NIH-funded research NIH-funded research

Using clinic records to find people who could benefit from PrEP

Official title: Predictive Analytics and Clinical Decision Support to Improve PrEP Prescribing in Community Health Centers (PrEDICT)

Funded at Harvard Pilgrim Health Care, INC. · NIH-11144563 · Data updated 2026-11-12

A tool that uses clinic records to help community health center teams find and talk with people who could benefit from HIV prevention medicine (PrEP).

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionHarvard Pilgrim Health Care, INC.
NIH-funded
Lab location1 site (Canton, UNITED STATES)
Project startSeptember 6, 2023
Project endJuly 31, 2028
Funding year2025
Award (this year)$1,870,662
NIH project number4RF1MH133515-03
Project IDNIH-11144563 on NIH RePORTER

Who could benefit from this research

Could help

People without HIV who are at increased risk for HIV (based on behavior, partners, or clinical indicators) and who receive care at a participating community health center.

Less likely to help

People already living with HIV or those who do not receive care at participating clinics would not be eligible or likely to benefit from this project.

What this research studies

This project uses electronic health record data and machine-learning to flag patients who may be at higher risk of getting HIV and then gives your clinic team prompts and resources to start respectful PrEP conversations. The decision-support tool appears inside the clinic's EHR and includes talking scripts, prescribing guidance, and follow-up supports to help providers offer PrEP. The tool will be tested across community health centers using a cluster-randomized approach so clinics with and without the tool can be compared. The research team engaged patients and clinicians to design the tool so conversations about sexual health are handled sensitively.

Why it matters

Potential benefit: If successful, this could help more eligible patients learn about and start PrEP, reducing their risk of HIV infection.

How similar studies have gone: Previous work by the team used EHR data to predict new HIV diagnoses with good accuracy (AUC 0.84), and decision-support approaches have shown promise though they still need real-world testing in safety-net clinics.

Where this research is happening

  • Harvard Pilgrim Health Care, INC.
    Canton, United States
    Active

Researchers

  • Principal investigator: Marcus, Julia L. — Harvard Pilgrim Health Care, INC.
  • Study coordinator: Marcus, Julia L.

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.