Focusing on the work environment of nurses, this project will study the organizational conditions under which electronic health records function best in hospitals and their potential to improve the outcomes of medical-surgical patients.
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 will study the impact of errors in medical documents on quality of care and develop innovative natural language processing methods to automatically detect errors so that physicians can correct the documents before finalizing them in the electronic health record.
This project integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary care.
This project developed, implemented, and evaluated a voice-generated enhanced electronic note system and found that it did not improve the time to finalize notes or clinician satisfaction.
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.
The objectives of the 2015 and 2016 AMIA Policy Invitational meetings are to develop consensus recommendations on policy to improve health information technology for patient care, facilitate research, and manage the health of populations.
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 conducted a large scale systematic review to synthesize existing evidence on health information exchange use and effectiveness.