Care Planning

This research evaluated Cloud Care, a cloud-based longitudinal multidisciplinary care plan for children with medical complexity and found that perceived ease of use was high among parents and mixed among providers; barriers included an inability to view the care plan anywhere other than the child’s primary electronic health record (EHR) or patient portal, and the lack of data being able to flow between the EHR and Cloud Care.

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 developed methods for measuring electronic health record (EHR) communication networks—defined as EHR-based information-sharing connections among healthcare professionals—for virtual care teams and examined 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 research focused on the design, implementation, and evaluation of a comprehensive, practical, and innovative model of care delivery that incorporates shared decisionmaking.