Innovative AI Technology Aids Personalized Care for Diabetes Patients Needing Co… – Press Release

Tokyo and Salt Lake City, Indianapolis, Mar 25, 2022 – (JCN Newswire) – Hitachi, Ltd. (TSE: 6501), University of Utah Health (U of U Health), and Regenstrief Institute, Inc. (Regenstrief) today announced the development of an AI method to improve care for patients with type 2 diabetes mellitus who need complex treatment. One in 10 adults worldwide have been diagnosed with type 2 diabetes, but a smaller number require multiple medications to control blood glucose levels and avoid serious complications, such as loss of vision and kidney disease.

Image of the AI grouping patients and analyzing the treatment patterns & efficacy

For this smaller group of patients, physicians may have limited clinical decision-making experience or evidence-based guidance for choosing drug combinations. The solution is to expand the number of patients to support development of general principles to guide decision- making. Combining patient data from multiple healthcare institutions, however, requires deep expertise in artificial intelligence (AI) and wide-ranging experience in developing machine learning models using sensitive and complex healthcare data.

Hitachi, U of U Health, and Regenstrief researchers partnered to develop and test a new AI method that analyzed electronic health record data across Utah and Indiana and learned generalizable treatment patterns of type 2 diabetes patients with similar characteristics. Those patterns can now be used to help determine an optimal drug regimen for a specific patient.

Some of the results of this study are published in the peer-reviewed medical journal, Journal of Biomedical Informatics, in the article, “Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources”. (

Hitachi had been working with U of U Health for several years on development of a pharmacotherapy selection system for diabetes treatment(1) . However, the system was…