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Clinical Evidence That Drives Better Care

Explore peer‑reviewed, real‑world studies behind Tidepool. From transforming population health with TIDE to enabling safe, interoperable therapy with Tidepool Loop, the evidence is clear: Tidepool helps teams deliver more efficient, higher‑quality diabetes care.

Tidepool+ TIDE

Transforming Proactive Care & Population Health

Validated at scale, Tidepool+ TIDE reshapes how clinics manage diabetes data — enabling proactive outreach, stronger outcomes, and dramatically improved efficiency.

TIDE was developed in collaboration with Stanford and has been proven effective across populations in peer-reviewed studies.

1.1
%

Average reduction in A1c1

8.8
%

Increased Time in Range (TIR)3

87
%

Less provider screen time2

147
%

Increased clinic capacity3

Making proactive care sustainable

Health economic analysis demonstrating how TIDE care programs can be capacity-neutral and revenue‑positive under RPM reimbursement models.

Tidepool Loop

Real‑World Evidence for Interoperable AID

Tidepool Loop provides a pathway for community innovations to move safely into commercial care — with the clinical evidence to prove it.

Women’s Health

Driving equity and addressing unmet needs

Through the Tidepool Period Project, we are committed to reducing the gaps in data dedicated to addressing the standards of care and lived experiences of women+ living with diabetes.

We support academic and researcher partners with robust diabetes and reproductive data sets to power more specific research questions about how diabetes uniquely impacts women.

Unlock the power of data!

Tidepool puts high-quality, real-world diabetes device data at your fingertips. Whether you’re an academic, researcher, or industry innovator, our team is here to help figure out how our datasets can fit into your research goals.

1. Kim, G.Y.K., Rostosky, R., Bishop, F.K. et al. The adaptation of a single institution diabetes care platform into a nationally available turnkey solution. npj Digit. Med. 7, 311 (2024). https://doi.org/10.1038/s41746-024-01319-x

2. Scheinker D, Prahalad P, Johari R, Maahs DM, Majzun R. A New Technology-Enabled Care Model for Pediatric Type 1 Diabetes. NEJM Catalyst. 2022;3(5). doi:https://doi.org/10.1056/cat.21.0438

3. Ferstad JO, Vallon JJ, Jun D, et al. Population‐level management of type 1 diabetes via continuous glucose monitoring and algorithm‐enabled patient prioritization: Precision health meets population health. Pediatric Diabetes. 2021;22(7):982-991. doi:https://doi.org/10.1111/pedi.13256