will likely vary.
In this Discussion, determine which evaluation model would be most effective for evaluating the health information technology described in one of the scenarios below. Your Instructor will assign a specific scenario by Day 1 of this week.
Scenario 1:
You have recently provided a training program to help nurses and physicians become proficient in the use of a new bedside medication verification (BMV) system.
Scenario 2:
The Chief Medical Officer at your hospital is interested in finding out the impact of a new decision support system on the number of adverse events occurring in the past year.
Scenario 3:
You are helping with the design of a new outpatient surgery center to be built adjacent to the hospital. You are tasked with evaluating the opinions of physicians, nurses, and the general public toward this facility.
To prepare:
Review the information on the types of evaluation models covered in this week’s Learning Resources.
Determine which model would be most appropriate to use for evaluation in the scenario to which you were assigned.
Consider why the viewpoint of the scenario or situation would impact the model used.
View the scenario from a different viewpoint, and consider how a different model might be used.
Reflect on the importance of basing an evaluation on a model.
By tomorrow 12/13/2016 at 9pm, post a minimum of 550 words in APA format with a minimum of 3 references from the list below, which include the level one headings as numbered below:
1)
Post
which scenario (1, 2, or 3) you were assigned and two different models that could be utilized to approach the evaluation.
2)
Explain why you selected those models and how you would use them.
3)
Explain why it is important to consider the intended goal of the evaluation and the viewpoint that is selected.
4)
Finally, assess the importance of basing an evaluation on a model. Justify your response.
Required Readings
Technology Acceptance Model
Kowitlawakul, Y. (2011). The Technology Acceptance Model: Predictin.
Application Evaluation Project Part 1 Evaluation Plan FocusTec.docxalfredai53p
Application: Evaluation Project Part 1: Evaluation Plan Focus
Technology increases human effectiveness. Using a lever, you can move an object several times your size. In an airplane, you can move exponentially faster than on foot. Using the Internet, you can access information much more quickly than at a library. What possibilities like this exist in the nursing field? What health information technologies can amplify your impact as a nurse far more than ever before? In this Evaluation Project, you will have the opportunity to answer these questions.
Because of the great differences between HIT systems and different goals of an evaluation, there is no one-size-fits-all evaluation plan. Different technologies require different evaluation methods. Consequently, in this part of your Evaluation Project, you will conduct research on how system implementations similar to the one you select have been previously evaluated. After exploring similar system implementations, you will select one research goal and viewpoint to use in the evaluation.
Read the following three scenarios, and select the one that is of most interest to you:
Scenario 1:
Your hospital is implementing a new unified acute and ambulatory Electronic Health Record (EHR) system through which patient care documentation will occur. Interdisciplinary assessment forms (including nursing), clinical decision support, and medical notes will be documented in this system. The implementation of the system is anticipated to improve the hospital’s performance in a multitude of areas. In particular, it is hoped that the use of the EHR system will reduce the rate of patient safety events, improve the quality of care, deter sentinel events, reduce patient readmissions, and impact spending. The implementation of the EHR system is also intended to fulfill the “Meaningful Use” requirements stipulated in the Health Information Technology for Economic and Clinical Health (HITECH) Act. As the hospital’s lead nurse informaticist, you have been tasked with planning the evaluation of the EHR implementation.
Scenario 2:
As the lead nurse informaticist in your hospital, you have been given the task of planning an evaluation for a soon-to-be launched computerized provider order entry (CPOE) system. The CPOE system is designed to replace conventional methods of placing medication, laboratory, admission, referral, and radiology orders. CPOE systems enable health care providers to electronically specify orders, rather than rely on paper prescriptions, telephone calls, and faxes. The intended goal of a CPOE system is to improve safety by ensuring that orders are easily comprehensible through the use of evidence-based order sets. In addition, the CPOE system has the potential for improving workflow by avoiding duplicate orders and reducing the steps between those who place medical orders and their recipients.
