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Updated: Jun 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

A pilot study testing a medication algorithm to reduce polypharmacy.

L A Mistler¹, T A Mellman, R E Drake

¹Department of Psychiatry, Dartmouth Medical School, Hanover, New Hampshire, USA. lisa.a.mistler@dartmouth.edu

Quality & Safety in Health Care

|February 11, 2009

Summary

This summary is machine-generated.

This study shows that reducing polypharmacy in psychiatric patients during hospitalization is feasible. A collaborative approach successfully decreased medication, without impacting symptom severity or stay duration.

Related Experiment Videos

Last Updated: Jun 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

Psychiatry
Clinical Pharmacology

Background:

Polypharmacy is prevalent in severe mental illness treatment but lacks evidence-based support.
Acute psychiatric hospitalization often involves adding medications, contributing to polypharmacy.

Purpose of the Study:

To investigate the feasibility of reducing polypharmacy in patients with severe mental illness during acute psychiatric hospitalization.
To evaluate a medication-reduction algorithm based on evidence and collaborative care principles.

Main Methods:

A feasibility pilot study employed a matched case-control design.
Twelve patients were treated with a medication-reduction algorithm, compared to 12 controls receiving usual care.

Main Results:

Patients treated with the intervention were discharged on significantly fewer medications compared to the control group.
No significant differences were observed in symptom reduction or length of hospital stay between the groups.

Conclusions:

A collaborative strategy for medication reduction can effectively decrease polypharmacy in psychiatric inpatients.
This approach may help reverse the common practice of adding medications during hospitalization.