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Clinical Research Informatics Contributions from 2015.

C Daniel1, R Choquet

  • 1Christel Daniel, MD, PhD, INSERM UMRS 1142 - WIND-DSI, - Assistance Publique - Hôpitaux de Paris, 05 rue Santerre, 75 012 Paris, France, Tel: +33 1 48 04 20 29, E-mail: christel.daniel@ aphp.fr.

Yearbook of Medical Informatics
|November 11, 2016
PubMed
Summary

This review highlights key 2015 Clinical Research Informatics (CRI) advancements, focusing on observational data analysis and the critical need to address biases. Researchers must navigate complex legal and ethical landscapes to balance data privacy with scientific discovery.

Keywords:
Medical informaticsbiomedical researchclinical research informaticspatient selectionphenotyping

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Area of Science:

  • Clinical Research Informatics (CRI)
  • Biomedical Data Science
  • Health Informatics

Background:

  • Clinical Research Informatics (CRI) is crucial for advancing medical research through technology.
  • Identifying pivotal research from a specific year aids in understanding field progression.

Purpose of the Study:

  • To summarize key contributions in Clinical Research Informatics (CRI) from 2015.
  • To identify and select the best papers published in CRI in 2015.

Main Methods:

  • Bibliographic search of PubMed using Clinical Research Informatics (CRI) terms.
  • Double-blind review and external peer review to select top papers.
  • Consensus meeting among editors and editorial team for final selection.

Main Results:

  • Four best papers were selected from 579 publications in CRI areas.
  • Selected papers cover CDISC ODM for case report forms, EHR data reuse, privacy-preserving EHR linkage, and big data legal/ethical issues.
  • Key themes include methods for clinical research, data sharing, re-use of healthcare data, patient engagement, privacy, and policy.

Conclusions:

  • A significant trend in 2015 CRI research is the analysis of observational data, emphasizing the need to account for biases and confounding factors.
  • Validation of predictive models requires careful consideration of data limitations.
  • Researchers must navigate complex legal requirements and ethical considerations to balance patient privacy with the promotion of scientific discovery.