Clinical Research Computing. A Practitioner's Handbook

✍ Scribed by Prakash Nadkarni

Publisher: Academic Press
Year: 2016
Tongue: English
Leaves: 230
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Clinical Research Computing: A Practitioner’s Handbook deals with the nuts-and-bolts of providing informatics and computing support for clinical research. The subjects that the practitioner must be aware of are not only technological and scientific, but also organizational and managerial. Therefore, the author offers case studies based on real life experiences in order to prepare the readers for the challenges they may face during their experiences either supporting clinical research or supporting electronic record systems. Clinical research computing is the application of computational methods to the broad field of clinical research. With the advent of modern digital computing, and the powerful data collection, storage, and analysis that is possible with it, it becomes more relevant to understand the technical details in order to fully seize its opportunities.

Offers case studies, based on real-life examples where possible, to engage the readers with more complex examples
Provides studies backed by technical details, e.g., schema diagrams, code snippets or algorithms illustrating particular techniques, to give the readers confidence to employ the techniques described in their own settings
Offers didactic content organization and an increasing complexity through the chapters

✦ Table of Contents

Content:
Front matter,Copyright,ForewordEntitled to full textChapter 1 - An Introduction to Clinical Research Concepts, Pages 1-24
Chapter 2 - Supporting Clinical Research Computing: Technological and Nontechnological Considerations, Pages 25-47
Chapter 3 - Core Informatics Technologies: Data Storage, Pages 49-84
Chapter 4 - Core Technologies: Machine Learning and Natural Language Processing, Pages 85-114
Chapter 5 - Software for Patient Care Versus Software for Clinical Research Support: Similarities and Differences, Pages 115-128
Chapter 6 - Clinical Research Information Systems: Using Electronic Health Records for Research, Pages 129-142
Chapter 7 - Computer Security, Data Protection, and Privacy Issues, Pages 143-158
Chapter 8 - Mobile Technologies and Clinical Computing, Pages 159-171
Chapter 9 - Clinical Data Repositories: Warehouses, Registries, and the Use of Standards, Pages 173-185
Chapter 10 - Core Technologies: Data Mining and “Big Data”, Pages 187-204
Chapter 11 - Conclusions: The Learning Health System of the Future, Pages 205-216
Subject index, Pages 217-226

✦ Subjects

Medicine;Data processing;Clinics;Data processing;HEALTH & FITNESS;Holism;HEALTH & FITNESS;Reference;MEDICAL;Alternative Medicine;MEDICAL;Atlases;MEDICAL;Essays;MEDICAL;Family & General Practice;MEDICAL;Holistic Medicine;MEDICAL;Osteopathy

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