Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21)

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 develop and test novel approaches for using electronic health record metadata to characterize and evaluate hospital discharge planning practices, with the long-term goal of providing tools to monitor and strengthen specific behaviors within discharge workflows that optimize post-acute transitions of care.

This research will examine the acceptability and usability of a shared decision making tool that incorporates risk information and patient and caregiver preferences for Hospital at Home, an acute care alternative to traditional inpatient hospitalization.

This research study will pilot test BedsideNotes—a new capability within the inpatient portal to share physicians’ admission and daily notes with parents of children hospitalized on hematology/oncology and neonatal intensive care units.

This research will develop and validate a COVID-19 emergency department (ED) return screening tool that will provide ED clinicians a risk assessment to guide admissions and discharges to reduce morbidity and mortality associated with acute respiratory syndrome coronavirus 2 infection.

This research aims to design and develop novel wearable technologies that can improve care coordination during prehospital encounters and, ultimately, improve patient outcomes and achieve patient-centered care delivery and coordination.

This research will develop, train, test, and evaluate a machine learning classifier to identify risk for HIV acquisition or transmission among hospitalized patients with substance misuse.

This study will evaluate the feasibility of a digital personal health record mobile application for longitudinal care planning, patient/family-centered goal tracking, and communication with providers all integrated with electronic health records by Fast Healthcare Interoperability Resources data standards to enhance care coordination for families of children and youth with special healthcare needs.

This research will examine a State-subsidized integration of prescription drug monitoring programs (PDMPs) into electronic health record systems and its impact on PDMP use and provider prescribing behavior.