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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 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.
This study evaluated Heart360, a mobile health management tool to improve blood pressure monitoring, medication management, and provider communication for stroke survivors.
This project tested three types of clinical decision support alerts and found that pop-up alerts were the most effective, but were the least preferred by dental providers.
This project examined the role of health information technology on inpatient health care service demand.
This project evaluated the economic and quality outcomes of long-term Patient-Centered Medical Home clinics in the HealthPartners Medical Group system.
This project assessed factors that influenced the participation of small- and medium-sized primary care practices in Minnesota in community-wide electronic health information exchange.
This project conducted a randomized clinical trial to evaluate the impact of two clinical decision support interventions designed to improve the quality and safety of dental care in patients with medically complex conditions.