This research will develop a SMART on FHIR version of an existing pneumonia clinical decision support tool and evaluate it in a new setting with a different electronic health record.
This research will create clinical decision support artifacts for three patient-centered outcomes research guidelines around advanced diagnostic imaging using standards to allow them to be shareable, interoperable, and scalable; and implement them in different workflows and settings measuring their impact.
This research will create the Shared Decision Aid Navigator System to improve the implementation, integration, and scaling of patient shared decision aids into health informatics systems, aiding shared decision making and improving patient-centered outcomes.
This research will apply Substitutable Medical Applications, Reusable Technologies (SMART)-on-Fast Healthcare Interoperability Resources (FHIR) standards to a current patient-centered web-based application (app) for heart failure medication optimization and evaluate its effectiveness in guideline-directed medication prescribing for heart failure.
This study aimed to improve data exchange between public health and clinical care information systems, and across public health itself, to enhance data-informed decision making and surveillance of vaccine-preventable diseases, with findings indicating increased efficiency in both data access and staff effort.
Results of this study align with the growing body of evidence that indicates that prescription drug monitoring programs integration increases prescription drug monitoring programs use.
This study will integrate a previously piloted risk tool and clinical decision aid, MammoScreen, with an EHR to provide personalized decision support for both patients and clinicians to improve quality of care for women who are at increased risk for breast cancer.
The research team will implement and evaluate an integration application that incorporates relevant health information exchange data directly into the electronic health record in the emergency department.
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.
Researchers successfully developed Decision Precision+, a shared decision making tool that increases appropriate screening for lung cancer, as a SMART on FHIR app that pulls data from the electronic health record to enable providers to have an individualized risk-benefit discussion with at-risk patients on whether lung cancer screening is right for them.
