33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021

Sohail, S. A. (Participant)

Activity: Participating in or organising an eventParticipating in a conference, workshop, ...

Description

Post-GDPR, the public/private (healthcare) enterprises, while
performing (sensitive) Big Data Analytics (BDA), encounter the dilemma
of abiding by the privacy regulations on one hand and extracting maximum
value from (healthcare) metadata on the other. Concerning this,
one of the major issues is the Privacy Utility trade-o (PUT). The
PUT aects each phase including (healthcare) metadata collection, formulation,
storage, and resharing amongst (healthcare) enterprises. So
far in healthcare, PUT concerning issues are identied and resolved in
a remote, disintegrated manner. It's high time to resolve the issue by
taking a holistic approach. This Ph.D. research work strives to achieve
the same with normative (should be) and empirical (as-is) evaluation of
PUT in Dutch care metadata share landscape. For clarity, the problem
area is segregated into four fundamental dimensions. For each dimension,
empirical evaluation is performed using Process Mining (discovery/
conformance checking) techniques on real-world healthcare eventlog(
s). Based on data analytics, the conceptual modeling frameworks
are formulated using e3 value modeling or/and REA ontologies. For
normative evaluation, two alternative approaches; the `Content Analysis',
to formulate the conceptual modeling framework(s) and `BPMN
text extraction', for documents `Rule Mining' for drawing the respective
business model(s), are used. Later, the (in-eld) IT expert(s) further
evaluates the proposed conceptual model(s). The aim is to evaluate
the technical (IS-based privacy-preserving tools and techniques) and respective
organizational (access governance, data ownership) measures of
Dutch healthcare providers. The research work will (ultimately) contribute
standardized conceptual modeling framework(s) with technical
and respective organizational measures to efficiently cope with the PUT
in handling sensitive (healthcare) metadata.
Period1 Jul 2021
Event typeConference
Conference number33
LocationVirtual Event, Australia, Victoria
Degree of RecognitionInternational

Keywords

  • Healthcare
  • Privacy Utility Tradeoff
  • Normative Evaluation
  • Empirical Evaluation
  • Conceptual Modelling framework