Personalized Big Data Access: Value for Medical Staff

Liat Toderis, Iris Reychav, Roger McHaney

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Healthcare systems produce big data with latent capabilities for healthcare providers. Big data is a strategic resource and requires the appropriate infrastructure for data entry, systematic analysis, and visualizations for decision makers. Attempts to build a big data infrastructure raise various challenges related to availability, accessibility, reliability, and quality while considering information privacy and security. These challenges are significant and can disrupt the ability to realize data’s hidden potential. A variety of technological tools are available to medical staff members for big data use in healthcare. However, access to the data alone does not guarantee the appropriate use of these tools and still requires understanding the needs of end users to ensure success. In recent decades, several models have been developed to evaluate the implementation of new information technology and the adoption of technology by users. The current paper focuses on this value and related challenges: how to turn organizational data into meaningful knowledge by introducing a new implementation model in big data in healthcare. The model is an integrated one, presenting practical aspects, timeline aspects related to the life of the project, personalization in access to data, reference to information providers, and technological solutions. The project uses an organizational architecture tool to describe the implementation model and generate outcomes. The model will be based on 15 clinical and managerial use cases. Outcomes will be described by strategic objectives in the model and will be presented in the ArchiMate® language.

Original languageEnglish
Title of host publicationProceedings of 22nd International Conference on Informatics in Economy, IE 2023 - Education, Research and Business Technologies
EditorsCristian Ciurea, Paul Pocatilu, Florin Gheorghe Filip
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9789819969593
StatePublished - 2024
Event22nd International Conference on Informatics in Economy, IE 2023 - Bucharest, Romania
Duration: 25 May 202326 May 2023

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


Conference22nd International Conference on Informatics in Economy, IE 2023


  • Big data
  • Healthcare
  • Organizational architecture


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