(DOWNLOAD) "Observational Studies in a Learning Health System" by Claudia Grossmann, A Learning Health System Activity, Roundtable on Value and Science-Driven Health Care & Institute of Medicine " eBook PDF Kindle ePub Free
eBook details
- Title: Observational Studies in a Learning Health System
- Author : Claudia Grossmann, A Learning Health System Activity, Roundtable on Value and Science-Driven Health Care & Institute of Medicine
- Release Date : January 02, 2013
- Genre: Medical,Books,Professional & Technical,
- Pages : * pages
- Size : 1180 KB
Description
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.