Integrating Human-AI Collaboration in ECG Analysis for Clinical Advancement.

StudyNEJM catalyst innovations in care delivery· 2026

Integrating Human-AI Collaboration in ECG Analysis for Clinical Advancement.

Xiaolin Diao, Yanni Huo, Jing Yuan … Wei Zhao

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AI Evaluation & GovernanceStudyClinical practiceQ2IF 2.8

Electrocardiogram diagnostic accuracy rose to 98.58% after human-artificial intelligence collaboration platform adoption.

Integrating Human-AI Collaboration in ECG Analysis for Clinical Advancement.

Xiaolin Diao … Wei Zhao

NEJM catalyst innovations in care delivery · 2026 · Q2 in Health Informatics

Background

Electrocardiogram (electrocardiogram) interpretation is fundamental to cardiovascular care, yet persistent human variability and escalating diagnostic demands hinder its reliability and scalability.

Results

Artificial intelligence assisted reads now nearly match expert-level diagnostic accuracy

96.76%

Pre-implementation (20

98.58%

Post-implementation (2

More results

SHAPE is designed to enhance electrocardiogram interpretation accuracy and efficiency and also pioneers a model for meaningful human-artificial intelligence collaboration in clinical practice.

Since its launch in 2022, SHAPE has yielded substantial clinical and operational gains.

More results

Even with a 50% reduction in dedicated reporting staff (from six to three between 2022 and 2025), per-physician productivity nearly doubled, driving the average daily interpretation volume from 272 to 504 reports.

“

Conclusion

As the platform scales beyond Fuwai Hospital, it offers a replicable blueprint for artificial intelligence integration to enhance care quality and clinician capacity.

Integrating Human-AI Collaboration in ECG Analysis for Clinical Advancement.

Integrating Human-AI Collaboration in ECG Analysis for Clinical Advancement.

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