Search found 9 items
This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.
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 developed and pilot-tested TJR App, a mobile application designed to help patients with osteoarthritis track their pain and activity, and found that app users were more likely to track symptoms consistently, when compared to non-users.
This project convened stakeholder panels to inform the development of an indications-enabled computerized prescriber order entry system.
This project modified an existing virtual patient advocate (VPA), a clinical patient education system, to become a health education tool directed towards young African-American women.
This project designed and validated a new diabetes quality of care process measure.
This research focused on the design, implementation, and evaluation of a comprehensive, practical, and innovative model of care delivery that incorporates shared decisionmaking.
Assesses the value of health IT to clinicians through creation of CDSS tools integrated with clinical documentation workflow and physician performance feedback, its impact on clinical decision support and quality assessment, and its cost-effectiveness.
Systematically assessed improvements in patient safety and experience of care associated with implementation of four decision support function embedded in an electronic health record: 1) the influence of weight based dosing on pediatric adverse drug events; 2) the influence of a test result tracking system on appropriate followup of ordered tests; 3) the influence of automated reminders on symptom monitoring and medications for children with asthma and attention deficit disorder.