HITEQ Health Center Information Blocking Avenger

This badge is designed to support health center staff who work with data every day to tell a comprehensive story with their data and foster a data-driven culture. Materials include a dashboard design guide, the Learning to Love your Data webinar series, and a resource detailing how data visualization can be used to support value-based care.  Take some time to review the resources on this page and then fill out the submission form on the right and you will be rewarded with a Data Storyteller badge!  This is an official badge that is submitted by the HITEQ Center as a proof of completion to the blockchain. Your credentials can be added to profiles such as LinkedIn and verified through accreditation services such as Accredible and Open Badge.

Information Blocking Avenger Curriculum
Using PGHD From Mobile Devices for Diabetes Self-Management
HITEQ Center

Using PGHD From Mobile Devices for Diabetes Self-Management

An article from the Journal of Diabetes Science and Technology

From the article in the Journal of Diabetes Science and Technology: 

"Health information technology (HIT) is a promising tool to offset challenges physicians face in delivering self-management support, particularly in diabetes. Through HIT, including patient portals, mobile applications, and automated phone technologies, providers and patients can communicate beyond the 15-minute office visit. Health care providers, through automated technology, can send patients reminders and education to support self-management, and can also collect information from patients on self-care activities and other self-assessments.

Such “patient-generated health data” are taking on greater importance in the context of the recent 2009 Health Information Technology for Economic and Clinical Health Act (HITECH), which requires providers to integrate electronic health records (EHRs) into the care environment and demonstrate meaningful use. Although not yet finalized, current proposed recommendations for stage 3 meaningful use, set to take effect in 2016, require participating hospitals and physicians to electronically accept patient-generated health information. While the potential benefits of patient-generated health data are widely appreciated, little is known about how best to integrate them into routine clinical care. Key research questions remain about what patient-generated data would be useful to providers, how and when the data should be captured, and how best to integrate them into clinical workflow."

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