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Observational Studies In A Learning Health System


Observational Studies In A Learning Health System
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Observational Studies In A Learning Health System


Observational Studies In A Learning Health System
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Author : A Learning Health System Activity
language : en
Publisher: National Academies Press
Release Date : 2013-12-16

Observational Studies In A Learning Health System written by A Learning Health System Activity and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-16 with Medical categories.


Clinical research strains to keep up with the rapid and iterative evolution of medical interventions, clinical practice innovation, and the increasing demand for information on the clinical effectiveness of these advancements. In response to the growing availability of archived and real-time digital health data and the opportunities this data provides for research, as well as the increasing number of studies using prospectively collected clinical data, the Institute of Medicine\'s Roundtable on Value & Science-Driven Health Care convened a workshop on Observational Studies in a Learning Health System. Participants, including experts from a wide range of disciplines - clinical researchers, statisticians, biostatisticians, epidemiologists, health care informaticians, health care analytics, research funders, health products industry, clinicians, payers, and regulators - explored leading edge approaches to observational studies, charted a course for the use of the growing health data utility, and identified opportunities to advance progress. Workshop speakers and individual participants strove to identify stakeholder needs and barriers to the broader application of observational studies. Observational Studies in a Learning Health Systemis the summary of the workshop. This report explores the role of observational studies in the generation of evidence to guide clinical and health policy decisions. The report discusses concepts of rigorous observational study design and analysis, emerging statistical methods, and opportunities and challenges of observational studies to complement evidence from experimental methods, treatment heterogeneity, and effectiveness estimates tailored toward individual patients.



Observational Studies In A Learning Health System


Observational Studies In A Learning Health System
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Author : Observational Studies in a Learning Health System (Workshop)
language : en
Publisher:
Release Date : 2013

Observational Studies In A Learning Health System written by Observational Studies in a Learning Health System (Workshop) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Clinical medicine categories.


"Clinical research strains to keep up with the rapid and iterative evolution of medical interventions, clinical practice innovation, and the increasing demand for information on the clinical effectiveness of these advancements. In response to the growing availability of archived and real-time digital health data and the opportunities this data provides for research, as well as the increasing number of studies using prospectively collected clinical data, the Institute of Medicine's Roundtable on Value & Science-Driven Health Care convened a workshop on Observational Studies in a Learning Health System. Participants, including experts from a wide range of disciplines - clinical researchers, statisticians, biostatisticians, epidemiologists, health care informaticians, health care analytics, research funders, health products industry, clinicians, payers, and regulators - explored leading edge approaches to observational studies, charted a course for the use of the growing health data utility, and identified opportunities to advance progress. Workshop speakers and individual participants strove to identify stakeholder needs and barriers to the broader application of observational studies. Observational Studies in a Learning Health System is the summary of the workshop. This report explores the role of observational studies in the generation of evidence to guide clinical and health policy decisions. The report discusses concepts of rigorous observational study design and analysis, emerging statistical methods, and opportunities and challenges of observational studies to complement evidence from experimental methods, treatment heterogeneity, and effectiveness estimates tailored toward individual patients"--Publisher's description.



The Learning Healthcare System


The Learning Healthcare System
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2007-06-01

The Learning Healthcare System written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-01 with Medical categories.


As our nation enters a new era of medical science that offers the real prospect of personalized health care, we will be confronted by an increasingly complex array of health care options and decisions. The Learning Healthcare System considers how health care is structured to develop and to apply evidence-from health profession training and infrastructure development to advances in research methodology, patient engagement, payment schemes, and measurement-and highlights opportunities for the creation of a sustainable learning health care system that gets the right care to people when they need it and then captures the results for improvement. This book will be of primary interest to hospital and insurance industry administrators, health care providers, those who train and educate health workers, researchers, and policymakers. The Learning Healthcare System is the first in a series that will focus on issues important to improving the development and application of evidence in health care decision making. The Roundtable on Evidence-Based Medicine serves as a neutral venue for cooperative work among key stakeholders on several dimensions: to help transform the availability and use of the best evidence for the collaborative health care choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and, ultimately, to ensure innovation, quality, safety, and value in health care.



