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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 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.