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Implementation of a Clinical Decision Support Tool for Postpartum Depression

NCT06818734 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 160

Last updated 2026-04-02

No results posted yet for this study

Summary

This study will evaluate the use of an automated process in the electronic health record (EHR) that will help providers to detect patients at risk of developing postpartum depression (PPD).

Conditions

Interventions

OTHER

Clinical Decision Support Tool

The CDS in and AI algorithm that will alert clinicians only if patients have high risk of developing PPD, and provide clinicians with risk score, risk factors, and anticipatory actions with an order set to assist with ordering. Clinicians will make the ultimate clinical judgement after receiving CDS aid, including taking no actions towards PPD prevention. Clinicians will manage patients per usual care, including initiating PPD prevention such as conducting referrals to nutrition and behavioral health, suggest educational readings through patient portals, or no actions. Clinicians in the intervention arm will refer patients based on the CDS.

Sponsors & Collaborators

  • Weill Medical College of Cornell University

    lead OTHER

Principal Investigators

  • Yiye Zhang, PhD · Weill Medical College of Cornell University

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-01
Primary Completion
2026-12-01
Completion
2026-12-01

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06818734 on ClinicalTrials.gov