Scenario 3:
You are the lead nurse informaticist in a large urban hospital that has recently implemented a new .
The Implementation and Sustenance of Employee Wellness and Ill-Health Prevent...inventionjournals
Several work days are lost in organizations due to job accidents. Previous studies have focused on organizational productivity leaving out the employee wellness and ill-health prevention in Organizations. This study investigated the implementation of employee wellness and ill-health prevention in Organizations. The study was done in Mumias Sugar Company. It was taken as a case to represent the other organizations since it is the largest sugar company in Kenya which has to an extent shown indications of implementation of employee wellness and ill-health prevention. The study was guided by the systems theory of accident causation. The descriptive survey design and the conceptual framework depicting the implementation and sustenance of employee wellness and ill-health prevention in Organizations and Purposive and simple random sampling techniques were used. Primary data was collected using questionnaires and secondary data got from the internet and libraries. Validity tests were done through test-retest. The collected data was analyzed and presented in forms of graphs and tables. The study may be beneficial to scholars and other stakeholders in the production industry. The study established that the employees were taken through the employee wellness and illhealth prevention trainings in Mumias Sugar Company. All Organizations need to ensure that their workers are working in a safe environment so as to have a comfortable workforce that will realize productivity and profitability in the firm
1) The document discusses a presentation on health IT for executives given at the Royal Thai Navy Medical Department's fiscal year 2016 budget training course for medical administration.
2) The presentation was given by Dr. Nawanan Theera-Ampornpunt, who has medical and health informatics degrees from Ramathibodi Hospital and the University of Minnesota.
3) The presentation covers why health IT is needed in healthcare, examples of health IT tools and their uses, and how to manage IT in healthcare organizations by balancing people, processes and technology.
Health IT, Ethics & Law for Pathologists: Perils or Promises? (March 1, 2019)Nawanan Theera-Ampornpunt
This document discusses a presentation on health IT, ethics, and law for pathologists. It covers several topics related to digital health transformation including the rise of artificial intelligence and smart machines. It discusses issues around digitizing healthcare and clinical decision support systems. It also addresses unintended consequences of health IT, appropriate use of technology, and why clinical judgment is still necessary. The document emphasizes that health IT should supplement rather than replace clinical expertise and that qualified health professionals should use systems appropriately after adequate training.
Presented at "Hospital Management 2015" Program, Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand on August 18, 2015
1) The document discusses a presentation given at a health IT training course for military medical executives in Thailand.
2) The presenter has a medical degree and PhD in health informatics from the University of Minnesota and currently teaches at Ramathibodi Hospital.
3) The presentation covers why health IT is needed in healthcare, what forms it takes (e.g. EHRs, CPOE), and how hospital IT should be managed with a focus on quality, safety, and people over technology.
This document provides an overview of data mining applications in healthcare. It discusses how electronic health records have increased the amount of patient data available and how healthcare organizations are now using data mining and predictive analytics to optimize efficiency and quality. The document outlines several common uses of data mining in healthcare, such as predictive medicine, fraud detection, and measuring treatment effectiveness. It also describes some common data mining algorithms like decision trees and neural networks that are applied in healthcare. Finally, the document discusses future opportunities for data mining in healthcare like improved data sharing and more integrated web mining tools.
Health IT in hospitals includes various systems like electronic health records, computerized physician order entry, picture archiving systems, and more. These systems can help reduce errors, improve access to information, and enhance care coordination in a fragmented healthcare system. However, selecting and implementing the right health IT requires a focus on using standards to allow information sharing, rather than seeking a single, unified system.
About this webinar: This talk will introduce what cancer rehabilitation is, where it fits into the cancer trajectory, and who can benefit from it. In addition, the current landscape of cancer rehabilitation in Canada will be discussed and the need for advocacy to increase access to this essential component of cancer care.
