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Project Description
Hospitalized patients with diabetes require daily management by a team of clinicians that must make daily insulin dosing decisions. While each decision is usually made according to standard algorithms, hundreds of such decisions must be made daily by a few providers leading to errors and burnout; this project will address this clinical burden by developing aiDose, a foundation model for inpatient diabetes management that can incorporate medical records and previous clinician notes to provide decision support for inpatient diabetes services.