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  • ATTD 2022 PRE-EVENT SYMPOSIUM SESSIONS RECORDING

    Videos

    ATTD 2022: REMOTE MONITORING IN FRANCE AI, MACHINE LEARNING & DTx FOR BEHAVIORAL MODIFICATION

  • HIMS22: REMOTELY MANAGING CHRONIC CONDITIONS WITH GLOOKO

    Videos

    HIMSS22: REMOTELY MANAGING CHRONIC CONDITIONS WITH GLOOKO

  • Glooko Diabetes Chronic Conditions Digital Health Brochure

    Brochures

    Digital Health for Diabetes and Related Chronic Conditions

videos

  • Glooko New Frontiers in Connected Care Roundtable

    NEW FRONTIERS IN CONNECTED CARE: HOW DIGITAL HEALTH INNOVATIONS CAN IMPROVE CHRONIC CARE MANAGEMENT

  • DUKPC 2022: The Use of AI, Machine Learning and Digital Therapeutics for Behavioral Modification

    DUKPC 2022: The Use of AI, Machine Learning and Digital Therapeutics for Behavioral Modification

  • HIMSS TV: Glooko CEO Russ Johannesson on Why Interoperability is ‘Critical’ to Digital Health

    HIMSS TV: Glooko CEO Russ Johannesson on Why Interoperability is ‘Critical’ to Digital Health

  • ATTD 2022 PRE-EVENT SYMPOSIUM SESSIONS RECORDING

    ATTD 2022: Remote Monitoring in France and AI, Machine Learning & DTx for Behavioral Modification

case studies

  • Glooko Sharp Rees Case Study

    Sharp Rees – Stealy Medical Group Improves Outcomes with Glooko

  • Glooko Atrius Health

    Diabetes Remote Patient Monitoring at Atrius Health

evidence

  • DIABETES DISTRESS REDUCES OVER TIME AMONG ADULTS

    Diabetes Distress Reduces Over Time Among Adults with T2D Receiving Care in an Ambulatory Diabetes Clinic Setting.

  • Immediate And Sustained Trends In Glycemic Control During Remote Patient Monitoring In People With Type 2 Diabetes

    Glooko investigated whether people with type 2 diabetes demonstrated improved glycemia after participating in remote patient monitoring programs.

  • In this randomized control trial, Glooko evaluated the short-term efficacy of mobile-enabled RPM implemented in an ambulatory diabetes clinic setting.

  • Insulin Pump Usage Patterns Among Persons with Diabetes

    Glooko developed a machine learning algorithm that predicts risk for decreased sensor glucose time in range following a clinic appointment.

brochures

  • Glooko Diabetes Chronic Conditions Digital Health Brochure

    Digital Health for Diabetes and Related Chronic Conditions

  • Glooko Diabetes Chronic Conditions Delivery Models Brochure

    Diabetes and Related Chronic Conditions: Expanding Need For Effective Care Delivery Models

  • Annual Diabetes Data Report 2020

    Annual Diabetes Data Report 2020: Remote patient monitoring and control trends during the COVID-19 pandemic

blog

  • Healthy Summer Eating Tips from Glooko’s Resident Registered Dietitian Nutritionist

    Glooko's Bridget Wood, RD, LD, CDCES shares healthy summer eating tips designed for people with diab... Continue Reading »
  • New Food Database Languages and Regional Items in the Glooko App Enable Users to Better Track Food Intake

    In Glooko Mobile Release Version 5.18, we updated our food database in our mobile app to better supp... Continue Reading »
  • Glooko Adds New Enhancements to Billing Export Feature to Streamline Submitting CPT Codes for Remote Patient Monitoring Reimbursement

    Glooko recently introduced new enhancements to the billing export feature in Population Health Analy... Continue Reading »
  • 5 Key Takeaways about Remote Patient Monitoring from HIMSS22

    HIMSS22 was filled with collaboration, especially around connected care solutions like Glooko, our d... Continue Reading »