Glooko Introduces the First and Only Pump Settings EHR Integration to Bring Insulin Pump Data Directly Into Clinical Workflows

Key Takeaways

• Glooko adds device‑agnostic pump settings to EHR flowsheets
• Eliminates up to 24 manual data entries per patient visit
• Enables structured data for future clinical decision support tools
• Supports integration with 200+ diabetes devices across major EHRs
• Improves documentation accuracy and reduces clinician workflow burden

Pulse Analysis

Insulin pump therapy has become a cornerstone of intensive diabetes management, yet the data it generates often lives in siloed apps, PDFs or screenshots. Clinicians must toggle between these sources and the electronic health record, manually copying up to two dozen configuration parameters for each visit. This fragmented workflow not only consumes valuable time but also introduces transcription errors that can affect dosing decisions. The broader industry has long recognized the need for a unified view of device data, especially as closed‑loop systems and hybrid closed‑loop algorithms gain traction.

Glooko’s new Pump Settings EHR Integration tackles the problem by inserting a device‑agnostic data layer that normalizes information from over 200 pumps and glucose monitors. The structured data appears directly in EHR flowsheets, allowing SmartText‑style documentation and real‑time visibility of basal schedules, insulin‑to‑carbohydrate ratios, sensitivity factors and closed‑loop status. By automating what was previously a manual, error‑prone process, the solution frees nurses, educators and physicians to focus on clinical interpretation rather than data entry. Moreover, the discrete data set creates a foundation for future analytics, such as algorithm‑driven alerts that flag suboptimal settings or predict hypoglycemia risk.

Beyond the immediate workflow gains, the integration signals a shift toward tighter interoperability between diabetes technology and health‑IT platforms. Health systems seeking to improve quality metrics and meet value‑based care benchmarks can now track pump parameters at the population level, supporting targeted quality‑improvement programs. Competitors that rely on fragmented portals may find themselves at a disadvantage as providers prioritize solutions that embed device data into the core clinical record. As the diabetes care ecosystem continues to evolve, Glooko’s approach positions it as a key enabler of data‑driven, patient‑centered care.