Observation In Health And Social Care


Observation In Health And Social Care
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Author : Clare Parkinson
language : en
Publisher: Jessica Kingsley Publishers
Release Date : 2017-07-21

Observation In Health And Social Care written by Clare Parkinson and has been published by Jessica Kingsley Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-21 with Medical categories.


Examining and exploring new approaches to therapeutic observation in health and social care, this multidisciplinary guide discusses and analyses its uses in a range of practical contexts with children, families and adults. Developing good observation skills is paramount to sustaining relationships in the challenging settings that health and social care professionals find themselves in. This guide shows how observation is taught, applied in practice, and how it will be returned to throughout professionals' careers. Drawing on psychoanalytic ideas and theories of human development as a base for professional learning, the experienced editors and authors offer theoretically informed models to teach observation skills in professional programmes, helping their readers prepare for successful intervention in any setting.



Big Data Analytics For Healthcare


Big Data Analytics For Healthcare
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Author : Pantea Keikhosrokiani
language : en
Publisher: Academic Press
Release Date : 2022-05-19

Big Data Analytics For Healthcare written by Pantea Keikhosrokiani and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-19 with Medical categories.


Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems



Electronic Health Records And Medical Big Data


Electronic Health Records And Medical Big Data
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Author : Sharona Hoffman
language : en
Publisher: Cambridge University Press
Release Date : 2016-12-07

Electronic Health Records And Medical Big Data written by Sharona Hoffman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-07 with Law categories.


This book helps readers gain an in-depth understanding of electronic health record (EHR) systems, medical big data, and the regulations that govern them. It analyzes both the shortcomings and benefits of EHR systems, exploring the law's response to the creation of these systems, highlighting gaps in the current legal framework, and developing detailed recommendations for regulatory, policy, and technological improvements. Electronic Health Records and Medical Big Data addresses not only privacy and security concerns but also other important challenges, such as those related to data quality and data analysis. In addition, the author formulates a large body of recommendations to improve the technology's safety, security, and efficacy for both clinical and secondary (such as research) uses of medical data.



Integrating Research And Practice


Integrating Research And Practice
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2015-03-04

Integrating Research And Practice written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-04 with Medical categories.


Health care has been called one of the most complex sectors of the U.S. economy. Driven largely by robust innovation in treatments and interventions, this complexity has created an increased need for evidence about what works best for whom in order to inform decisions that lead to safe, efficient, effective, and affordable care. As health care becomes more digital, clinical datasets are becoming larger and more numerous. By realizing the potential of knowledge generation that is more closely integrated with the practice of care, it should be possible not only to produce more usable evidence to inform decisions, but also to increase the efficiency and decrease the costs of doing clinical research. Patient-Centered Clinical Research Network, or PCORnet, is a nation-wide patient-centered clinical research network intended to form a resource of clinical, administrative, and patient data that can be used to carry out observational and interventional research studies and enhance the use of clinical data to advance the learning health care system. The primary goal of the first phase of PCORnet will be to establish the data infrastructure necessary to do such research. In April and June 2014 the Institute of Medicine's Roundtable on Value and Science-Driven Health Care convened two workshops aimed at accelerating progress toward real-time knowledge generation through the seamless integration of clinical practice and research, one of the fundamental concepts of a continuously learning health system, centered on the development of the PCORnet. The first workshop brought together health care system leaders, both administrative and clinical, and researchers to consider issues and strategic priorities for building a successful and durable clinical research network and facilitate progress toward a continuously learning health care system more broadly, including issues related to science, technology, ethics, business, regulatory oversight, sustainability, and governance. The second workshop focused on implementation approaches. Health system CEOs convened to consider strategic priorities and explore approaches to implementation. These workshops will inform the decisions of field leaders moving forward, including PCORI, the PCORnet steering committee, and PCORnet grantees. Integrating Research and Practice is the summary of the presentations and discussions of the workshops.



Implementing And Evaluating Genomic Screening Programs In Health Care Systems


Implementing And Evaluating Genomic Screening Programs In Health Care Systems
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2018-05-16

Implementing And Evaluating Genomic Screening Programs In Health Care Systems written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-16 with Medical categories.


