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Key Points Question Is an artificial intelligence platform able to accurately predict postoperative complications using automated real-time electronic health record data and mobile device outputs? Findings In this prognostic study… Click to show full abstract
Key Points Question Is an artificial intelligence platform able to accurately predict postoperative complications using automated real-time electronic health record data and mobile device outputs? Findings In this prognostic study of 74 417 inpatient surgical procedures involving 58 236 adult patients, random forest models using 135 features had the greatest overall discrimination and the best performance during prospective validation, matching surgeons’ predictive accuracy. Model outputs, including the top 3 risk factors associated with each postoperative complication, were exported to mobile devices with high speed and fidelity. Meaning This study’s findings suggest that accurate data-based predictions of postoperative complications that are integrated with clinical workflow have the potential to augment surgical decision-making.
Journal Title: JAMA Network Open
Year Published: 2022
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