Predictive Modeling as guide for Health Informatics Deployment

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Author(s): Fabrizio L. Ricci (Italian National Research Council, Italy)and Oscar Tamburis (University of Naples Federico II, Italy)
Copyright: 2017
Pages: 35
Source title: Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics
Source Author(s)/Editor(s): Madjid Tavana (La Salle University, USA), Kathryn Szabat (La Salle University, USA)and Kartikeya Puranam (La Salle University, USA)
DOI: 10.4018/978-1-5225-0654-6.ch008

Keywords: Business Information Systems / Business Science Reference / Data Analysis & Statistics / Library & Information Science

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Abstract

The present research work shows the main steps conducted towards the exploitation of the LUMIR project, aiming at realizing an EHR framework in the Italian Region of Basilicata (also known as Lucania). It relates to a structure of network–enabled services capable of integrating the ICT solutions used by the operators of the Healthcare System of Basilicata Region. The adoption process of the LuMiR system was meant to address the issues connected to the design features as well as to the EHR diffusion and the acceptance aspects. The mathematical modeling approach introduced aimed at making possible to get to a measure “ex–ante” of both adequacy and significance of the adoption process itself. The final intent is to work out a scalable and exportable model of advanced management of clinical information, towards a stronger cooperation among the provider organizations and a better governance of care processes, as crucial element within the more general path of modernization of the healthcare sector.

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Predictive Modeling as guide for Health Informatics Deployment

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