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Authors: Enrico Serracca ; Marco Brambilla ; Tito Poli and Elena Martinelli

Affiliation: University Hospital of PARMA, Italy

Keyword(s): Medical Appropriateness, Information Technology, E-Health, Data Mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Computing and Telecommunications in Cardiology ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; e-Business ; Enterprise Information Systems ; Evaluation and Use of Healthcare IT ; Health Engineering and Technology Applications ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Semantic Interoperability ; Sensor Networks ; Signal Processing ; Simulation and Modeling ; Soft Computing ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: In the health sector, the current intention of the Ministry of Health and of the Italian Government is to decrease healthcare squandering, to invest in research and to support the NHS. In this context the theme of appropriateness of treatment is essential; in fact the Health Ministry is committed to establish guidelines for the appropriateness of prescription, indicating the "conditions of provision" and "indications of appropriateness". A number of key actors however complain that this approach, along with others (e.g. multifaceted educational programs, electronic systems of frequency filtering, such as limiting the number of available tests to the requesting physicians) lead to uncertain and often ineffective results. This work highlights how the adoption and use of Information Technology (IT) in clinical settings is contributing to the optimization of NHS resources and to the governance of the healthcare delivery activities, in particular for the management and control of appropr iateness of care. As an example, the adoption of a computerized alerting system by the University Hospital of Parma has brought out significant results. System integration through standard protocols such as HL7, fully normalized data repositories that univocally identify patients, diagnosis and health service provided are crucial in the healthcare context. (More)

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Paper citation in several formats:
Serracca, E.; Brambilla, M.; Poli, T. and Martinelli, E. (2016). Information Technology for Medical Appropriateness Through Support Algorithms and Recovery of Patients’ Clinical History. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 426-431. DOI: 10.5220/0005816504260431

@conference{healthinf16,
author={Enrico Serracca. and Marco Brambilla. and Tito Poli. and Elena Martinelli.},
title={Information Technology for Medical Appropriateness Through Support Algorithms and Recovery of Patients’ Clinical History},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF},
year={2016},
pages={426-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005816504260431},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - HEALTHINF
TI - Information Technology for Medical Appropriateness Through Support Algorithms and Recovery of Patients’ Clinical History
SN - 978-989-758-170-0
IS - 2184-4305
AU - Serracca, E.
AU - Brambilla, M.
AU - Poli, T.
AU - Martinelli, E.
PY - 2016
SP - 426
EP - 431
DO - 10.5220/0005816504260431
PB - SciTePress