INFECTION OF THE BRAIN -ENCEPHALITIS ( PPT)blessyjannu21
Neurological system includes brain and spinal cord. It plays an important role in functioning of our body. Encephalitis is the inflammation of the brain. Causes include viral infections, infections from insect bites or an autoimmune reaction that affects the brain. It can be life-threatening or cause long-term complications. Treatment varies, but most people require hospitalization so they can receive intensive treatment, including life support.
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Similar to 2014 SSH Healthcare Systems Modeling & Simulation Affinity Group Annual Report
Medical Simulation 2.0: Improving value-based healthcare deliveryYue Dong
This document provides an overview of medical simulation and its applications in healthcare delivery. It discusses how simulation can be used as a tool to systematically analyze complex healthcare systems and processes, identify bottlenecks, and test interventions to optimize quality and safety. Specific applications mentioned include using simulation to study workflows like sepsis care, test user interfaces on clinical tasks and performance, and evaluate new system designs before implementation. The goal is to move from traditional education-focused "Simulation 1.0" to a more integrated "Simulation 2.0" approach that leverages simulation throughout healthcare systems and daily practices.
Key Topics in Health Care Technology EvaluationThe amount of new i.docxsleeperfindley
Key Topics in Health Care Technology Evaluation
The amount of new information and data, and the number of available technologies are growing at an ever-accelerating rate. Did you know that during any given 24 hours, humanity generates enough new information to fill the Library of Congress 70 times (Smolan & Erwitt, 2012)? As a nurse informaticist, it is important to keep current on new developments in the field, but with the rapid pace of change, that effort can be overwhelming. It is easier to keep current with key trends if nurse informaticists focus on selected issues.
In this Discussion, you consider key topics in the field of health care technology. You then consider the different approaches you could take when designing an evaluation in these areas. For example, if you are interested in usability, your goal could be to determine if a system is user friendly from the viewpoint of a nurse. A different goal might be to determine if the location of the system facilitates ease of use from the viewpoint of physicians.
Note:
This Discussion serves as practice for the first part of your Evaluation Project. What you derive from your Discussion with colleagues will likely inform the work that you do in Part 1 of the Evaluation Project.
The Discussion focuses on the following major topics in the health care information field:
Implementing HIT Systems
Consumer health information
Computerized Physician Order Entry (CPOE)
Decision support systems
Electronic health records (EHR)
Tele-medicine and eHealth
Nursing documentation
Other Issues Related to the Use of HIT Systems
Interoperability
Unforeseen consequences
Usability
To prepare:
Select at least
two
topics from the
lists above
that are relevant to your current organization or that are of particular interest to you. Read the articles in this week’s Learning Resources that relate to these topics. Consider why these topics are of interest to you, what relevance they have to health care organizations, and how they impact your professional responsibilities. Choose one topic to be the focus of your Evaluation Project, and consider potential evaluation goals.
Determine the viewpoint from which you would approach the evaluation, and why.
By tomorrow, post a minimum of 550 words essay in APA format with a minimum of 3 references from the list of required resources below, that addresses the level one headings as numbered below:
1)
Post
the two topics you identified as most relevant to your organization or to you personally, and explain why you selected those topics.
2)
Identify the topic you selected for your Evaluation Project, and propose three potential evaluation goals for this topic.
3)
Identify the viewpoint you would use with each goal, and explain why.
Required Readings
Friedman, C. P., & Wyatt, J. C. (2010). Evaluation methods in biomedical informatics (2nd ed.). New York, NY: Springer Science+Business Media, Inc
.
Chapter 2, “Evaluation as a Field” (pp. 21–47)
This chapter defines.
This document discusses digital health transformation and the role of health information technology. It begins by exploring concepts like artificial intelligence, blockchain, cloud computing and big data. It then examines the potential for "smart" machines in healthcare while acknowledging the complexities of digitizing such a system. The document emphasizes that clinical judgment is still necessary given variations in patients. It outlines components of healthcare systems and forms of health IT both within and beyond hospitals. Finally, it discusses using health IT to support clinical decision making and reduce errors.
