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

Design and Usability of Clinical Software and EHRs (348) Human Factors and Usability Case Studies (1005) Registered Report (791) Usability Evaluation Case Studies (259) Tools, Programs and Algorithms (376)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44644, first published .
A Visual Analytic Tool (VIADS) to Assist the Hypothesis Generation Process in Clinical Research: Mixed Methods Usability Study

A Visual Analytic Tool (VIADS) to Assist the Hypothesis Generation Process in Clinical Research: Mixed Methods Usability Study

A Visual Analytic Tool (VIADS) to Assist the Hypothesis Generation Process in Clinical Research: Mixed Methods Usability Study

Authors of this article:

Xia Jing1 Author Orcid Image ;   Vimla L Patel2 Author Orcid Image ;   James J Cimino3 Author Orcid Image ;   Jay H Shubrook4 Author Orcid Image ;   Yuchun Zhou5 Author Orcid Image ;   Brooke N Draghi1 Author Orcid Image ;   Mytchell A Ernst1 Author Orcid Image ;   Chang Liu6 Author Orcid Image ;   Sonsoles De Lacalle7 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Jing X, Cimino J, Patel V, Zhou Y, Shubrook J, De Lacalle S, Draghi B, Ernst M, Weaver A, Sekar S, Liu C. Data-driven hypothesis generation among inexperienced clinical researchers: A comparison of secondary data analyses with visualization (VIADS) and other tools. Journal of Clinical and Translational Science 2024;8(1) View
  2. Jing X, Zhou Y, Cimino J, Shubrook J, Patel V, De Lacalle S, Weaver A, Liu C. Development, validation, and usage of metrics to evaluate the quality of clinical research hypotheses. BMC Medical Research Methodology 2025;25(1) View
  3. Ernst M, Draghi B, Cimino J, Patel V, Zhou Y, Shubrook J, De Lacalle S, Weaver A, Liu C, Jing X. A secondary data analysis on hypotheses generated by inexperienced clinical researchers: Cases from a randomized controlled study. Health Informatics Journal 2025;31(3) View
  4. Bejerano-Blázquez I, Familiar-Cabero M. On the Application of Artificial Intelligence and Cloud-Native Computing to Clinical Research Information Systems: A Systematic Literature Review. Information 2025;16(8):684 View