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

Non-randomized Protocols and Methods (ehealth) (568) Big Data (240)

Published on in Vol 9, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16779, first published .
Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study

Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study

Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study

Authors of this article:

Rik Wehrens1 Author Orcid Image ;   Vikrant Sihag2, 3 Author Orcid Image ;   Sandra Sülz1 Author Orcid Image ;   Hilco van Elten1 Author Orcid Image ;   Erik van Raaij1, 2 Author Orcid Image ;   Antoinette de Bont1 Author Orcid Image ;   Anne Marie Weggelaar-Jansen1, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Journals

  1. van Elten H, Sülz S, van Raaij E, Wehrens R. Big Data Health Care Innovations: Performance Dashboarding as a Process of Collective Sensemaking. Journal of Medical Internet Research 2022;24(2):e30201 View
  2. Stevens M, Wehrens R, Kostenzer J, Weggelaar-Jansen A, de Bont A. Why Personal Dreams Matter: How professionals affectively engage with the promises surrounding data-driven healthcare in Europe. Big Data & Society 2022;9(1) View
  3. Di Falco C, Noto G, Marisca C, Barresi G. The contribution of information and communication technologies on performance management and measurement in healthcare: a systematic review of the literature. The TQM Journal 2024;36(9):371 View
  4. Mauro M, Noto G, Prenestini A, Sarto F. Digital transformation in healthcare: Assessing the role of digital technologies for managerial support processes. Technological Forecasting and Social Change 2024;209:123781 View

Books/Policy Documents

  1. Toderis L, Reychav I, McHaney R. Proceedings of 22nd International Conference on Informatics in Economy (IE 2023). View