Establishment of a Diabetes-Tailored Data Intelligence Platform Enhances Clinical Care, Enables Risk-Based Monitoring, and Facilitates Population-Health-Based Approaches at a Pediatric Diabetes Network
The D-data dock is a novel approach to harnessing disparate data streams to improve patient care, enable timely interventions, and drive innovation to improve the lives and care of people with T1D.
Authors
- Juan Espinoza (ORCID: https://orcid.org/0000-0003-0513-588X)
- Mitchell S Barnes (ORCID: https://orcid.org/0009-0006-2339-6660)
- Harpreet Gill (ORCID: https://orcid.org/0000-0003-1216-825X)
- Mark A. Clements (ORCID: https://orcid.org/0000-0002-2368-0331)
- Brent Lockee (ORCID: https://orcid.org/0009-0008-3746-0541)
- Daniel R. Tilden (ORCID: https://orcid.org/0000-0002-0664-032X)
- Priya Prahalad (ORCID: https://orcid.org/0000-0002-3894-4344)
- Susana R. Patton (ORCID: https://orcid.org/0000-0002-8902-6965)
- Kelsey Panfil (ORCID: https://orcid.org/0000-0001-5530-0471)
- A Waghmode
- Emily DeWit (ORCID: https://orcid.org/0000-0001-7327-2988)
- Craig A. Vandervelden (ORCID: https://orcid.org/0000-0003-1185-7563)
- Erin M. Tallon (ORCID: https://orcid.org/0000-0003-1353-6632)
- David D. Williams (ORCID: https://orcid.org/0000-0003-0501-3751)
- Katie Noland
Institutions
- Lurie Children's Hospital (US)
- Children's Mercy Hospital (US)
- Palo Alto University (US)
- Nemours Children's Health System (US)
- University of Kansas Medical Center (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of Diabetes Science and Technology
- Published
- 2025-10-18
- DOI
- https://doi.org/10.1177/19322968251367776
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00