Mining and retrieving medical processes to assess the quality of care

Stefania Montani, Giorgio Leonardi, Silvana Quaglini, Anna Cavallini, Giuseppe Micieli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In a competitive healthcare market, hospitals have to focus on ways to deliver high quality care while at the same time reducing costs. To accomplish this goal, hospital managers need a thorough understanding of the actual processes. Process mining can be used to extract process related information (e.g., process models) from data. This process information can be exploited to understand and redesign processes to become efficient high quality processes. Process analysis and redesign can take advantage of Case Based Reasoning techniques. In this paper, we present a framework that applies process mining and case retrieval techniques, relying on a novel distance measure, to stroke management processes. Specifically, the goal of the framework is the one of analyzing the quality of stroke management processes, in order to verify: (i) whether different patient categories are differently treated (as expected), and (ii) whether hospitals of different levels (defined by the absence/presence of specific resources) actually implement different processes (as they auto-declare). Some first experimental results are presented and discussed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages233-240
Number of pages8
Volume7969 LNAI
DOIs
Publication statusPublished - 2013
Event21st International Conference on Case-Based Reasoning Research and Development, ICCBR 2013 - Saratoga Springs, NY, United States
Duration: Jul 8 2013Jul 11 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7969 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other21st International Conference on Case-Based Reasoning Research and Development, ICCBR 2013
CountryUnited States
CitySaratoga Springs, NY
Period7/8/137/11/13

Fingerprint

Quality of Care
Mining
Case based reasoning
Process Mining
Process Management
Stroke
Managers
Case-based Reasoning
Distance Measure
Costs
Healthcare
Process Model
Retrieval
Verify
Resources
Experimental Results

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Montani, S., Leonardi, G., Quaglini, S., Cavallini, A., & Micieli, G. (2013). Mining and retrieving medical processes to assess the quality of care. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7969 LNAI, pp. 233-240). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7969 LNAI). https://doi.org/10.1007/978-3-642-39056-2_17

Mining and retrieving medical processes to assess the quality of care. / Montani, Stefania; Leonardi, Giorgio; Quaglini, Silvana; Cavallini, Anna; Micieli, Giuseppe.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7969 LNAI 2013. p. 233-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7969 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Montani, S, Leonardi, G, Quaglini, S, Cavallini, A & Micieli, G 2013, Mining and retrieving medical processes to assess the quality of care. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7969 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7969 LNAI, pp. 233-240, 21st International Conference on Case-Based Reasoning Research and Development, ICCBR 2013, Saratoga Springs, NY, United States, 7/8/13. https://doi.org/10.1007/978-3-642-39056-2_17
Montani S, Leonardi G, Quaglini S, Cavallini A, Micieli G. Mining and retrieving medical processes to assess the quality of care. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7969 LNAI. 2013. p. 233-240. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-39056-2_17
Montani, Stefania ; Leonardi, Giorgio ; Quaglini, Silvana ; Cavallini, Anna ; Micieli, Giuseppe. / Mining and retrieving medical processes to assess the quality of care. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7969 LNAI 2013. pp. 233-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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