Policy initiatives for Health Information Technology: A qualitative study of U.S. expectations and Canada's experience. - Claudia A. Salzberg; Yeona Jang; Ronen Rozenblum; Eyal Zimlichman; Robyn Tamblyn; David W. Bates (Int. J. Medical Informatics, 2012)

Lessons from the Canadian national health information technology plan for the United States: opinions of key Canadian experts. - Eyal Zimlichman; Ronen Rozenblum; Claudia A. Salzberg; Yeona Jang; Melissa Tamblyn; Robyn Tamblyn; David W. Bates (J. Am. Medical Informatics Assoc., 2012)

The impact of medical informatics on patient satisfaction: A USA-based literature review. - Ronen Rozenblum; Jacques Donzé; Peter M. Hockey; Eddie Guzdar; Michael A. Labuzetta; Eyal Zimlichman; David W. Bates (Int. J. Medical Informatics, 2013)

Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study. - Steven R. Simon; Carol A. Keohane; Mary G. Amato; Michael Coffey; Bismarck Cadet; Eyal Zimlichman; David W. Bates (BMC Medical Informatics Decis. Mak., 2013)

In-hospital Telemedicine - Live Interactive Nurses' Pain Consultations. - O. Shamay-Rosler; Itay Gur-Aryeh; B. Lavi; S. Elbaum; A. Grinberg; S. Goldberg; Eyal Zimlichman (MIE, 2015)

Using mHealth to Monitor Asthma Symptoms Between Visits. - Robert S. Rudin; Christopher H. Fanta; Zachary Predmore; Eyal Zimlichman; Kevin W. Kron; Maria Edelen; David W. Bates (AMIA, 2017)

Core Components for a Clinically Integrated mHealth App for Asthma Symptom Monitoring. - Robert S. Rudin; Christopher H. Fanta; Zachary Predmore; Kevin W. Kron; Maria Edelen; Adam B. Landman; Eyal Zimlichman; David W. Bates (Appl. Clin. Inform., 2017)

Improving patient engagement in self-measured blood pressure monitoring using a mobile health technology. - Alan L. Kaplan; Erica R. Cohen; Eyal Zimlichman (Health Inf. Sci. Syst., 2017)

PRO (Patient Reported Outcomes) Implementation: From Vision to Reality. - Alex Galper; Ora Shamai-Rosler; Varda Stanger; Eyal Zimlichman (MedInfo, 2019)

Identifying Diabetes in Clinical Notes in Hebrew: A Novel Text Classification Approach Based on Word Embedding. - Maxim Topaz; Ludmila Murga; Chagai Grossman; Daniella Daliyot; Shlomit Jacobson; Noa Rozendorn; Eyal Zimlichman; Nadav Furie (MedInfo, 2019)

Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting. - Gad Segal; Amit Segev; Adi Brom; Yulia Lifshitz; YishayWasserstrum; Eyal Zimlichman (J. Am. Medical Informatics Assoc., 2019)

Institutional logics and innovation in times of crisis: Telemedicine as digital 'PPE'. - Eivor Oborn; Nirit Putievsky Pilosof; Bob Hinings; Eyal Zimlichman (Inf. Organ., 2021)

Associations of physicians' prescribing experience, work hours, and workload with prescription errors. - Ilona Leviatan; Bernice Oberman; Eyal Zimlichman; Gideon Y. Stein (J. Am. Medical Informatics Assoc., 2021)

A novel, machine-learning model for prediction of short-term ASCVD risk over 90 and 365 days. - Tomer Gazit; Hanan Mann; Shiri Gaber; Pavel Adamenko; Granit Pariente; Liron Volsky; Amir Dolev; Helena Lyson; Eyal Zimlichman; Jay A. Pandit; Edo Paz (Frontiers Digit. Health, 2024)

The potential for artificial intelligence to transform healthcare: perspectives from international health leaders. - Christina Silcox; Eyal Zimlichman; Katie Huber; Neil Rowen; Robert Saunders; Mark McClellan; Charles N. Kahn; Claudia A. Salzberg; David W. Bates (npj Digit. Medicine, 2024)