The document provides an overview of hospital information systems, describing how they use information and communication technologies to help clinicians provide high quality, safe, and efficient care by reducing errors and improving access to patient information, with examples including electronic health records, computerized physician order entry, clinical decision support systems, and other applications.
Common Models in Health Informatics Evaluation.docxwrite31
1) The author was assigned Scenario 2, which involves evaluating the impact of a new decision support system on adverse events at a hospital. Two models that could be used are the technology acceptance model (TAM) and diffusion of innovations (DOI) model.
2) The TAM would be useful to evaluate how physicians and nurses accept and use the new system by examining perceived ease of use and perceived usefulness. The DOI model could be used to evaluate how the system spreads and is adopted within the hospital by looking at factors that influence its diffusion.
3) It is important to consider the intended goal of the evaluation, which in this case is to determine the system's impact on adverse events. The viewpoint
Presented at the Healthcare CEO50 Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 4, 2021
This document discusses occupational health and safety management systems and high-performance work systems. It defines biomedical and health informatics, public health informatics, visual analytics, and geovisualization. It presents the University of Illinois Health system's current paper-based occupational health workflow and its proposed electronic, data-driven workflow using Qualtrics, ESRI, IBM SPSS, and Cerner software. It demonstrates predictive analytics on employee health reports to provide real-time metrics and optimize decisions using geographic information systems.
Nursing and Health Care Informatics Ethics and the LawW.docxcarlibradley31429
Nursing and Health Care Informatics Ethics and the Law
"Whatever, in connection with my professional service, or not in connection with it, I see or hear, in the life of men, which ought not to be spoken of abroad, I will not divulge, as reckoning that all such should be kept secret."
—Confidentiality excerpt from the Hippocratic Oath (as cited in Croll, 2010)
Traditional schools of medicine have a ritual of reciting oath excerpts such as the one above during their graduation ceremonies. Such excerpts usually revolve around a professional’s promise to uphold the ideals of patient safety and confidentiality to the best of his or her ability.
With the continued integration of Health Information Technology (HIT), and advances in technology such as hand-held computers, new ethical considerations have evolved within health care settings. For example, wireless capabilities can provide easier access to information from unauthorized outside parties. While technological advances have led to improvements in health care, they have also created new vulnerabilities. Doctorally prepared nurses need to be aware of ethical issues surrounding the use of patient information, technology, and the respective liabilities.
Reference:
Croll, P. (2010). Privacy, security and access with sensitive health information.
Studies in Health Technology and Informatics, 151,
167–175.
To prepare:
Reflect on this week’s Learning Resources, focusing on the ethical and legal issues associated with usage of data and health information.
For this Discussion, identify an ethical issue related to data collection or information management at your organization or one with which you are familiar.
Determine the potential liabilities that this ethical issue presents by reviewing the AMIA Code of Ethics.
Consider the legal aspects of your ethical issue and the steps that could be taken to avoid or minimize risk.
By tomorrow Wednesday 09/27/17, 12 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:
post
a cohesive response that addresses the following:
1) Describe your selected ethical issue (example of ethical issues in nursing Informatics are:
Ethical Use of Genomic Information and Electronic Medical Records, Alarm Fatigue, Privacy, Confidentiality, and Data Sharing
). Choose one!
2) Analyze the potential liabilities that this issue poses to the organization by referencing the AMIA Code of Ethics.
3) Formulate strategies that the organization could implement to address the ethical issue.
Required Readings
Course Text: American Nurses Association. (2008). Nursing informatics: Scope and standards of practice. Silver Spring, MD: Author.
"Ethics in Nursing Informatics" (p. 49-52)
This page of the text introduces three common ethical codes used in health care today.
Croll, P. (2010). Pr.
This document discusses recommender systems for personalized health education. It begins with an introduction to health education and tailored health education. It then discusses the potential of recommender systems to help address information overload on the web for health information. The main types of recommender systems are described as collaborative, content-based, and hybrid. Examples of existing health recommender systems are provided. Opportunities and challenges of using recommender systems for health education are outlined. In conclusions, it is noted that recommender systems have potential to help access relevant health education resources but also differ from traditional recommender system scenarios.
