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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Clinical Research Informatics for Big Data and Precision Medicine.

C Weng1, M G Kahn

  • 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
PubMed
Summary
This summary is machine-generated.

Clinical Research Informatics (CRI) saw major growth in 2015 with electronic health records and data networks. Persistent challenges include data quality, access, and sustainability.

Keywords:
Evidence-based medicinedata bankdata qualityelectronic health recordsindividualized medicinelearning health systempatient selection

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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.