Managing Insulin With a Voice AI

Not Recruiting

Trial ID: NCT05081011


This study randomizes participants to have their basal insulin titrated either through standard of care or by receiving prompts through interactions with an AI-enabled smart speaker device. The primary objective of this study is to investigate the feasibility of an AI-enabled smart speaker device and whether such a device facilitates insulin titration management, increases insulin adherence and decreases time to optimal insulin dose. The secondary objective of the study is to explore whether the device improves glycemic control as defined by improvements in fasting blood sugar.

Official Title

Using an AI-based Voice Assistant to Manage Insulin in Diabetes: a Randomized-Control Trial

Stanford Investigator(s)

Kevin Schulman

Professor of Medicine (Hospital Medicine), by courtesy, of Health Policy and of Operations, Information and Technology at the Graduate School of Business

Ashwin K Nayak

Clinical Assistant Professor, Medicine

Sharif Vakili, MD, MBA, MS
Sharif Vakili, MD, MBA, MS

Clinical Assistant Professor, Medicine - Primary Care and Population Health


Inclusion Criteria:

   - Patients with Type 2 Diabetes

   - Patients clinically indicated to be taking daily long-acting insulin

   - Patients currently taking long-acting insulin but necessitating active dose

Exclusion Criteria:

   - Patients who do not speak English

   - Patients who do not own a smart phone

   - Patients who do not have stable wireless internet connection at home


device: Voice Assistant Device

Not Recruiting

Contact Information

Stanford University
School of Medicine
300 Pasteur Drive
Stanford, CA 94305
Study Team