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A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

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A Web-based clinical decision support system for depression care management.

John C Fortney¹, Jeffrey M Pyne, Christopher A Steven

¹HSR&D Center for Mental Health and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA. fortneyjohnc@uams.edu

The American Journal of Managed Care

|February 26, 2011

Summary

A new Web-based decision support system, the Net Decision Support System (NetDSS), facilitates evidence-based depression care management. This system supports care managers in implementing collaborative care models with high fidelity, improving chronic care delivery.

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Area of Science:

Health Informatics
Clinical Decision Support Systems
Chronic Disease Management

Background:

Dissemination of evidence-based collaborative care for depression has been slow.
Implementation of collaborative care models often suffers from poor fidelity to evidence-based practices.
Depression care managers are central to the collaborative care model, necessitating effective support tools.

Purpose of the Study:

To inform the design of informatics systems for chronic care.
To describe the development and functionality of the Net Decision Support System (NetDSS) for depression collaborative care.
To facilitate the dissemination of evidence-based collaborative care models with high fidelity.

Main Methods:

Developed the NetDSS, a free Web-based decision support system.
Based NetDSS on intervention materials from a successful randomized trial of depression care management.
Employed a cross-functional design team including clinicians, IT specialists, and researchers.

Main Results:

NetDSS offers functionalities including patient registry, scheduling, trial management, decision support, progress note generation, and reporting.
The system guides care managers through patient encounters using evidence-based scripts and instruments.
NetDSS has supported evidence-based depression care for over 1700 primary care patients.

Conclusions:

Web-based decision support systems can effectively translate intervention protocols.
NetDSS facilitates high-fidelity implementation of evidence-based chronic care models into routine practice.
Informatics systems are crucial for advancing the chronic care model.