HoPro - Hospital Process Ontology : Ontology driven framework for Health Information Systems (HIS)

Keramaris, Vasilios (2018) HoPro - Hospital Process Ontology : Ontology driven framework for Health Information Systems (HIS). (PhD thesis), Kingston University, .

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Abstract

Present hardware improvements and software advances, along with new methods of operational communications in the field of informatics, have the potential to dramatically change the healthcare industry and provide the infrastructure to deliver health services safe and efficient even from a distance, becoming more patient centrered. Healthcare organizations must embrace technological advances such as fast internet, easy access to computing, powerful cellular phones and artificial intelligence (AI), in order to exploit new ways for patient care and to create a more advanced healthcare landscape. As a consequence, today more than ever, health information systems must resolve the enormous issues of interoperability and the need of exchanging medical data among heterogeneous data containers. This study is about these interoperability informational errors, between dissimilar data systems, like those of two separate hospitals. Currently, various medical data reported from Greek hospitals, show several patient treatments categorized as generic treatments, leading to useless patient data; Moreover, is illustrated that transference protocols like HL7, do successfully exchange medical data but with many times problematic human interventions that lead to mistakes. The conclusion, is that the absence of detailed medical process terms and activities, leads to the many interoperability problems between diverse medical communities. Finally, this study introduces a novel ontological based methodology, named "Onto Drive", demonstrated further at www.ontodrive.com, for creating innovative information systems and validates that the use of such new systems, would minimise the high rate of unrecognized patient treatments from 28% down to 0%. Future health information systems, that will follow this novel ontology-based methodology, would be able to communicate fast, effectively and efficiently and as a result producing intelligible, safe and sophisticated medical environments.

Item Type: Thesis (PhD)
Physical Location: This item is held in stock at Kingston University library.
Research Area: Allied health professions and studies
Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Depositing User: Kevin Hiscox
Date Deposited: 25 Mar 2019 14:32
Last Modified: 25 Mar 2019 14:32
URI: http://eprints.kingston.ac.uk/id/eprint/43006

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