[Symposium] Artificial Intelligence and Precision Medicine (1)
20 Mar 2026
13:50
15:20
201DE
AI in Endocrinology
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13:50
14:20
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201DE
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14:20
14:50
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Yi-Jing ShenTaiwan
Speaker
Electronic Dashboard-Based Remote Glycemic Management Program Reduces Length of Stay and Readmission Rate among Hospitalized AdultsBackground: Inpatient dysglycemia is strongly associated with prolonged length of stay (LOS), increased readmission rates, and higher healthcare costs. Traditional consultation-based models are often insufficient for institution-wide glycemic quality improvement. With advances in electronic medical records (EMRs), real-time digital surveillance offers a scalable solution. We implemented a hospital-wide remote glycemic management program to evaluate its impact on glycemic control and clinical outcomes.
Methods: Building on our previously published framework, this institution-wide before-and-after study was conducted in a 1,500-bed tertiary medical center using data from 2016 to 2019 (106,528 hospitalized adults; 878,159 glucose measurements). The core intervention utilized an EMR-integrated dashboard to identify hyper-/hypoglycemia in real-time, enabling endocrinologists to provide daily virtual recommendations without formal consultation. Key components included automated risk stratification, real-time alerts, and department-specific performance feedback. Primary outcomes were LOS and 30-day readmission rates. Analyses were performed using Poisson and joinpoint regression with multivariable adjustment.
Results: Program implementation resulted in consistent and clinically significant improvements in hospital-wide glycemic metrics. Rapid improvement in treat-to-target rates was observed within 3–6 months of initiating virtual recommendations.
Clinical Outcomes: The program was associated with a significant reduction in LOS, independent of age, sex, and admission department. Notably, patients with high glucose variability exhibited the longest LOS, identifying glycemic instability as a key driver of resource utilization. Furthermore, 30-day readmission rates decreased significantly, particularly among patients achieving stable euglycemia.
Operational Efficiency & Pandemic Resilience: As glycemic quality improved, the time required for daily virtual recommendations decreased from ~2 hours to <1 hour. The program significantly reduced the need for formal consultations. Crucially, this established remote workflow proved vital during the COVID-19 pandemic, minimizing clinician exposure and preserving personal protective equipment (PPE) while maintaining high-quality glycemic care without disruption.
Conclusion: Integrating real-time EMR-based surveillance with remote endocrinologist-led intervention significantly improves inpatient glycemic control, translating into measurable reductions in LOS and 30-day readmission rates. This model has demonstrated sustained efficacy extending into the COVID-19 era and beyond, proving that an electronic dashboard-based system is a scalable, resilient, and resource-efficient strategy for modern hospital care.
201DE
|
|
14:50
15:20
|
201DE
|