This research will develop, implement, and evaluate an artificial intelligence-enabled workflow that would allow for online reading and same-day diagnostic imaging following screening mammography in breast cancer screening clinics.
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 develop and evaluate a COMputerized PAtient-centered Collaborative Technology (COMPACT) to support personalized breast cancer decision making.
This research aims to examine changes in nursing clinical documentation from 2019 through the COVID-19 pandemic timeline to observe the impact of electronic health record burden on patient care.
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 research will test and validate a machine learning predictive analytic intervention to optimize the timely and appropriate use of interpreters for hospitalized patients with language barriers and complex care needs.
This research will refine an existing interoperable, patient-facing blood pressure control tool--the Collaboration Oriented Approach to Controlling High Blood Pressure (COACH) application--evaluate its implementation into three diverse clinical settings; conduct a randomized trial to assess its impact on lowering blood pressure; and develop a shareable, interoperable mechanism to aid in the dissemination of patient-facing clinical decision support tools.
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 implement a personalized and electronically integrated shared clinical decision support system for left ventricular assist devices in patients with advanced heart failure.
In this study, researchers employed and analyzed an artificial intelligence tool to improve the motivational interviewing capacities of health workers.
