Glooko Launches First-Ever Insulin Pump Settings EHR Integration to Streamline Clinical Workflows and Data Access
Glooko, Inc., a global digital health company focused on improving diabetes management and supporting clinicians in addressing glycemic safety across the full continuum of care, has announced the launch of its Insulin Pump Settings Electronic Health Record (EHR) Integration. The new capability, included in the company’s latest software release, represents a significant step forward in embedding device-generated insulin therapy data directly into clinical workflows.
The integration is designed to address a longstanding challenge in diabetes care: the fragmentation of insulin pump data across multiple external systems. For clinicians managing patients on insulin pump therapy, access to complete and accurate pump settings is essential for making informed treatment decisions. Key parameters such as basal insulin schedules, insulin-to-carbohydrate ratios, correction or insulin sensitivity factors, blood glucose target ranges, active insulin time, and closed-loop system status provide critical context for understanding how insulin is being delivered and how a patient’s therapy may need to be adjusted over time.
Historically, however, much of this information has been stored outside the electronic health record. Clinicians often rely on device-specific software platforms, exported PDFs, screenshots, or patient-provided reports to review pump settings. This fragmented approach has required significant manual effort, including toggling between systems, transcribing values into notes, or copying and pasting settings into clinical documentation. These inefficiencies not only increase administrative burden but also introduce the potential for transcription errors and outdated information entering the medical record.
Glooko’s new Pump Settings EHR Integration aims to eliminate these workflow inefficiencies by bringing structured, discrete insulin pump configuration data directly into the EHR environment. The system visualizes pump settings within EHR flowsheets and enables automatic inclusion of this data into clinical documentation using SmartText-style workflows, depending on the configuration of the EHR system in use. By embedding device data directly into the clinician’s primary workspace, the solution is intended to streamline diabetes care delivery and improve the quality and completeness of documentation.
According to Mark Clements, M.D., Ph.D., Chief Medical and Strategy Officer at Glooko, insulin pump settings represent the foundational source of truth for understanding insulin delivery in patients using pump therapy. He noted that clinicians have traditionally been required to manually document as many as two dozen distinct data points for each patient visit. By integrating this information alongside glucose trends and clinical notes within a single workflow, providers are able to shift their focus away from administrative data entry and toward clinical decision-making.
He further explained that the integration not only improves efficiency but also lays the groundwork for more advanced clinical decision support in the future. With structured, discrete pump settings data now available within the EHR, it becomes possible to combine insulin delivery parameters with glucose trends and other diabetes-related data sources. This integrated dataset could eventually support more sophisticated analytics and real-time insights, helping clinicians identify therapy adjustments with greater precision and timeliness. By reducing reliance on manually transcribed or incomplete data, the system is designed to enhance confidence and consistency in treatment decisions.
While electronic health records serve as the primary repository for patient medical information, traditional EHR workflows are often limited to data already present within the chart. In diabetes care, however, insulin pump settings are generated and updated across a wide range of devices and manufacturer ecosystems. This variability has historically made it difficult to standardize and integrate pump data into clinical records in a consistent, usable format.
Glooko addresses this challenge by providing a device-agnostic diabetes data platform that normalizes insulin pump information across multiple manufacturers. The platform aggregates data from more than 200 diabetes and health monitoring devices, then translates it into structured outputs that can be delivered directly into the EHR. This approach enables a more unified view of patient data, where device information, clinical documentation, and care decisions are aligned within the same workflow.
By embedding pump settings directly into EHR flowsheets, Glooko aims to reduce the reliance on fragmented systems and manual data entry while improving data accuracy and clinical usability. The company describes this approach as part of a broader strategy to create a connected diabetes care ecosystem that supports both clinicians and patients through more seamless information flow.
Clinical experts have highlighted the potential benefits of this integration for both healthcare providers and patients. Yaa Kumah-Crystal, M.D., M.P.H., M.S., Associate Professor of Biomedical Informatics and Pediatric Endocrinology at Vanderbilt University Medical Center, noted that integrating insulin pump settings into the EHR has long been a priority for diabetes care teams seeking to reduce administrative inefficiencies. She emphasized that eliminating manual transcription of device data can improve documentation accuracy, reduce provider workload, and enhance the overall quality of clinical records.
She further explained that more reliable and accessible data allows clinicians, nurses, and diabetes educators to devote greater attention to patient-centered care and shared decision-making. For patients, this translates into smoother clinical visits, improved communication, and more data-driven discussions about treatment adjustments. On a broader scale, structured access to detailed pump settings also enables health systems to more accurately track insulin therapy parameters and support population health management initiatives.
The new integration builds on Glooko’s existing EHR connectivity capabilities and reinforces its broader mission of unifying diabetes data, clinical workflows, and patient engagement within a single platform. The company currently supports integration with leading EHR systems and continues to expand its interoperability features to reduce platform switching and improve efficiency in clinical settings.
Rich Glenn, President of Connected Care at Glooko, stated that healthcare systems are increasingly demanding more connected and actionable diabetes data that fits naturally into existing care workflows. He noted that by embedding device-agnostic pump settings directly into EHR flowsheets, Glooko is helping to transition care delivery away from fragmented systems and toward a more integrated, streamlined model that better supports both clinicians and people living with diabetes.
The Pump Settings EHR Integration will be released as part of Glooko Web 26.2 and Mobile 16.16, scheduled for rollout during the week of June 8. In addition to the new EHR functionality, the update includes enhancements aimed at improving population health management and patient engagement tools. Availability of specific features may vary depending on EHR configuration, device compatibility, and regional market requirements.
While the new integration is expected to significantly improve workflow efficiency and data accessibility, Glooko also notes that all treatment decisions remain the responsibility of healthcare professionals. Clinical judgment, along with a comprehensive review of patient-specific information, continues to be essential in determining appropriate insulin therapy adjustments.
About Glooko
Glooko, Inc. is a global digital health company focused on helping clinicians address the growing challenges of glycemic safety and diabetes management across the care continuum. Glooko connects people with diabetes, healthcare providers and diabetes devices through solutions designed to simplify diabetes care, streamline clinical workflows and support more informed decisions. The company’s connected care platform helps centralize diabetes data, integrate with EHR workflows and support care teams across outpatient and inpatient settings.
