Penn Medicine Deployed AI Clinical Tools

The health system has integrated OpenEvidence decision-support technology for more than 10,000 clinicians.

Updated on Sept. 27, 2026 in Artificial Intelligence

Isometric editorial illustration of a tiered, sculptural clinical research building structure with clean geometric volumes and neutral, saturated colors. — Penn Medicine has deployed OpenEvidence artificial intelligence tools across its seven hospitals to provide clinicians with real-time access to clinical research data. AI Illustration. Upload story photo >

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Penn Medicine has launched the use of OpenEvidence artificial intelligence tools across its seven hospitals. The initiative integrates medical literature directly into electronic health records to assist physicians with clinical decision-making.

Why it matters

The initiative seeks to expand the use of AI to improve clinical decision-making processes. By testing the tools across different operating conditions, the organization aims to evaluate how such technology adapts to varied clinical resources.

The clinical decision-support tools incorporate medical literature and electronic health record data to provide evidence-based insights within existing physician workflows.

The players

Penn Medicine

This Philadelphia-based health system operates seven hospitals and provides comprehensive academic medical care.

Botswana-UPenn Partnership

This long-standing collaboration between the University of Pennsylvania, the University of Botswana, and the Ministry of Health focuses on medical education and clinical support.

The details

The technology surfaces relevant clinical evidence in real-time to aid doctors during patient care. Penn Medicine is also exploring future integrations of these tools into its Penn Pathways program and its electronic consultation systems.

September 27, 2026: OpenEvidence AI tools were deployed across Penn Medicine.
25 years ago: The Botswana-UPenn Partnership was originally established.

The Big Picture

This deployment reflects a shift toward integrating digital decision-support tools into international health collaborations. It extends the clinical reach of the Botswana-UPenn Partnership by introducing advanced AI resources into cross-border medical efforts.

Clinicians will now access AI-driven insights directly within their existing digital workflows to inform care decisions. Patients may experience faster access to evidence-based medical recommendations during their hospital visits.

The takeaway

The integration of AI into clinical workflows aims to modernize how physicians synthesize massive amounts of medical literature during patient consultations. Continued evaluation of this technology will determine how effectively such tools improve care delivery in both high-resource and resource-constrained environments.