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

Non-randomized Protocols and Methods (ehealth) (566) Secondary Use of Clinical Data for Research and Surveillance (362)

Published on in Vol 11, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39414, first published .
The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods Study

The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods Study

The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods 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 ;   Chang Liu6 Author Orcid Image ;   Sonsoles De Lacalle7 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Jing X, Patel V, Cimino J, Shubrook J, Zhou Y, Draghi B, Ernst M, Liu C, De Lacalle S. A Visual Analytic Tool (VIADS) to Assist the Hypothesis Generation Process in Clinical Research: Mixed Methods Usability Study. JMIR Human Factors 2023;10:e44644 View
  2. 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

Books/Policy Documents

  1. Payne P. Clinical Research Informatics. View
  2. Vibha , Pai R, Sumith N. Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. View