Digital Health

Easing the Data Burden in Diabetes Care

Glooko

By Mark Clements, M.D., Ph.D. and Trisha Martinez , RN, BSN, MBA, Glooko

Health systems are not short on diabetes data. They are short on the time, workflows, and signal clarity needed to act on it.

That distinction matters. Continuous glucose monitoring (CGM), connected devices, remote uploads, insulin delivery data, and inpatient glucose trends are generating more information than ever before.

In Glooko’s latest Annual Diabetes Report, more than 60 billion CGM readings flowed through the platform in 2025, supported by more than 1 million active patients, 30,500 clinicians, 9,000 clinics, and a global footprint across 1,082 geographic locations.

  • The scale is no longer the story, but what health systems do with that scale is.

For leaders focused on digital transformation, the opportunity is to shift diabetes management from retrospective review to prioritized action.

  • Traditional measures such as Time in Range (TIR), Glucose Management Indicator (GMI), Time Below Range (TBR), and Time Above Range (TAR) remain essential, but they can obscure when risk occurs, how severe it is, and which patients need attention first.
  • Two patients may look similar by familiar metrics, yet one may face recurring overnight lows while another carries persistent daytime hyperglycemia.

The report’s overnight hypoglycemia analysis illustrates why this matters. Glooko’s model surfaced patients who appeared near target by common measures but had substantially higher overnight hypoglycemia exposure.

  • In validation across 586,549 patient weeks, the highest-risk group showed a 2.79x lift in identifying observed overnight hypoglycemia compared with baseline selection.
  • This is where digital transformation becomes clinical transformation: turning connected data into prioritized lists, cohort-level visibility, and workflows that help teams intervene between visits.

The same safety lens extends into the hospital. EndoTool provides an inpatient view of glycemic management, supporting individualized insulin dosing during complex episodes such as Diabetic Ketoacidosis (DKA) and Hyperosmolar Hyperglycemic State (HHS), renal impairment, steroid exposure, and changing nutrition status.

The Takeaway

The next chapter of diabetes care will not be defined by more dashboards. It will be defined by connected intelligence that helps health systems identify risk earlier, focus clinical attention, reduce cognitive burden, and support safer decisions across the hospital, clinic, and home.

Learn how Glooko is partnering with organizations like yours to transform diabetes care.

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