This research aims to determine the feasibility, acceptability, and outcomes associated with the use of Cloud Care, a cloud-based multidisciplinary care plan for children with medical complexity.
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.
This research will develop methods for measuring EHR communication networks—defined as EHR-based information sharing connections among healthcare professionals —in virtual care teams and to examine the relationship between EHR communication networks and care quality.
This research studied whether clinical decision support could reduce contextual errors, improve patient healthcare outcomes, and reduce misuse and overuse of medical services.
Researchers refined and implemented integrated digital healthcare enhancements to a previously developed, interactive, patient-centered discharge toolkit, finding that while patients used the toolkit, there were no significant changes in post-discharge healthcare utilization.
This research linked a web viewer for 3D models of patient homes to an electronic health record so that the models could be viewable and annotated from within a patient’s record for better discharge planning.
In this study, researchers created new electronic health record-based decision support tools that guide clinicians’ perceptions and judgments of noncancer pain in ways that lead to increased use of guideline-based patient assessment and treatment of pain.
This project determined care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities and developed a set of recommendations for patients and providers.
In an effort to reduce medical errors and adverse events, this project will determine the information needs of hospitalized patients and caregivers, and develop design requirements for a solution that supports communicating safety concerns to providers.
This project established the feasibility of extracting quality indicators from hospice electronic medical records for comparative effectiveness research.
