Identifying ‘Materialized Privacy Claims’ of Clinical Care Metadata Share using Process Mining and REA ontology

Sohail, S. A. (Speaker)

Activity: Talk or presentationOral presentation


Metadata formation, maintenance, and interoperability are
crucial for long-term, effective usage of valuable digital information across
domains. Metadata interoperability especially triggers privacy concerns
regarding personally identifiable information of data subjects when sensitive clinical-care metadata is shared amongst multiple caregivers. The
problem intensifies when the care metadata share across caregivers is
considered essentially significant for an efficient care system. Patients’
un-anonymized care metadata share across caregivers is validated using
a real-world Sepsis dataset with Process Mining discovery techniques.
Findings are further evaluated, for both horizontally and vertically distributed caregivers, by an IT expert from a Dutch hospital. The Resource, Event, Agent (REA) ontology-based ‘Insurance Model’ is used to
identify the underlying economic factors behind the un-anonymized patients’ metadata share amongst caregivers. The model discovers the key
economic agents, their prime interactions (from contract signing to the
exchange of resources) for mutual economic gain/loss in the care metadata share landscape. Lastly, we explicate that the privacy concerns of
patient’s metadata share emerge as ‘Materialized Privacy Claim’. The
privacy claim only emerges if either the patient or any other potent (involved) authority finds an imbalance between the materialization and
settlement of the patient’s exchanged resources. The ‘Materialized Privacy Claim’ illustrates concretely with money claims for unlawful disclosure of a patient’s personal information from caregivers and insurers.
Period5 Mar 2021
Event title15th International Workshop on Value Modelling and Business Ontologies, VMBO 2021
Event typeWorkshop
Conference number15
LocationVirtual Workshop
Degree of RecognitionInternational


  • Privacy preservation and REA ontology