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This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project created a natural language processing-enabled clinical decision support system to pull patient information and determine recommendations for cervical cancer screening, and demonstrated improvement in overall screening and surveillance rates.
The project team developed automated methods for identifying relevant new information versus redundant information in electronic health record clinical notes.
Developed a regional health IT strategic plan between 28 health care providers, including a comprehensive needs assessment of all of the participating organizations, prioritization of needs, identification of health IT solutions to prioritized needs, and development of appropriate implementation plans.
Evaluated the effects of a Web portal-based patient empowerment program and EMR system on quality of care, patient safety, and utilization for patients with diabetes and physicians in primary care practices.