Optimizing inpatient diabetes management with the diabetes dashboard

Area of Science:

• Clinical Informatics
• Diabetes Management
• Health Systems Engineering

Background:

• Inpatient diabetes management is complex due to physiological changes and fragmented care.
• Existing hospital glycemic control systems lack data integration and decision support.
• The prevalence of diabetes necessitates improved inpatient management strategies.

Purpose of the Study:

• To report the implementation of the Glucose Management View and Glucose Assessment for Inpatients (GAIN) dashboard.
• To evaluate the impact of these tools on inpatient diabetes care.
• To highlight advancements in electronic health record integration for diabetes management.

Main Methods:

• Utilized the TIDieR checklist and guide for implementation reporting.
• Developed and deployed the Glucose Management View within electronic medical records.
• Integrated hospital-wide diabetes data into the GAIN dashboard for real-time cohort monitoring.

Main Results:

• The Glucose Management View provides a cohesive patient data overview, enhancing trend visibility and prescribing.
• The GAIN dashboard enables near real-time, hospital-wide glycemic status monitoring.
• These tools facilitate a more proactive approach to inpatient diabetes management.

Conclusions:

• The Glucose Management View and GAIN dashboard represent significant advancements in inpatient diabetes care.
• Future directions include incorporating machine learning and AI for predictive analytics and streamlined care.
• Further development and testing of AI technologies are needed for safe clinical integration.