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Clinical Research Computing
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Using a case study approach to prepare readers for the challenges of providing informatics and computing support for clinical research, this practical handbook covers the full range of relevant perspectives-technological, scientific, organizational, and managerial-for fully exploiting the opportunities created by clinical research computing

Table of Contents

1. Foreword 2. An Introduction to Clinical Research Concepts 3. Clinical Research Processes: Technological and Non-technological considerations 4. Core Informatics Technologies 5. Software for Patient Care vs. Software for Research Support: Similarities and Differences 6. Software for Research Data Capture, Storage: Using Clinical Research Information Systems 7. Data Security and Privacy Issues 8. Mobile Technologies 9. Using Electronic Health Record Technology to Support Research: Institutional and Personal Health Records 10. Data Resources: Clinical Repositories, Warehouses and Registries, Standards in Clinical Research 11. Big Data Analytics and Data Mining 12. Conclusions

About the Author

Dr. Nadkarni has been working in the field of biomedical informatics since 1989, with over 100 peer-reviewed publications in the field. He is the lead developer of TrialDB, an open-source clinical study data management system, which is used at multiple locations nationally and internationally. He is an Associate Editor of the Journal of the American Medical Informatics Association (JAMIA) since 2005, and was elected Fellow of the American College of Medical Informatics (ACMI) in 2002.

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