A User-Centered Glucose-Insulin Data Display for the Inpatient Setting.

Area of Science:

• * Clinical Informatics
• * Diabetes Management
• * Human-Computer Interaction

Background:

• * Inpatient management of insulin-dependent diabetes (IDD) presents significant cognitive challenges for clinicians.
• * Current electronic medical record (EMR) systems often fragment critical data, hindering effective insulin dose management.
• * Existing data displays are not optimized for the cognitive needs of clinicians managing IDD.

Purpose of the Study:

• * To develop user-centered data displays for capillary glucose and insulin dose information.
• * To simplify the presentation and visualization of essential data for treatment decisions in inpatient IDD.
• * To enhance clinicians' ability to optimize insulin dosing and reduce cognitive load and errors.

Main Methods:

• * Conceptualization and design of a prototype data display focused on user needs.
• * Emphasis on simplifying the visualization of key inpatient diabetes management data.
• * Iterative design process informed by cognitive load and error reduction principles.

Main Results:

• * A conceptual prototype for enhanced data display was developed.
• * The design aims to streamline information access for insulin management decisions.
• * Anticipated outcomes include reduced cognitive burden and fewer errors.

Conclusions:

• * User-centered design of EMR data displays can significantly improve inpatient IDD management.
• * Optimized visualization of glucose and insulin data is crucial for clinical decision-making.
• * Future implementation of such displays may enhance patient safety and care quality.