Secondary Analysis of Electronic Health Records
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Beschreibung
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients.
Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence.
The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizableto every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Written with the aim of promoting an inter-disciplinary and ethical approach to health data analytics Teaches how all clinicians, with the help of data scientists, will share the responsibility of growing the knowledge base and transforming practice to improve care Shows how Big Data in Healthcare is ushering in the era of precision medicine and ethically sound decision making in healthcare Includes supplementary material: sn.pub/extras
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MIT Critical Data
Themen in »Secondary Analysis of Electronic Health Records«
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