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Related Experiment Video

Updated: Jun 11, 2026

New Features in Visual Dynamics 3.0
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Published on: August 9, 2024

Developing web-based online support tools: the Dartmouth decision support software.

Steven B Andrews1, Tyler Drake, William Haslett

  • 1Psychiatric Research Center, Dartmouth College, Lebanon, NH 03766, USA. sba1837@dartmouth.edu

Psychiatric Rehabilitation Journal
|July 10, 2010
PubMed
Summary
This summary is machine-generated.

Web-based decision support tools aid shared decision-making for individuals with serious mental illnesses. An online platform enables researchers to build and deploy these tools, supporting preference-sensitive decisions in mental healthcare research.

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Area of Science:

  • Health Informatics
  • Mental Health Research
  • Decision Science

Background:

  • Shared decision-making is crucial for individuals with serious mental illnesses.
  • Existing decision support tools have limitations in research applications.
  • Web-based tools offer potential for enhanced patient-clinician collaboration.

Purpose of the Study:

  • To discuss the development of web-based online decision support tools for serious mental illness research.
  • To describe the background and utility of decision support tools in psychiatric care.
  • To introduce a novel software platform for building decision support systems.

Main Methods:

  • Development of web-based decision support tools.
  • Description of a software platform for system design.
  • Focus on facilitating shared decision-making processes.

Main Results:

  • Online decision support tools are valuable for preference-sensitive decisions in mental health.
  • The novel platform allows for rapid deployment of research sites.
  • Facilitates ongoing research in shared decision-making.

Conclusions:

  • Web-based decision support tools are effective for research in serious mental illness.
  • The online designer tool accelerates the creation of research platforms.
  • Supports continued research advancements in shared decision-making for mental health populations.