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AI Technology Aids in Care of Diabetes Patients Needing Complex Drug Treatment

Hitachi, University of Utah Health, and Regenstrief Institute have developed a method to check the efficacy of various drug combinations and help doctors decide on the right treatment plan for their patients.

Hitachi Ai Grouping Patients, Tuesday

Hitachi, University of Utah Health, and Regenstrief Institute have 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.

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.

Hitachi, U of U Health, and Regenstrief researchers partnered to develop and test a new artificial intelligence (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.

The new AI method initially groups patients with similar disease states and then analyzes their treatment patterns and clinical outcomes. It then matches the patient of interest to the disease state groups and predicts the range of potential outcomes for the patient depending on various treatment options. The researchers evaluated how well the method worked in predicting successful outcomes given drug regimens administered to patients with diabetes in Utah and Indiana. The algorithm was able to support medication selection for more than 83% of patients, even when two or more medications were used together.

In the future, the research team expects to help patients with diabetes who require complex treatment in checking the efficacy of various drug combinations and, then, with their doctors, deciding on a treatment plan that is right for them. This will lead not only to better management of diabetes but increased patient engagement, compliance, and quality of life. The three parties will continue to evaluate and improve the effectiveness of the new AI method and contribute to future patient care through further research in healthcare informatics. Hitachi will accelerate efforts, including the practical application of this technology through collaboration between its healthcare and IT business divisions and R&D group.


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