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Decision Models and Technology Can Help Psychiatry Develop Biomarkers.

Daniel S Barron1,2,3,4, Justin T Baker5, Kristin S Budde1,3,6

  • 1Department of Psychiatry, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.

Frontiers in Psychiatry
|September 27, 2021
PubMed
Summary

Psychiatry struggles to find useful biomarkers because it lacks quantifiable clinical data and defined decision models. Digital tools could help by measuring behavior and enabling the evaluation of clinical decision-making strategies.

Keywords:
Bayesian inferencebiomarkerdecision modeldiagnosisdigital phenotypepsychiatry

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Area of Science:

  • Data Science
  • Decision Science
  • Psychiatry

Background:

  • Biomarkers are crucial for clinical decisions in many medical fields.
  • Psychiatry currently lacks clinically useful biomarkers.
  • Clinical data in psychiatry is often qualitative and lacks standardized decision models.

Purpose of the Study:

  • To explore why psychiatry cannot define clinically useful biomarkers.
  • To propose a framework for understanding phenotypic data and decision models.
  • To suggest how digital technologies can aid biomarker discovery in psychiatry.

Main Methods:

  • Conceptual framework development for phenotypic data and decision models.
  • Analysis of data and decision science principles applied to psychiatry.
  • Review of digital technologies for quantifying behavioral data.

Main Results:

  • Psychiatry's lack of quantitative data and operationalized decision models hinders biomarker definition.
  • Clinician decision models in psychiatry are often unquantified and empirically unevaluated.
  • Digital tools offer potential for quantifying clinical data and operationalizing decision models.

Conclusions:

  • Quantifying clinical data and operationalizing decision models are essential for defining useful psychiatric biomarkers.
  • Digital technologies can systematically collect behavioral data and evaluate decision models.
  • Adopting quantitative approaches can improve patient care and advance biomarker research in psychiatry.