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Biomedical informatics meets data science: current state and future directions for interaction.

Philip R O Payne1, Elmer V Bernstam2, Justin B Starren3

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Summary
This summary is machine-generated.

Big data and data science (DS) offer significant biomedical advancements but raise ethical concerns. This report explores interactions between biomedical informatics and DS to foster collaboration and mutual benefit.

Keywords:
big databiomedical informaticsdata science

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Area of Science:

  • Biomedical Informatics
  • Data Science
  • Big Data Analytics

Background:

  • Increasing use of big data and data science (DS) in biomedical fields presents both opportunities and challenges.
  • Existing literature highlights benefits like accelerated discovery and improved decision-making, alongside ethical, legal, and social issues.
  • Biomedical informatics community recognizes parallels between DS challenges and their own field's experiences.

Purpose of the Study:

  • To summarize key issues discussed by the biomedical informatics community regarding interaction with big data and DS.
  • To propose a framework and agenda for advancing constructive collaboration between biomedical informatics and DS.

Main Methods:

  • Presentations and focus group discussions at the 2016 American College of Medical Informatics Winter Symposium.
  • Thematic analysis of outcomes from the symposium discussions.
  • Generation of recommendations based on the analysis.

Main Results:

  • Identified key issues at the intersection of biomedical informatics, big data, and DS.
  • Outlined current state and future directions for interaction and collaboration.
  • Developed recommendations for constructive engagement.

Conclusions:

  • Biomedical informatics and DS fields share common challenges and opportunities.
  • A structured approach is needed to facilitate collaboration for mutual benefit.
  • The proposed framework and agenda can guide future interactions and advancements.