Using emergency-department triage data, Devin Singh and colleagues developed AI models that can predict diagnoses and automatically order necessary tests, reducing waiting times significantly.
The study indicated that by implementing AI, around 22.3% of emergency visits could have expedited care, with nearly a 3-hour time reduction for tests.
Despite the promise of AI in healthcare, only 65 randomized controlled trials of AI interventions were published from 2020-2022, indicating a gap in testing and validation.
Healthcare organizations are increasingly turning to AI technologies to streamline patient care, yet the complexity of proper testing creates hurdles for real-world implementation.
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