Trust Profile based Trust Negotiation for the FHIR Standard

Eugene Sanzi, Steven Demurjian

2020

Abstract

Sensitive healthcare data within Electronic Healthcare Records (EHRs) is traditionally protected through an authentication and authorization process. The user is authenticated based on a username/password combination which requires a pre-registration process. Trust profile based trust negotiation replaces the required human intervention during the traditional pre-registration process with an automated approach of verifying that the user owns the trust profile with digital signatures. To accomplish this, the negotiation process gradually exchanges the credentials within the trust profile to build trust and automatically assign authorization rules to previously unknown users. In this paper, we propose a new model for attaching trust profile authorization data to Fast Healthcare Interoperability Resources (FHIR), a standard created by HL7, in order to integrate the process of trust profile based trust negotiation into FHIR.

Paper Citation

in Harvard Style

Sanzi E. and Demurjian S. (2020). Trust Profile based Trust Negotiation for the FHIR Standard.In Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-440-4, pages 242-251. DOI: 10.5220/0009830502420251

in Bibtex Style

@conference{data20,
author={Eugene Sanzi and Steven Demurjian},
title={Trust Profile based Trust Negotiation for the FHIR Standard},
booktitle={Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2020},
pages={242-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009830502420251},
isbn={978-989-758-440-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Trust Profile based Trust Negotiation for the FHIR Standard
SN - 978-989-758-440-4
AU - Sanzi E.
AU - Demurjian S.
PY - 2020
SP - 242
EP - 251
DO - 10.5220/0009830502420251