This paper is in the following e-collection/theme issue:

Implementation Report (32) Methods and Instruments in Medical Informatics (135) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43097, first published .
Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics

Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics

Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics

Authors of this article:

Jinying Chen1, 2, 3, 4 Author Orcid Image ;   Sarah L Cutrona1, 3 Author Orcid Image ;   Ajay Dharod2, 5, 6, 7 Author Orcid Image ;   Stephanie C Bunch8 Author Orcid Image ;   Kristie L Foley1, 5 Author Orcid Image ;   Brian Ostasiewski9 Author Orcid Image ;   Erica R Hale1, 2 Author Orcid Image ;   Aaron Bridges9 Author Orcid Image ;   Adam Moses2 Author Orcid Image ;   Eric C Donny10 Author Orcid Image ;   Erin L Sutfin11 Author Orcid Image ;   Thomas K Houston1, 2 Author Orcid Image ;   iDAPT Implementation Science Center for Cancer Control12
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Cánovas-Segura B, Morales A, Juarez J, Campos M. Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework. Journal of Biomedical Informatics 2023;143:104397 View
  2. Huguet N, Chen J, Parikh R, Marino M, Flocke S, Likumahuwa-Ackman S, Bekelman J, DeVoe J. Applying Machine Learning Techniques to Implementation Science. Online Journal of Public Health Informatics 2024;16:e50201 View