John Taylor, Professor of Economics at Stanford University and developer of the "Taylor Rule" for setting interest rates | Stanford University
John Taylor, Professor of Economics at Stanford University and developer of the "Taylor Rule" for setting interest rates | Stanford University
Artificial intelligence is proving its worth as an assistant for physicians, but a recent study from Stanford Medicine highlights its potential as a facilitator for enhancing collaboration between doctors and nurses.
The study, published in JAMA Internal Medicine, showcases an AI-based model at Stanford Hospital that predicts patient decline and alerts physicians and nurses accordingly. Ron Li, MD, a clinical associate professor of medicine, discussed the impact of the AI system on clinician collaboration and patient care.
The algorithm used in the model collects data from vital signs, electronic health records, and lab results to predict patient deterioration in near-real time. This information is then used to calculate a risk score, prompting alerts to the care team when intervention is necessary.
Dr. Li emphasized the significance of AI in fostering resilient health systems through improved communication channels. The model serves as a tool to standardize communication between nurses and physicians, ensuring timely interventions to prevent patients from deteriorating and requiring intensive care.
The implementation and evaluation of the AI model involved adjustments to focus on predicting ICU transfers and other indicators of health decline. The study demonstrated a 10.4% decrease in deterioration events among patients with high-risk scores, emphasizing the collaborative efforts of nurses and physicians in patient care.
While the integration of the AI model has received positive feedback, concerns about alert fatigue have been raised due to false alarms. Dr. Li acknowledged the imperfections of the model but highlighted its effectiveness in initiating crucial conversations between healthcare providers.
Continuous efforts are underway to enhance the accuracy of the AI model to build trust among clinicians and further improve patient outcomes. The study at Stanford Hospital exemplifies how AI can facilitate physician and nurse collaboration to deliver more efficient and effective patient care.
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