Blockchain AI Framework for Healthcare Records Management: Constrained Goal Model

Youssef Wehbe, Mohamed Al Zaabi, Davor Svetinovic

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

38 Scopus citations

Abstract

Healthcare-related technology has been growing exponentially, from electronic healthcare records (EHRs) and personal health trackers to population health management tools. Currently, data from these sources is largely archived, analyzed separately or using only cursory integration with other data sources. In this study, we propose a coupled AI-Blockchain EHR management system. The goal is to provide a platform that leverages blockchain and artificial intelligence (AI) for (i) secure EHR management, (ii) efficient data integration, and (iii) reliable computer-aided diagnoses. A goal-oriented modeling approach with the Constrained Goal Model (CGM) is used to elicit the system requirements. Questionnaire results for a case study in Abu Dhabi, UAE served for model validation and refinement for maximizing the number of system users.

Original languageBritish English
Title of host publication2018 26th Telecommunications Forum, TELFOR 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538671702
DOIs
StatePublished - 2018
Event26th Telecommunications Forum, TELFOR 2018 - Belgrade, Serbia
Duration: 20 Nov 201821 Nov 2018

Publication series

Name2018 26th Telecommunications Forum, TELFOR 2018 - Proceedings

Conference

Conference26th Telecommunications Forum, TELFOR 2018
Country/TerritorySerbia
CityBelgrade
Period20/11/1821/11/18

Keywords

  • Artificial intelligence
  • Blockchain
  • Goal-oriented requirements engineering
  • Healthcare record management

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