Using algorithms and computerized decision support systems to treat major depression.

Richard C. Shelton, Madhukar H. Trivedi

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The American Psychiatric Association practice guidelines for treating major depressive disorder advocate using measurement-based care and treatment algorithms, which have been shown to be effective strategies in improving patient outcomes. However, in practice, clinicians may avoid using algorithms and guidelines due to barriers such as lack of time, lack of staff support, and the perceived inflexibility of algorithms. Computerized decision support systems (CDSS) are one approach to increasing guideline adherence. A CDSS can make measurement-based care strategies accessible and user-friendly for physicians and staff, individualize treatment options according to each patient's circumstances, and provide guideline information at the point of care. In addition, a CDSS can be merged with electronic health record systems, which should simplify implementation and increase guideline adherence.

Original languageEnglish (US)
JournalThe Journal of clinical psychiatry
Volume72
Issue number12
StatePublished - Dec 2011

Fingerprint

Guideline Adherence
Depression
Point-of-Care Systems
Guidelines
Electronic Health Records
Major Depressive Disorder
Practice Guidelines
Physicians
Therapeutics

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Using algorithms and computerized decision support systems to treat major depression. / Shelton, Richard C.; Trivedi, Madhukar H.

In: The Journal of clinical psychiatry, Vol. 72, No. 12, 12.2011.

Research output: Contribution to journalArticle

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