Glooko’s new version includes support for the Ambulatory Glucose Profile (AGP), as well as new dashboards and reports.
Diabetes data management company Glooko announced the release of its updated Glooko Web Application (Population Tracker). The web analytics platform update includes streamlined navigation and a new collection of diabetes analytics, charts, and graphs.
The company spent more than a year researching, developing, and identifying the most insightful analytics features included in both the Diasend and Glooko platforms. Both platforms are intended for use by people with diabetes and the medical personnel who treat the disease.
The new web app version available in the United States and Canada and launching shortly in Europe, includes support for IDC’s Ambulatory Glucose Profile (AGP). Its key features include:
- Reports that give insight about the influence of exercise, carbs, medication, and other factors on glucose levels
- Simplified, color-coded charts and graphs that streamline data for easier interpretation
- Enhanced statistics, bolus tracking features, and insulin pump reports
- An updated PDF wizard that simplifies report viewing and sharing
See also: Healthcare admin gets proactive, thanks to real-time analytics
“We are truly excited to supply PWDs and clinicians with the most comprehensive set of reports and analytics on diabetes data available today,” said Sam Wyndbrant, Director of Product Management at Glooko. “We listened to our customers’ feedback and added new features that will allow users to further separate the data that really matters from background noise. Patients and clinicians can now efficiently gain actionable insights from their data better than ever before.”
More than 7,000 clinics in 23 countries use Glooko’s platform, which extracts data from fitness/ activity trackers and diabetes devices to provide information about:
- Blood sugar levels
- Blood pressure
- Insulin levels
- Food
- Diet
- Weight
Learn more by visiting www.glooko.com
Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.
Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
The Center for Adaptive Edge IntelligenceAdaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.Link to The Value of Vehicle Electrification
The Value of Vehicle ElectrificationElectric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoTDigital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.Link to Smart Manufacturing for Automotive
Smart Manufacturing for AutomotiveLeading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.Link to Center for Data Pipeline Automation
Center for Data Pipeline AutomationAs businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.Link to Center for Automated Integration
Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
