This research developed an mHealth text message intervention to improve the early identification of patients with hyperglycemia.
This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
Researchers surveyed the key features that distinguish active patient portal users from nonusers to best meet the needs of a diverse patient population and inform guidance in areas of need and improvement in portal design and implementation to improve access and reduce barriers.
This research supported the testing of two interoperable Substitutable Medical Applications Reusable Technologies (SMART®) on Fast Healthcare Interoperability Resources (FHIR®) electronic care (e-care) plan applications.
The overall goal of the research is to advance the integration and use of patient-generated digital health data in ambulatory care settings.
This research aims to develop and test a voice-activated smart system that will promote self-management and provide coping tools, motivation, and social support to help older adults with multiple chronic conditions.
This research will study the implementation of Telehealth Education for Asthma Connecting Hospital and Home (TEACHH), a novel intervention designed to provide an effective asthma educational platform appropriate for all health literacy levels. The intervention includes initial instruction in the hospital and reinforcement at home using virtual visits to reduce barriers to self-management support for children who are hospitalized due to asthma.
This research will examine the factors affecting cancer patients’ use of an electronic patient safety event reporting system to communicate adverse medication-related events to their care team.
This research will evaluate the use of WiseApp, a medication tracker mobile app linked to a smart pill box aimed at improving medication adherence in those living with HIV, focusing on Latinos in the United States and the Dominican Republic.
This research will use digital health tools leveraging patient-reported outcomes and data from electronic health records to engage individuals with multiple chronic conditions to improve understanding of individualized risk of adverse events during care transitions.
