Use this URL to cite or link to this record in EThOS:
Title: HoPro - Hospital Process Ontology : ontology driven framework for Health Information Systems (HIS)
Author: Keramaris, Vasilios
ISNI:       0000 0004 7660 6308
Awarding Body: Kingston University
Current Institution: Kingston University
Date of Award: 2018
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Restricted access.
Access from Institution:
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, 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.
Supervisor: Danas, Konstantinos Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Allied health professions and studies ; Computer science and informatics