70/100

Moderate evidence

GainPublished recordHealthGood Space

Identifying Patients for Cardiovascular Evaluation Using Artificial Intelligence and Team-Based Care in Ghana: The H-TRIAGE Study

Truvace record
TRV-2026-2465raw data (JSON)
Version
v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
sha256
51141e07658f…check it

Background: Cardiovascular diagnostic capacity is limited in many low-resource settings. We evaluated the HeartLINK Triage for Risk-Informed Allocation and Guided Evaluation (H-TRIAGE) index, a prespecified strategy combining clinical information and AI-enabled digital auscultation to prioritize cardiovascular evaluation. Methods: In this prospective study in Ghana (February-July 2026), consecutively enrolled adults underwent a standardized assessment by trained frontline nurses and community health workers. H-T…

The gain

In a prospective study of 3,800 adults in Ghana, a triage score built from symptoms, vital signs and an AI stethoscope, applied by nurses and community health workers, flagged who needed cardiologist-adjudicated evaluation and could defer roughly half of those assessed.

What this doesn’t fix

The allocation analysis was modeled rather than a real-world deployment, and external validation covered one held-out facility with 677 participants.

Sources

1 on file
  1. Circulation: Population Health and Outcomesdoi:10.1161/circoutcomes.126.014561
    Peer-reviewed2026-11-06

Cite this record

v1

Truvace Impact Record TRV-2026-2465, v1: “Identifying Patients for Cardiovascular Evaluation Using Artificial Intelligence and Team-Based Care in Ghana: The H-TRIAGE Study.” Truvace, 2026-11-11. /record/TRV-2026-2465 (accessed on the day you copy it). sha256 51141e07658fdad9…

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