Optimizing inpatient diabetes management with the diabetes dashboard

ABSTRACT Inpatient diabetes management presents a complex challenge that is distinct from outpatient management. This is due to acute changes in physiology, medication regimens, and eating patterns associated with hospitalization, alongside the condition's prevalent and variable nature. The conventional systems for managing glycemic control in hospital have been found lacking, with gaps in data integration, decision support, and timely intervention. Queensland Health's development and adoption of the Glucose Management View and the Glucose Assessment for Inpatients (GAIN) dashboard represents a significant leap forward. The TIDieR checklist and guide have been used to report the implementation of these two interventions. The Glucose Management View, available within an individual's electronic medical record, provides an overview of demographics, relevant medication details, pathology data, and blood glucose levels. This cohesive and intuitive interface enhances individual patient trend visibility and facilitates diabetes medication prescribing. GAIN consolidates all diabetes-related patient data within the hospital into a single interface, enabling clinicians to monitor glycemic status across the whole cohort in near real-time, promoting a proactive approach to diabetes management. The future of inpatient diabetes care looks toward the incorporation of machine learning and artificial intelligence (AI) to predict adverse events and streamline care further. However, significant gaps remain in the deployment of these technologies, indicating a need for more comprehensive development and testing of all phases of the AI lifecycle, before integration into clinical practice. Spanish abstract: http://links.lww.com/IJEBH/A308