Process mining applications in healthcare: a systematic literature review
Process mining applications in healthcare is a field widely investigated in the last years. Its diffusion is driven by increasing digitalization and the availability of large quantities of clinical data, enabling hospitals, clinics, and other healthcare organizations to optimize workflows, reduce op...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2025-01-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-2613.pdf |
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| author | Lerina Aversano Martina Iammarino Antonella Madau Giuseppe Pirlo Gianfranco Semeraro |
| author_facet | Lerina Aversano Martina Iammarino Antonella Madau Giuseppe Pirlo Gianfranco Semeraro |
| author_sort | Lerina Aversano |
| collection | DOAJ |
| description | Process mining applications in healthcare is a field widely investigated in the last years. Its diffusion is driven by increasing digitalization and the availability of large quantities of clinical data, enabling hospitals, clinics, and other healthcare organizations to optimize workflows, reduce operational costs, and improve asset management. The importance of process mining lies in its potential to identify inefficiencies in processes, standardize clinical practices, support evidence-based decisions and, in general, improve the quality of care provided. The article aims to systematically review the research landscape in the field of process mining in healthcare, providing an in-depth understanding of how process mining is applied in healthcare. It contributes to the existing literature by highlighting the following aspects: the specific research topics covered (i), the extent of use of various process mining algorithms in different healthcare applications, showing their adaptability and effectiveness in specific contexts (ii), and, finally, the types and characteristics of data employed in these studies, highlighting the needs and challenges related to data in healthcare process mining (iii). Through this systematic literature review, the article can support researchers in identifying the most valuable research topic to be explored by the scientific community working on process mining in healthcare. To achieve this goal, several articles focusing on the algorithms and data employed were selected and analyzed. The final discussion highlights current research gaps, suggesting future areas of investigation, and identifies critical issues and vulnerabilities of existing process mining applications in healthcare. |
| format | Article |
| id | doaj-art-3d3de613f56d4173872cc4c10bb3717e |
| institution | Kabale University |
| issn | 2376-5992 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj-art-3d3de613f56d4173872cc4c10bb3717e2025-01-30T15:05:12ZengPeerJ Inc.PeerJ Computer Science2376-59922025-01-0111e261310.7717/peerj-cs.2613Process mining applications in healthcare: a systematic literature reviewLerina Aversano0Martina Iammarino1Antonella Madau2Giuseppe Pirlo3Gianfranco Semeraro4Department of Agricultural Science, Food, Natural Resources and Engineering, University of Foggia, Foggia, ItalyDepartment of Information Science and Technology, Pegaso University, Naples, ItalyDepartment of Engineering, University of Sannio, Benevento, ItalyDepartment of Computer Science, University of Bari Aldo Moro, Bari, ItalyDepartment of Science Technology and Society, University School for Advanced Studies IUSS Pavia, Pavia, ItalyProcess mining applications in healthcare is a field widely investigated in the last years. Its diffusion is driven by increasing digitalization and the availability of large quantities of clinical data, enabling hospitals, clinics, and other healthcare organizations to optimize workflows, reduce operational costs, and improve asset management. The importance of process mining lies in its potential to identify inefficiencies in processes, standardize clinical practices, support evidence-based decisions and, in general, improve the quality of care provided. The article aims to systematically review the research landscape in the field of process mining in healthcare, providing an in-depth understanding of how process mining is applied in healthcare. It contributes to the existing literature by highlighting the following aspects: the specific research topics covered (i), the extent of use of various process mining algorithms in different healthcare applications, showing their adaptability and effectiveness in specific contexts (ii), and, finally, the types and characteristics of data employed in these studies, highlighting the needs and challenges related to data in healthcare process mining (iii). Through this systematic literature review, the article can support researchers in identifying the most valuable research topic to be explored by the scientific community working on process mining in healthcare. To achieve this goal, several articles focusing on the algorithms and data employed were selected and analyzed. The final discussion highlights current research gaps, suggesting future areas of investigation, and identifies critical issues and vulnerabilities of existing process mining applications in healthcare.https://peerj.com/articles/cs-2613.pdfProcess miningHealthcareSystematic review |
| spellingShingle | Lerina Aversano Martina Iammarino Antonella Madau Giuseppe Pirlo Gianfranco Semeraro Process mining applications in healthcare: a systematic literature review PeerJ Computer Science Process mining Healthcare Systematic review |
| title | Process mining applications in healthcare: a systematic literature review |
| title_full | Process mining applications in healthcare: a systematic literature review |
| title_fullStr | Process mining applications in healthcare: a systematic literature review |
| title_full_unstemmed | Process mining applications in healthcare: a systematic literature review |
| title_short | Process mining applications in healthcare: a systematic literature review |
| title_sort | process mining applications in healthcare a systematic literature review |
| topic | Process mining Healthcare Systematic review |
| url | https://peerj.com/articles/cs-2613.pdf |
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