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Advancing Patient Safety and Health Care Quality - Bridging Research, Policy, and Implementation.

Laura Sigman¹, Martin J Hatlie²

¹Executive Director for Strategic Solutions, Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, MD, USA.

NEJM Catalyst Innovations in Care Delivery

|July 15, 2026

Summary

Preventable harm in healthcare stems from diagnostic errors and system fragmentation. Strategies like real-time data and AI can enhance patient safety and quality of care.

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Area of Science:

Healthcare Quality and Safety
Medical Error Reduction
Patient-Centered Care

Background:

Preventable harm remains a significant challenge in healthcare, impacting patient safety and quality.
Key contributors include diagnostic errors, fragmented healthcare systems, and underreporting of patient safety events.

Purpose of the Study:

To highlight strategies for addressing gaps in healthcare safety and quality.
To identify methods for reducing preventable harm in patient care.

Main Methods:

Insights were gathered from the Advancing Patient Safety and Healthcare Quality symposium.
Strategies discussed include focusing on high-risk conditions, utilizing real-time patient-reported data, and applying AI-enabled tools.

Main Results:

Focusing on high-risk conditions can help mitigate harm.
Real-time patient-reported data and AI-enabled tools show promise in reducing harm.
Integrated systems design, human factors training, and patient engagement are crucial for lasting improvement.

Conclusions:

Achieving safer, patient-centered care requires a multifaceted approach.
Durable improvement necessitates integrated systems, human factors training, patient engagement, aligned incentives, and shared data infrastructure.