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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.
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 used clinical decision support tools to alert clinicians when prescribing unsafe medications, and to prompt them to counsel women in the use of contraception.
Evaluated the completeness and accuracy of information on symptoms, disease conditions, medications, and allergies generated by parents using a patient-centered health technology called ParentLink, compared to information documented by emergency department physicians and nurses; and assessed ParentLink's impact on patient safety and quality.