Clinician characteristics and use of novel electronic health record functionality in primary care. - Jeffrey A. Linder; Nancy A. Rigotti; Louise I. Schneider; Jennifer H. K. Kelley; Phyllis Brawarsky; Jeffrey L. Schnipper; Blackford Middleton; Jennifer S. Haas (J. Am. Medical Informatics Assoc., 2011)

Electronic Pharmacovigilance: Calling for Earlier Detection of Adverse Reactions (CEDAR). - Elissa V. Klinger; Alejandra Salazar; Japneet Kwatra; Jeffrey Medoff; Patricia C. Dykes; Jennifer S. Haas; Mary G. Amato; David W. Bates; Gordon D. Schiff (AMIA, 2014)

Interactive Voice Response Technology: Promises and Pitfalls in Facilitating Patient-Reported Monitoring for Adverse Drug Reactions. - Elissa V. Klinger; Alejandra Salazar; Jeffrey Medoff; Mary G. Amato; Patricia C. Dykes; Jennifer S. Haas; David W. Bates; Gordon D. Schiff (AMIA, 2015)

Born to Lose (the Call): Date of Birth Errors in Patient Identification in an Automated Adverse Drug Reaction Call System. - Jeffrey Medoff; Alejandra Salazar; Elissa V. Klinger; Japneet Kwatra; Mary G. Amato; Patricia C. Dykes; Jennifer S. Haas; David W. Bates; Gordon D. Schiff (AMIA, 2015)

Demographic Predictors for Completion of an Interactive Voice Response System Survey Coupled with a Real Time Transfer to a Pharmacist. - Alejandra Salazar; Elissa V. Klinger; Jeffrey Medoff; Mary G. Amato; Patricia C. Dykes; Jennifer S. Haas; David W. Bates; Gordon D. Schiff (AMIA, 2015)

Evaluation of an Automated Information Extraction Tool for Imaging Data Elements to Populate a Breast Cancer Screening Registry. - Ronilda Lacson; Kimberly A. Harris; Phyllis Brawarsky; Tor D. Tosteson; Tracy Onega; Anna N. A. Tosteson; Abby Kaye; Irina Gonzalez; Robyn L. Birdwell; Jennifer S. Haas (J. Digit. Imaging, 2015)

Assessing Inaccuracies in Automated Information Extraction of Breast Imaging Findings. - Ronilda Lacson; Martha E. Goodrich; Kimberly A. Harris; Phyllis Brawarsky; Jennifer S. Haas (J. Digit. Imaging, 2017)

Implementing an IT-Based Intervention to Improve Follow-up Rates of Abnormal Cancer Screening Results: the mFOCUS Trial. - Courtney J. Diamond; Steven J. Atlas; Tin H. Dang; Jie Yang 039; Li Zhou 007; Sanja Percac-Lima; Amy J. Wint; Kimberly A. Harris; E. John Orav; Erica S. Breslau; Shoshana Hort; Anna Tosteson; et al. (AMIA, 2020)

Implementing an IT-Based Intervention to Improve Follow-up Rates of Abnormal Cancer Screening Results: Pre-Implementation Perceptions of Primary Care Providers. - Courtney J. Diamond; Adam Wright; Steven J. Atlas; Tin H. Dang; Li Zhou 007; Sanja Percac-Lima; Amy J. Wint; Kimberly A. Harris; E. John Orav; Erica S. Breslau; Anna Tosteson; Jennifer S. Haas (AMIA, 2020)

Design and testing of a mobile health application rating tool. - David M. Levine; Zoe Co; Lisa P. Newmark; Alissa R. Groisser; A Jay Holmgren; Jennifer S. Haas; David W. Bates (npj Digit. Medicine, 2020)

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up. - Courtney J. Diamond; John Laurentiev; Jie Yang 039; Amy J. Wint; Kimberly A. Harris; Tin H. Dang; Amrita Mecker; Emily B. Carpenter; Anna N. A. Tosteson; Adam Wright; Jennifer S. Haas; Steven J. Atlas; et al. (MedInfo, 2021)

Comparing clinical decision support systems for improving follow-up of abnormal cervical cancer screening test results. - Steven J. Atlas; Timothy E. Burdick; Adam Wright; Wenyan Zhao; Shoshana Hort; David G. Aman; Mathan Thillaiyapillai; E. John Orav; Amy J. Wint; Rebecca E. Smith; Katherine L. Gallagher; Molly L. Housman; et al. (J. Biomed. Informatics, 2025)

An Agentic AI Workflow for Detecting Cognitive Concerns in Real-world Data. - Jiazi Tian; Liqin Wang; Pedram J. Fard; Valdery Moura Junior; Deborah Blacker; Jennifer S. Haas; Chirag Patel; Shawn N. Murphy; Lidia M. V. R. Moura; Hossein Estiri (CoRR, 2025)