Bio

Clinical Focus


  • Pediatrics

Academic Appointments


Professional Education


  • Board Certification: Pediatrics, American Board of Pediatrics (2019)
  • Residency:Stanford University Pediatric Residency (2019) CA
  • Medical Education:Yale School Of Medicine Office of Student Affairs (2016) CT

Publications

All Publications


  • Challenges with Patient Adoption of Automated Integration of Blood Glucose Meter Data in the Electronic Health Record. Diabetes technology & therapeutics Weatherly, J., Kishnani, S., Aye, T. 2019

    Abstract

    Providers often encourage patients with type 1 diabetes (T1D) to contact them with blood glucose (BG) values between visits. However, patients and families find it cumbersome to share their BG values with clinical providers, creating a barrier to communication. Although many phone applications exist to help patients track BG values, most do not integrate with the electronic health record (EHR). Recent advances in technology can integrate the glucose meter (GM) data into the EHR. This pilot and feasibility study aimed to understand how an automated integration system (AIS) of GM data into the EHR and remote monitoring by health care providers would impact patient-provider communication. Patients or parents of patients with T1D (n=32, average HgbA1c 8.5% SD 1.7, average age 13.9 years SD 3.8) who owned an Apple iPodŽ or iPhoneŽ (5s or higher) participated, and their number of contacts via telephone calls or MyChart? messages between clinic visits was recorded during each of the 3 phases: run-in, intervention, and learned. Twenty-eight families completed all phases, and despite guided review of BG trends and automated integration of BG values, the number of patient-initiated calls (p=0.23) and HgbA1c values (p=0.08) did not improve, nor was there a clinically significant change in the number of BG checks per day. Barriers to adoption and effectiveness of this technology exist, and patient motivation is still needed.

    View details for DOI 10.1089/dia.2019.0178

    View details for PubMedID 31335195

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