Search found 14 items
This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.
This project will identify orthopedic clinical outcome measures that are most important to patients, and study the impact on satisfaction and outcomes when this information is provided to patients and their doctors.
This research took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artificial intelligence-enhanced sepsis CDS.
This project developed a patient-centric tool called the Surgical Risk Preoperative Assessment System to estimate the risk of adverse operative outcomes.
This project developed the Patient-Centered Virtual Multimedia Interactive Informed Consent tool and found that patients who used the tool had increased knowledge and higher satisfaction than control patients.
This study aimed to improve care transitions for low-income patients with multiple chronic conditions using health information exchange, and found significant reductions in inpatient and emergency department utilization.
This project developed and implemented a large-scale approach to measuring the impact of health information technology on the quality and variability of care in ambulatory settings, and along racial and ethnic lines.
This study examined the relationships between the stage of electronic health record adoption, missed nursing care, and the nursing practice environment’s adverse effect on hospitalized patients’ outcomes and satisfaction.
This project implemented and evaluated an ambulatory electronic health record integrated with an inpatient perinatal system and found that increased information availability enabled providers to identify problems and respond with more intensive care.
This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.