Gamification for Machine Learning in Surgical Patient Engagement

Patients and their surgeons face a complex and evolving set of choices in the process of shared decision making. The plan of care must be tailored to individual patient risk factors and values, though objective estimates of risk can be elusive, and these risk factors are often modifiable and can alt...

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Bibliographic Details
Published in:Frontiers in surgery 2022-04, Vol.9, p.896351-896351
Main Authors: Balch, Jeremy A, Efron, Philip A, Bihorac, Azra, Loftus, Tyler J
Format: Article
Language:English
Subjects:
decision support
gamification
machine learning and AI
serious game
shared decision making
Surgery
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Summary:Patients and their surgeons face a complex and evolving set of choices in the process of shared decision making. The plan of care must be tailored to individual patient risk factors and values, though objective estimates of risk can be elusive, and these risk factors are often modifiable and can alter the plan of care. Machine learning can perform real-time predictions of outcomes, though these technologies are limited by usability and interpretability. Gamification, or the use of game elements in non-game contexts, may be able to incorporate machine learning technology to help patients optimize their pre-operative risks, reduce in-hospital complications, and hasten recovery. This article proposes a theoretical mobile application to help guide decision making and provide evidence-based, tangible goals for patients and surgeons with the goal of achieving the best possible operative outcome that aligns with patient values.
ISSN:2296-875X
2296-875X
DOI:10.3389/fsurg.2022.896351