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This project will clarify the relationship between “pull” and “push” health information exchange usage in primary care settings, and determine the impact of each approach on potentially avoidable and costly health care utilization.
This research studied errors in medical documents created with speech recognition software and developed natural language processing methods to detect such errors.
This project expanded and modified the Child Health Improvement through Computer Automation (CHICA) system to assist pediatricians in identifying and managing four common medical-legal problems that may adversely impact child health, and found initial findings to be inconclusive.
This project implemented clinical decision support and clinical messaging to improve clinician reporting of notifiable conditions to public health agencies.
This project developed an emergency care data registry for pediatric patients using electronic health records and assessed change in benchmarks for quality care measures.
This project evaluated the use and benefits of an electronic medical record shared between patients with diabetes and their health care providers.