Common Models in Health Informatics EvaluationHave you ever watche.docxbartholomeocoombs
Common Models in Health Informatics Evaluation
Have you ever watched a movie in which the same scene was shown several times but as viewed by different individuals? Or, have you watched a detective show in which the witnesses all had differing accounts? The same can hold true for conducting an evaluation of a health information technology project. How you plan and conduct the evaluation is largely dependent on the viewpoint you assume and the perspective with which you approach the evaluation.
Consider a new patient discharge protocol at a small hospital. Do you want to know how the patient feels about the process? Do you want to gather the opinions of nurses who are using this process? Perhaps you want to determine if it is saving the hospital money by freeing up bed space in a more timely fashion. Obtaining each of these viewpoints would require a different approach. Depending on the goal of your evaluation, the model and viewpoint you opt to use will likely vary.
In this Discussion, determine which evaluation model would be most effective for evaluating the health information technology described in one of the scenarios below. Your Instructor will assign a specific scenario by Day 1 of this week.
Scenario 1:
You have recently provided a training program to help nurses and physicians become proficient in the use of a new bedside medication verification (BMV) system.
Scenario 2:
The Chief Medical Officer at your hospital is interested in finding out the impact of a new decision support system on the number of adverse events occurring in the past year.
Scenario 3:
You are helping with the design of a new outpatient surgery center to be built adjacent to the hospital. You are tasked with evaluating the opinions of physicians, nurses, and the general public toward this facility.
To prepare:
Review the information on the types of evaluation models covered in this week’s Learning Resources.
Determine which model would be most appropriate to use for evaluation in the scenario to which you were assigned.
Consider why the viewpoint of the scenario or situation would impact the model used.
View the scenario from a different viewpoint, and consider how a different model might be used.
Reflect on the importance of basing an evaluation on a model.
By tomorrow 12/13/2016 at 9pm, post a minimum of 550 words in APA format with a minimum of 3 references from the list below, which include the level one headings as numbered below:
1)
Post
which scenario (1, 2, or 3) you were assigned and two different models that could be utilized to approach the evaluation.
2)
Explain why you selected those models and how you would use them.
3)
Explain why it is important to consider the intended goal of the evaluation and the viewpoint that is selected.
4)
Finally, assess the importance of basing an evaluation on a model. Justify your response.
Required Readings
Technology Acceptance Model
Kowitlawakul, Y. (2011). The Technology Acceptance Model: Predictin.
Application Evaluation Project Part 1 Evaluation Plan FocusTec.docxalfredai53p
Application: Evaluation Project Part 1: Evaluation Plan Focus
Technology increases human effectiveness. Using a lever, you can move an object several times your size. In an airplane, you can move exponentially faster than on foot. Using the Internet, you can access information much more quickly than at a library. What possibilities like this exist in the nursing field? What health information technologies can amplify your impact as a nurse far more than ever before? In this Evaluation Project, you will have the opportunity to answer these questions.
Because of the great differences between HIT systems and different goals of an evaluation, there is no one-size-fits-all evaluation plan. Different technologies require different evaluation methods. Consequently, in this part of your Evaluation Project, you will conduct research on how system implementations similar to the one you select have been previously evaluated. After exploring similar system implementations, you will select one research goal and viewpoint to use in the evaluation.
Read the following three scenarios, and select the one that is of most interest to you:
Scenario 1:
Your hospital is implementing a new unified acute and ambulatory Electronic Health Record (EHR) system through which patient care documentation will occur. Interdisciplinary assessment forms (including nursing), clinical decision support, and medical notes will be documented in this system. The implementation of the system is anticipated to improve the hospital’s performance in a multitude of areas. In particular, it is hoped that the use of the EHR system will reduce the rate of patient safety events, improve the quality of care, deter sentinel events, reduce patient readmissions, and impact spending. The implementation of the EHR system is also intended to fulfill the “Meaningful Use” requirements stipulated in the Health Information Technology for Economic and Clinical Health (HITECH) Act. As the hospital’s lead nurse informaticist, you have been tasked with planning the evaluation of the EHR implementation.
