257. Can the integration of healthcare services at regional level improve the quality and efficiency of the healthcare system?
Invited abstract in session TD-4: Discussion session, stream Discussions.
Tuesday, 16:00-17:30Room: Room S3
Authors (first author is the speaker)
| 1. | Roberto Aringhieri
|
| Dipartimento di Informatica, Università degli Studi di Torino | |
| 2. | Davide Duma
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| Dipartimento di Matematica "Felice Casorati", Università degli Studi di Pavia |
Abstract
A defining characteristic of today's data-rich society is the collection, storage, preprocessing, and analysis of immense amounts of data. This characteristic is cross-sectoral and applies also to healthcare. Big Data is generated from a plurality of sources and offers possibilities for new insights, for understanding human systems at the systemic level to develop personalised medicine, prevent diseases and support healthy life. From the Health Care Management perspective, Big Data are a key enabling technologies to support detailed health system analysis.
We argue that the Health Care Big Data (HCBD) can power a detailed health system analysis using Discrete Event Simulation (DES) methodology: exploiting the HCBD, one can replicate the behaviour of the health system modelling how each single patient flows within her/his care pathway. The novelty of the proposed approach is therefore the use of the DES methodology for the health system analysis exploiting Big Data in order to better represent the variety of the patients accessing the health system.
In this talk, we will therefore ask how to answer the question expressed in the title by showing some examples and preliminary results exploiting the available HCBD of Piedmont Region, and we will ask the audience about possible system-level analyses and the potential of such analyses.
Keywords
- Healthcare management
- Patient flow
- Healthcare policy modelling
Status: accepted
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