Genomic applications are being integrated into a broad range of clinical and research activities at health care systems across the United States. This trend can be attributed to a variety of factors, including the declining cost of genome sequencing and the potential for improving health outcomes and cutting the costs of care. The goals of these genomics-based programs may be to identify individuals with clinically actionable variants as a way of preventing disease, providing diagnoses for patients with rare diseases, and advancing research on genetic contributions to health and disease. Of particular interest are genomics- based screening programs, which will, in this publication, be clinical screening programs that examine genes or variants in unselected populations in order to identify individuals who are at an increased risk for a particular health concern (e.g., diseases, adverse drug outcomes) and who might benefit from clinical interventions. On November 1, 2017, the National Academies of Sciences, Engineering, and Medicine hosted a public workshop to explore the challenges and opportunities associated with integrating genomics-based screening programs into health care systems. This workshop was developed as a way to explore the challenges and opportunities associated with integrating genomics-based programs in health care systems in the areas of evidence collection, sustainability, data sharing, infrastructure, and equity of access. This publication summarizes the presentations and discussions from the workshop.



Large Simple Trials And Knowledge Generation In A Learning Health System


Large Simple Trials And Knowledge Generation In A Learning Health System
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2013-12-05

Large Simple Trials And Knowledge Generation In A Learning Health System written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-05 with Medical categories.


Randomized clinical trials (RCTs) are often referred to as the "gold standard" of clinical research. However, in its current state, the U.S. clinical trials enterprise faces substantial challenges to the efficient and effective conduct of research. Streamlined approaches to RCTs, such as large simple trials (LSTs), may provide opportunities for progress on these challenges. Clinical trials support the development of new medical products and the evaluation of existing products by generating knowledge about safety and efficacy in pre- and post-marketing settings and serve to inform medical decision making and medical product development. Although well-designed and -implemented clinical trials can provide robust evidence, a gap exists between the evidence needs of a continuously learning health system, in which all medical decisions are based on the best available evidence, and the reality, in which the generation of timely and practical evidence faces significant barriers. Large Simple Trials and Knowledge Generation in a Learning Health System is the summary of a workshop convened by the Institute of Medicine's Roundtable on Value & Science-Driven Health Care and the Forum on Drug Discovery, Development, and Translation. Experts from a wide range of disciplines-including health information technology, research funding, clinical research methods, statistics, patients, product development, medical product regulation, and clinical outcomes research-met to marshal a better understanding of the issues, options, and approaches to accelerating the use of LSTs. This publication summarizes discussions on the potential of LSTs to improve the speed and practicality of knowledge generation for medical decision making and medical product development, including efficacy and effectiveness assessments, in a continuously learning health system. Large Simple Trials and Knowledge Generation in a Learning Health System explores acceleration of the use of LSTs to improve the speed and practicality of knowledge generation for medical decision making and medical product development; considers the concepts of LST design, examples of successful LSTs, the relative advantages of LSTs, and the infrastructure needed to build LST capacity as a routine function of care; identifies structural, cultural, and regulatory barriers hindering the development of an enhanced LST capacity; discusses needs and strategies in building public demand for and participation in LSTs; and considers near-term strategies for accelerating progress in the uptake of LSTs in the United States.



Real World Evidence Generation And Evaluation Of Therapeutics


Real World Evidence Generation And Evaluation Of Therapeutics
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2017-07-05

Real World Evidence Generation And Evaluation Of Therapeutics written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-05 with Medical categories.


The volume and complexity of information about individual patients is greatly increasing with use of electronic records and personal devices. Potential effects on medical product development in the context of this wealth of real-world data could be numerous and varied, ranging from the ability to determine both large-scale and patient-specific effects of treatments to the ability to assess how therapeutics affect patients' lives through measurement of lifestyle changes. In October 2016, the National Academies of Sciences, Engineering, and Medicine held a workshop to facilitate dialogue among stakeholders about the opportunities and challenges for incorporating real-world evidence into all stages in the process for the generation and evaluation of therapeutics. Participants explored unmet stakeholder needs and opportunities to generate new kinds of evidence that meet those needs. This publication summarizes the presentations and discussions from the workshop.