This project will provide patients direct access to their cancer genomic sequencing results through a Web-based portal, Helping Oncology Patients Explore-Genomics (HOPE-Genomics).
This project will clarify the relationship between “pull” and “push” health information exchange usage in primary care settings, and determine the impact of each approach on potentially avoidable and costly health care utilization.
This project will design and implement a care coordination system using a smartphone application that sends location-based alerts to care managers when high-risk patients receive care at a regional hospital or emergency room.
This pilot project implemented a Social Knowledge Networking system and concluded that it supported progress toward meaningful use of medication reconciliation technology in an electronic health record.
This project will integrate an existing Natural Language Processing system into neurology clinical practice and develop a decision support mechanism to alert providers about patients with epilepsy who are potential surgical candidates with the goal to shorten the time to surgical evaluation for eligible patients.
This research created, piloted, and evaluated FIQS, the Family Input to Quality and Safety tool, that allows pediatric patients and their caregivers to provide safety reports regarding their inpatient care.
This project studied the impact of changing the computing layout in a clinical exam room and evaluated its impact on workflow and patient centeredness.
This project will evaluate and compare different tools within electronic health records to assist pediatric primary care clinicians with providing higher quality childhood obesity care to help slow weight gain in children with obesity.
This project will formulate evidence-based recommendations for clinical decision support used by community pharmacist delivering medication therapy management. The goal is to reduce medication-related problems and improve health outcomes for chronically ill patients.
The goal of this project is to generate a systematic and replicable process for transforming evidence-based research findings, including findings from patient-centered outcomes research, into shareable clinical decision support (CDS) standards and a publicly available CDS prototype.