A Framework to Evaluate Architectural Solutions for Ubiquitous Patient Identification in Health Information Systems

Zuhaib Memon, Ovidiu Noran, Peter Bernus

2019

Abstract

The lack of accurate, reliable and consistent patient information is a major issue in healthcare, despite a relatively high Health Information System (HIS) adoption level worldwide. The main reason for this appears to be patient records lacking accurate particulars, including links to associated care programs, disease classification and treatment plans. The causes for this are multiple, including incompatibility of healthcare standards between version releases, inconsistent HIS implementation, lack of effective data input / validation, and the rapid evolution of and absence of a single ‘universal’ technological solution. Sustainable, stable and long-term architectural solutions are required. This research builds on previous work identifying major challenges and root causes of the problem and proposing essential non-functional requirements for HIS architectures. The paper elaborates on non-functional requirements and proposes an evaluation framework (based on a new international standard) that can be used to assess aspiring HIS architectures for long term stability and self-evolution and thus to support strategic decision making from within the evolving HIS.

Paper Citation

in Harvard Style

Memon Z., Noran O. and Bernus P. (2019). A Framework to Evaluate Architectural Solutions for Ubiquitous Patient Identification in Health Information Systems.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-372-8, pages 580-587. DOI: 10.5220/0007696305800587

in Bibtex Style

@conference{iceis19,
author={Zuhaib Memon and Ovidiu Noran and Peter Bernus},
title={A Framework to Evaluate Architectural Solutions for Ubiquitous Patient Identification in Health Information Systems},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2019},
pages={580-587},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007696305800587},
isbn={978-989-758-372-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Framework to Evaluate Architectural Solutions for Ubiquitous Patient Identification in Health Information Systems
SN - 978-989-758-372-8
AU - Memon Z.
AU - Noran O.
AU - Bernus P.
PY - 2019
SP - 580
EP - 587
DO - 10.5220/0007696305800587