Scenario 2:
As the lead nurse informaticist in your hospital, you have been given the task of planning an evaluation for a soon-to-be launched computerized provider order entry (CPOE) system. The CPOE system is designed to replace conventional methods of placing medication, laboratory, admission, referral, and radiology orders. CPOE systems enable health care providers to electronically specify orders, rather than rely on paper prescriptions, telephone calls, and faxes. The intended goal of a CPOE system is to improve safety by ensuring that orders are easily comprehensible through the use of evidence-based order sets. In addition, the CPOE system has the potential for improving workflow by avoiding duplicate orders and reducing the steps between those who place medical orders and their recipients.
Scenario 3:
You are the lead nurse informaticist in a large urban hospital that has recently implemented a new .
The Implementation and Sustenance of Employee Wellness and Ill-Health Prevent...inventionjournals
Several work days are lost in organizations due to job accidents. Previous studies have focused on organizational productivity leaving out the employee wellness and ill-health prevention in Organizations. This study investigated the implementation of employee wellness and ill-health prevention in Organizations. The study was done in Mumias Sugar Company. It was taken as a case to represent the other organizations since it is the largest sugar company in Kenya which has to an extent shown indications of implementation of employee wellness and ill-health prevention. The study was guided by the systems theory of accident causation. The descriptive survey design and the conceptual framework depicting the implementation and sustenance of employee wellness and ill-health prevention in Organizations and Purposive and simple random sampling techniques were used. Primary data was collected using questionnaires and secondary data got from the internet and libraries. Validity tests were done through test-retest. The collected data was analyzed and presented in forms of graphs and tables. The study may be beneficial to scholars and other stakeholders in the production industry. The study established that the employees were taken through the employee wellness and illhealth prevention trainings in Mumias Sugar Company. All Organizations need to ensure that their workers are working in a safe environment so as to have a comfortable workforce that will realize productivity and profitability in the firm
1) The document discusses a presentation on health IT for executives given at the Royal Thai Navy Medical Department's fiscal year 2016 budget training course for medical administration.
2) The presentation was given by Dr. Nawanan Theera-Ampornpunt, who has medical and health informatics degrees from Ramathibodi Hospital and the University of Minnesota.
3) The presentation covers why health IT is needed in healthcare, examples of health IT tools and their uses, and how to manage IT in healthcare organizations by balancing people, processes and technology.
Health IT, Ethics & Law for Pathologists: Perils or Promises? (March 1, 2019)Nawanan Theera-Ampornpunt
This document discusses a presentation on health IT, ethics, and law for pathologists. It covers several topics related to digital health transformation including the rise of artificial intelligence and smart machines. It discusses issues around digitizing healthcare and clinical decision support systems. It also addresses unintended consequences of health IT, appropriate use of technology, and why clinical judgment is still necessary. The document emphasizes that health IT should supplement rather than replace clinical expertise and that qualified health professionals should use systems appropriately after adequate training.
Presented at "Hospital Management 2015" Program, Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand on August 18, 2015
1) The document discusses a presentation given at a health IT training course for military medical executives in Thailand.
2) The presenter has a medical degree and PhD in health informatics from the University of Minnesota and currently teaches at Ramathibodi Hospital.
3) The presentation covers why health IT is needed in healthcare, what forms it takes (e.g. EHRs, CPOE), and how hospital IT should be managed with a focus on quality, safety, and people over technology.
This document provides an overview of data mining applications in healthcare. It discusses how electronic health records have increased the amount of patient data available and how healthcare organizations are now using data mining and predictive analytics to optimize efficiency and quality. The document outlines several common uses of data mining in healthcare, such as predictive medicine, fraud detection, and measuring treatment effectiveness. It also describes some common data mining algorithms like decision trees and neural networks that are applied in healthcare. Finally, the document discusses future opportunities for data mining in healthcare like improved data sharing and more integrated web mining tools.
