AIDA is eHealth treatment support for Type 1 Diabetes that uses learning algorithms to better manage insulin dosing.

Project Overview

AIDA (Adapting Insulin Delivery to Activity) is a clinician-facing dashboard that gathers patient-reported activity data from continuous glucose monitors (CGMs), insulin pumps and activity trackers. AIDA then provides recommendations on diabetic care parameters (e.g. bolus rate) to primary care providers and research study coordinators who use these recommendations to follow-up with patients and manage care.

AIDA was launched in pediatric settings for a National Institute of Health (NIH) study in collaboration with Joslin Diabetes Center. AIDA aims to integrate with electronic health record (EHR) as a SMART on FHIR app in the future.

Healthcare Context

High physical activity during the daytime is associated with an increased risk of nocturnal hypoglycemia in patients with Type 1 Diabetes. Nocturnal hypoglycemia can lead to chronic fatigue, convulsions, poor sleep quality, mood changes and other symptoms in children.1 By automatically collecting data from CGMs, insulin pumps and activity trackers providers can take action beforehand, preempting hypoglycemia.2

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  1. Brunton, S. A. (2007). Nocturnal hypoglycemia: Answering the challenge with long-acting insulin analogs. MedGenMed Medscape General Medicine, Vol. 9, p. 38. WebMD/Medscape Health Network.
  2. Ortiz-Rubio, P., Oladunjoye, A., Agus, M. S. D., & Steil, G. M. (2018). Adjusting Insulin Delivery to Activity (AIDA) clinical trial: Effects of activity-based insulin profiles on glucose control in children with type 1 diabetes. Pediatric Diabetes, 19(8), 1451–1458.