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Designing Technologies for Value-based Mental Healthcare: Centering Clinicians' Perspectives on Outcomes Data

Daniel A Adler1, Yuewen Yang2, Thalia Viranda1

  • 1Information Science, Cornell Tech, New York, New York, USA.

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI Conference
|July 3, 2025
PubMed
Summary

Health information technologies are key for value-based mental healthcare. Clinicians emphasize aligning data for payment and care, leveraging technology for collection, and ensuring accountability among stakeholders.

Keywords:
digital biomarkersdigital mental healthdigital phenotypinghealth information technologyhealth servicesimplementation sciencemental healthpassive sensingqualitative researchuser-centered designvalue-based care

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Area of Science:

  • Digital Health
  • Mental Healthcare Informatics
  • Health Services Research

Background:

  • Value-based care models are increasingly adopted in mental healthcare, linking payment to quantifiable care outcomes.
  • Health information technologies (HIT) are central to this transformation, but challenges exist in data specification, user engagement, and care improvement.
  • Current HIT designs may not adequately support the nuanced data needs of value-based mental healthcare.

Purpose of the Study:

  • To explore the perspectives of mental health clinicians on designing HIT for value-based mental healthcare.
  • To identify optimal outcomes data for HIT in value-based payment programs.
  • To understand how HIT can facilitate data collection and accountability in mental healthcare.

Main Methods:

  • Qualitative study involving semi-structured interviews with 30 mental health clinicians in the U.S.
  • Exploration of clinicians' views on data specification, collection, and utilization within value-based care frameworks.
  • Analysis of clinician feedback on technology's role in financial accountability for mental health services.

Main Results:

  • Clinicians highlighted the need to align outcomes data for both payment and clinical care improvement.
  • Significant opportunities exist for HIT and personal devices to enhance patient engagement in data collection.
  • Clinicians identified key considerations for using outcomes data to ensure financial accountability among diverse stakeholders.

Conclusions:

  • Future HIT development must prioritize clinician input to effectively support value-based mental healthcare.
  • Integrating HIT for outcomes data collection and accountability is crucial for advancing value-based care in mental health.
  • Further research is needed to design and implement technologies that benefit all stakeholders in mental health service delivery.