A Community Health Information Exchange-based Hospital Readmission Risk Prediction & Notification System
This project developed and validated a 30-day readmission risk prediction model that incorporated data from a health information exchange.
This project developed and validated a 30-day readmission risk prediction model that incorporated data from a health information exchange.
The research team identified key information needs for clinicians providing and coordinating care for patients with complex medical, social, and economic needs, and developed and tested design principles for electronic health record systems to support social determinants of health data capture and clinical decision support.
This research identified the data domains at greatest risk of communication errors during intensive care unit (ICU) patient rounds, developed the ability to conduct simulated ICU rounds for research and training, and found that there is a need for real-time simultaneous reviewing of data by all members of the rounding team to reduce communication errors.
This project developed a tool to promote activation, communication, engagement, and self-management of pediatric blood and marrow transplant patients and their parents and found that patient-centric tools can successfully engage caregivers in hospital care.
The research team developed a smartphone application that notifies primary care providers when patients receive care in the hospital or emergency department, allowing for rapid followup care.
This research studied how communication technologies facilitate or hinder communication between nurses and physicians with the ultimate goal of supporting effective communication.
Informed by patients, caregivers, and an advisory panel of researchers and clinicians, this research developed, implemented, and evaluated an online patient portal tutorial for patients with chronic conditions.
This research assessed the use of a health information exchange system in emergency department settings, finding that although overall usage is relatively low, additional functionalities such as single sign on add value to clinical decision making and enable faster retrieval of patient records from external sources compared to traditional methods when embedded into existing workflows.
This project will determine the impact of using telemedicine to serve children with special healthcare needs living in rural and underserved communities.
This research assessed the use of an electronic social needs screening tool integrated into the workflow of an emergency department setting that facilitated referrals for those in need, and found that although only a small subset of patients expressing need received referrals, the strategy showed promise to monitor population health post-discharge.