AI-Based App Improves Insulin Management for Type 2 Diabetes – Medriva

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AI-Based App Improves Insulin Management

A study published in JAMANetworkOpen has revealed the potential for artificial intelligence (AI) technology to revolutionize insulin management for individuals living with type 2 diabetes. The research, conducted at Stanford University, found that adults using an AI-based app to manage their basal insulin reached their optimal dose in less time than those receiving standard care.


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Voice-Based Conversational AI App

The AI app, which utilized voice-based conversational AI, not only facilitated participants in achieving their glycemic targets but also showed a significant improvement in diabetes-related emotional distress. Remarkably, the app helped users to reach their optimal insulin dose in just 15 days, in comparison to the 56 days taken by the standard of care group. This rapid attainment of optimal dose underscores the potential of AI in expediting diabetes management.

Improved Insulin Adherence

Another notable finding from the study was the improvement in insulin adherence among participants using the AI app. The AI group recorded a mean insulin adherence of 82.9%, a significant increase compared to the 50.2% recorded in the standard care group. This demonstrates how AI technology can not only enhance insulin management but also encourage adherence to prescribed insulin regimens, a critical aspect of managing type 2 diabetes.

AI in Diabetes Care and Cardiovascular Disease Prevention

Discussions at the World Congress Insulin Resistance, Diabetes & Cardiovascular Disease Conference emphasized the role of AI-based apps in managing basal insulin for type 2 diabetes as part of cardiovascular disease prevention strategies. The American Diabetes Association’s 2024 Standards of Care also incorporate new guidance on obesity management and cardiovascular disease screening for people with diabetes, further stressing the importance of innovative approaches in diabetes care.

Role of Clinical Decision Support Systems (CDSSs) in Diabetes Care

Besides AI apps, Clinical Decision Support Systems (CDSSs) have also shown promising results in diabetes care. A scoping review on the clinical applications of CDSSs in diabetes care highlighted their effectiveness and safety in improving diabetes care, particularly for physicians with limited experience and patients with restricted access to medical resources. The review found that CDSSs significantly improved patients’ blood glucose, blood pressure, and lipid profiles in most of the studies.


With the increasing global prevalence of type 2 diabetes and its associated cardiovascular risks, the integration of advanced technologies such as AI and CDSSs in diabetes management offers promising avenues for improved patient outcomes. Not only can these tools help patients reach their optimal insulin dose quicker, but they can also enhance adherence to insulin regimens, thus playing a vital role in comprehensive diabetes management.

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