Evaluating Advanced Technology for Patient-Specific Management of Type 1 Diabetes-Evaluating Advanced Technology for Patient-Specific Management of Type 1 Diabetes Back to Details Explicit Meta Data

Evaluating Advanced Technology for Patient-Specific Management of Type 1 Diabetes Back to Details Explicit Meta Data

Video Transcription

Video Summary

The clinical endocrinology update discussed advances in technology for managing type 1 diabetes, focusing on patient-specific management. A panel of experts from the Barbara Davis Center for Diabetes, including Dr. Akhtaruk and Greg Forlanza, shared insights on continuous glucose monitoring (CGM) and automated insulin delivery (AID) systems. A slide was presented showing the trend over five years indicating worsening A1Cs despite new technologies. However, the latest data from a QI collaborative suggested a positive trend with newer technologies. The discussion included the evolution and impact of continuous glucose monitors, highlighting improvements in accuracy and patient outcomes, such as reduced hospitalizations and emergency visits.<br /><br />Further elaboration on automated insulin delivery systems by Dr. Akhtaruk underscored their importance in managing diabetes across different age groups. He emphasized the benefits of various FDA-approved AID systems and the adjustments possible within these devices. Data from real-life studies demonstrated significant improvements in patient outcomes with these systems.<br /><br />Dr. Forlanza addressed the barriers to technology adoption, highlighting disparities in access due to socioeconomic factors. He advocated for a shift from gatekeeping to facilitating technology access. The session included real-life success stories, illustrating the transformative impact of early and strategic adoption of diabetes technologies.<br /><br />In conclusion, the session stressed the need to facilitate access to diabetes technologies, given their demonstrated benefits in improving glycemic control and patient quality of life. Future directions involved leveraging artificial intelligence to further automate and optimize diabetes management systems.

Keywords

type 1 diabetes

continuous glucose monitoring

automated insulin delivery

patient-specific management

Barbara Davis Center

A1C trends

FDA-approved systems

technology access disparities

glycemic control

artificial intelligence


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