Health IT in hospitals includes various systems like electronic health records, computerized physician order entry, picture archiving systems, and more. These systems can help reduce errors, improve access to information, and enhance care coordination in a fragmented healthcare system. However, selecting and implementing the right health IT requires a focus on using standards to allow information sharing, rather than seeking a single, unified system.
Similar to 2014 SSH Healthcare Systems Modeling & Simulation Affinity Group Annual Report (20)
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Benefits of Regular Exercise:
Physical Benefits: Discusses how exercise aids in weight management, muscle and bone health, cardiovascular health, and flexibility.
Mental Benefits: Explains the psychological advantages, including stress reduction, improved mood, and better sleep.
Tips for Staying Active:
Encourages consistency, variety in exercises, setting realistic goals, and finding enjoyable activities to maintain motivation.
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Integrating Nutrition and Exercise: Suggests meal planning and incorporating physical activity into daily routines.
Monitoring Progress: Recommends tracking food intake and exercise, regular health check-ups, and provides tips for achieving balance, such as getting sufficient sleep, managing stress, and staying socially active.
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2014 SSH Healthcare Systems Modeling & Simulation Affinity Group Annual Report
1. Healthcare Systems Modeling
and Simulation Affinity Group
June 23, 2014
http://www.ssih.org/Interest-Groups/Healthcare-Systems-Modeling-Simulation
2. Simulation is the imitation or representation of one act
or system by another.
Healthcare simulations can be said to have four main
purposes – education, assessment, research, and
health systems integration to facilitate patient
safety…
http://www.ssih.org/About-Simulation
3. 2011, Health IT and Patient Safety: Building Safer Systems for Better
Care, Committee on Patient Safety and Health Information Technology; Institute of Medicine
5. Human beings make mistakes because
the systems, tasks and processes they
work in are poorly designed.
Dr. Lucian Leape
Every system is perfectly designed
to get the results it gets.
Dr. Donald M. Berwick
Systems approach to improve
patient safety
6. Adjust structure and process to eliminate or minimize
risks of health care-associated injury, before they
have an adverse event-impact on the outcomes of
care
Donabedian. Evaluating of Medical Care. The Milbank Memorial Fund Quarterly,
Vol. 44, No. 3, Pt. 2, 1966 (pp. 166–203)
8. HSMS AG Mission:
Develop and use modeling and
computer simulation resources with
a systems engineering-based
approach to design and evaluate
(system) solutions that will improve
patient safety, quality of care, and
cost effectiveness in healthcare.
9. Membership
Group was founded in Orlando during
IMSH 2013 with 30 members.
160 members on SSH Sim Connect
99 members on LinkedIn Group
10. Computer Simulation
Robert Pool, Science, Vol. 256, No. 5053 (Apr. 3, 1992)
“ Computation has become a ‘third branch’ of
science, alongside theory and experiment”
13. Recent Major Reports
Executive Office of the President President’s Council of
Advisors on Science and Technology: Report To The
President Better Health Care And Lower Costs:
Accelerating Improvement Through Systems
Engineering (May 2014)
National Science Foundation: Operations Research - A
Catalyst for Engineering Grand Challenges (May 2014)
The ASQ Healthcare Division Marshall Plan: "Put Me In
The Game, Coach! ” (The Quality Management Forum,
Winter 2014)
14. Please join us
LinkedIn Group
goo.gl/PRIkog
Group Survey
goo.gl/GLd9O2
Group website goo.gl/DCbgG2
15. Disclosures
The views and opinions are expressed in following
presentations are presenters’ own, not representative
of Society of Simulation of Healthcare(SSH),
International Meeting on Simulation in Healthcare
(IMSH),or Healthcare Systems Modeling and
Simulation Affinity Group (HSMSAG)