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Clinical Research Informatics for Big Data and Precision Medicine
1Chunhua Weng, PhD, FACMI, Department of Biomedical Informatics, Columbia University, 622 W 168 Street, PH-20, New York, NY 10032, USA,
Yearbook of Medical Informatics
|November 11, 2016
Summary
Clinical Research Informatics (CRI) saw major growth in 2015 with electronic health records and data networks. Persistent challenges include data quality, access, and sustainability.
Area of Science:
- Clinical Research Informatics (CRI)
- Health Informatics
- Biomedical Data Science
Background:
- The year 2015 marked significant advancements and evolving trends within Clinical Research Informatics (CRI).
- Understanding these developments is crucial for navigating the future of clinical research.
Purpose of the Study:
- To review key events and developments in CRI during 2015.
- To identify and discuss emerging trends impacting CRI in the near future.
Main Methods:
- Selection of key publications and scientific community discussions from 2015.
- Consultation of an online living textbook for modern clinical trials.
- Relating new concepts to existing challenges for research continuity.
Main Results:
- Key 2015 highlights include increased adoption of electronic health records (EHR) and the development of clinical data research networks.
- These networks aim to integrate clinical research with care using EHR data for evidence generation.
- Persistent challenges in CRI involve data quality, integration, access, transparency, reproducibility, and infrastructure sustainability.
Conclusions:
- Big Data Analytics and Internet technologies are transforming global clinical research.
- Increased citizen engagement in science is also a key driver.
- The clinical research landscape is becoming more open and stakeholder-centered, involving patients, clinicians, researchers, and sponsors.
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