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March 12, 2018
Pharmacotherapy selection system supports shared clinician-patient decision-making in diabetes treatment
Pharmacotherapy decision support dashboard
Hitachi and University of Utah Health (U of U Health), a leading institution in electronic health records and interoperable clinical information systems research, today announced the joint development of a decision support system that allows clinicians and patients to choose from available pharmaceutical options for treating type-2 diabetes mellitus. The system uses machine-learning methods to predict the probability that a given medication regimen will achieve targeted hemoglobin A1c levels, a common indicator of disease control for diabetes.
The system compares medication regimens side-by-side, predicting efficacy, risk of side effects, and costs, in a way that is easy for both clinicians and patients to understand. The system is integrated with electronic health records using Health Level 7 (HL7®) interoperability standards, making it seamlessly available to clinicians and allowing for guidance that is personalized to the individual characteristics of the patient. By facilitating patient-clinician communication and supporting shared-decision making, the goal is to make sure that patients are fully engaged and committed to the treatment plan. Hitachi and U of U Health will pursue collaborative research aiming for clinical trials using this system.