http://www.cnr.it/ontology/cnr/individuo/prodotto/ID280755
Secondary uses of EHR systems: A feasibility study (Contributo in atti di convegno)
- Type
- Label
- Secondary uses of EHR systems: A feasibility study (Contributo in atti di convegno) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/EHB.2013.6707295 (literal)
- Alternative label
Fabrizio Pecoraro, Daniela Luzi, Fabrizio L. Ricci (2013)
Secondary uses of EHR systems: A feasibility study
in 4th IEEE International Conference on e-Health and Bioengineering (EHB), Iasi, Romania, 21-23 Novembre 2013
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Fabrizio Pecoraro, Daniela Luzi, Fabrizio L. Ricci (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.scopus.com/inward/record.url?eid=2-s2.0-84893756617&partnerID=q2rCbXpz (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Improving Quality of Life through Research and Innovation. Proceedings of 4th IEEE International Conference on e-Health and Bioengineering (EHB), Iasi, Romania, November 21-23, 2013 (literal)
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Fabrizio Pecoraro, Daniela Luzi : IRPPS-CNR
Fabrizio L. Ricci : IASI-CNR (literal)
- Titolo
- Secondary uses of EHR systems: A feasibility study (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4799-2373-1 (literal)
- Abstract
- This paper proposes a data warehouse architecture based on the Electronic Health Record (EHR) technological infrastructure developed in Italy. The adoption of EHRs can represent a possible solution to integrate data provided by different information sources transforming them into useful knowledge. This allows to define metrics and assessment of clinical performance as well as to take corrective actions to support better business decision-making. The paper describes the main advantages in the application of EHR for secondary purposes and reports the data warehouse design framework outlining its architecture as well as examples of business process dimensional models based on a set of clinical indicators defined to manage the intervention of patients with diabetes. (literal)
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