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

Formative Evaluation of Digital Health Interventions (2828) Decision Support for Health Professionals (1341)

Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30320, first published .
Segmenting Clinicians’ Usage Patterns of a Digital Health Tool in Resource-Limited Settings: Clickstream Data Analysis and Survey Study

Segmenting Clinicians’ Usage Patterns of a Digital Health Tool in Resource-Limited Settings: Clickstream Data Analysis and Survey Study

Segmenting Clinicians’ Usage Patterns of a Digital Health Tool in Resource-Limited Settings: Clickstream Data Analysis and Survey Study

Authors of this article:

Kate Miller1, 2 Author Orcid Image ;   Julie Rosenberg1, 3 Author Orcid Image ;   Olivia Pickard1 Author Orcid Image ;   Rebecca Hawrusik1 Author Orcid Image ;   Ami Karlage1 Author Orcid Image ;   Rebecca Weintraub1 Author Orcid Image
Article Authors Cited by (3) Tweetations (19) Metrics

Journals

  1. Rosenberg J, Miller K, Pickard O, Henrich N, Karlage A, Weintraub R. Barriers and facilitators to use of a digital clinical decision support tool: a cohort study combining clickstream and survey data. BMJ Open 2022;12(11):e064952 View
  2. Wen Z, Lin W, Liu H. Machine-Learning-Based Approach for Anonymous Online Customer Purchase Intentions Using Clickstream Data. Systems 2023;11(5):255 View
  3. Canay Ö, Kocabıçak Ü. Augmented Web Usage Mining and User Experience Optimization with CAWAL’s Enriched Analytics Data. International Journal of Human–Computer Interaction 2025;41(11):7152 View