Work

Linking Diagnostic-Related Groups (DRGs) to their Processes by Process Mining

Year: 2016

Type: conference-paper

Abstract: The knowledge of patient-flow is very important for healthcare organizations, because strongly connected to effectiveness and efficiency of resource allocation. Unfortunately, traditional approaches to process analysis are scarcely effective and low efficient: they are very time-consuming and they may not provide an accurate picture of healthcare processes. Process mining techniques help to overcome these problems. This paper proposes a methodology for building a DRG related patient-flow using process mining. Findings show that it is possible to discover the different sequences of activities associated with a DRG related process. Managerial implications concern both process identification, analysis and improvement. A case study, based on a real open data set, is reported.

Source: International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)

DOI: 10.5220/0005817804380443

Authors: Alessandro Stefanini, Davide Aloini, Riccardo Dulmin, Valeria Mininno

Institutions: University of Rome Tor Vergata, University of Pisa

Language: English

Topic: Business Process Modeling and Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W2345087641