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Report of a Research Article
Article: Process Mining in Healthcare by R.S. Mansa, W.M.P. van der Aalsta, and Rob J.B. Vanwerschb
Literature Review: Process mining in healthcare: A literature review by Eric Rojas, Jorge Munoz-Gama, Marcos Sepúlveda, and Daniel Capurro
Discussion Findings of the article one
In healthcare, people who work in this system need actionable information to treat the people coming to the hospitals. Employees working in the healthcare system including management, physicians and nurses may need the record, information regarding, costs, and services, medical files and steps to take care of patients. This information has to be provided to caregivers to serve people with efficient healthcare and high-quality services. These are services that can be named as the Hospitals Information System (HIS), and to improve operations and services, hospitals need to adopt this system ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"WjyKWv1i","properties":{"formattedCitation":"(Ismail, Abdullah, & Shamsuddin, 2015)","plainCitation":"(Ismail, Abdullah, & Shamsuddin, 2015)","noteIndex":0},"citationItems":[{"id":498,"uris":["http://zotero.org/users/local/F0XOCTdk/items/AQFSZ8ZX"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/AQFSZ8ZX"],"itemData":{"id":498,"type":"article-journal","title":"Adoption of Hospital Information System (HIS) in Malaysian Public Hospitals","container-title":"Procedia - Social and Behavioral Sciences","collection-title":"Contemporary Issues in Management and Social Science Research.","page":"336-343","volume":"172","source":"ScienceDirect","abstract":"Hospital Information System (HIS) is important to be adopted by the hospitals to improve their operations and services. Despite their importance, only 15.2% of Malaysian Public Hospitals implemented the system through THIS, IHIS and BHIS categories which shows low adoption level of HIS in Malaysia. This study aims to identify factors affecting the HIS adoption across different categories of HIS's hospitals. The finding showed that there are significant differences between factors affecting HIS adoption in the THIS compared to IHIS's hospitals, and THIS and BHIS's hospitals. However there is no significant difference among factors between IHIS with BHIS's hospitals.","DOI":"10.1016/j.sbspro.2015.01.373","ISSN":"1877-0428","journalAbbreviation":"Procedia - Social and Behavioral Sciences","language":"en","author":[{"family":"Ismail","given":"Nurul Izzatty"},{"family":"Abdullah","given":"Nor Hazana"},{"family":"Shamsuddin","given":"Alina"}],"issued":{"date-parts":[["2015",1,27]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Ismail, Abdullah, & Shamsuddin, 2015).
The healthcare reference model was studied, which shows the data of the hospitals. This approach may help to extract the targeted data for the collection of the data required for the cases. During the process of mining, some questions are raised which can be answered with the help of the healthcare reference model. This model gives benefit in creating awareness about all the data in the hospital systems. The model made it easier to access the healthcare data; in fact, several employees of the hospital (MUMC) were surprised because they were able to find more data ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"bYyJPOSm","properties":{"formattedCitation":"(Mans, Schonenberg, Song, van der Aalst, & Bakker, 2015)","plainCitation":"(Mans, Schonenberg, Song, van der Aalst, & Bakker, 2015)","noteIndex":0},"citationItems":[{"id":497,"uris":["http://zotero.org/users/local/F0XOCTdk/items/EZ95DSP3"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/EZ95DSP3"],"itemData":{"id":497,"type":"paper-conference","title":"Process Mining in Healthcare","container-title":"International Conference on Health Informatics (HEALTHINF’08)","page":"118-125","author":[{"family":"Mans","given":"Ronny S."},{"family":"Schonenberg","given":"M. H."},{"family":"Song","given":"M."},{"family":"Aalst","given":"W. M. P.","non-dropping-particle":"van der"},{"family":"Bakker","given":"P. J. M."}],"issued":{"date-parts":[["2015"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Mans, Schonenberg, Song, van der Aalst, & Bakker, 2015).
There was only one article review, which is Process mining in healthcare: A literature review, is discussed below.
Discussion on the review of the article
In this article, the Hospitals Information System is discussed which states that there is a need to enhance HIS to be able to understand the processes in the healthcare system ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"3sVRBsy3","properties":{"formattedCitation":"(Purnawan & Surendro, 2016)","plainCitation":"(Purnawan & Surendro, 2016)","noteIndex":0},"citationItems":[{"id":503,"uris":["http://zotero.org/users/local/F0XOCTdk/items/25T5G8MC"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/25T5G8MC"],"itemData":{"id":503,"type":"paper-conference","title":"Building enterprise architecture for hospital information system","container-title":"2016 4th International Conference on Information and Communication Technology (ICoICT)","publisher":"IEEE","page":"1-6","ISBN":"1-4673-9879-9","author":[{"family":"Purnawan","given":"Dilla Anindita"},{"family":"Surendro","given":"Kridanto"}],"issued":{"date-parts":[["2016"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Purnawan & Surendro, 2016). This article focuses on the implementation strategies, which are commonly used and these strategies may help in the execution of algorithms and the techniques. The direct execution of these algorithms, which are built on the event log manually, and this will allow medical staff and experts to implement the process mining without asking for area specialists.
Findings of the review
The increase in the process of mining for checking and execution of the processes will facilitate the monitoring processes to verify the practices with compliance ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"EZgneuYy","properties":{"formattedCitation":"(Mans, van der Aalst, & Vanwersch, 2015)","plainCitation":"(Mans, van der Aalst, & Vanwersch, 2015)","noteIndex":0},"citationItems":[{"id":508,"uris":["http://zotero.org/users/local/F0XOCTdk/items/UWLZK7EA"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/UWLZK7EA"],"itemData":{"id":508,"type":"chapter","title":"Healthcare Processes","container-title":"Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes","collection-title":"SpringerBriefs in Business Process Management","publisher":"Springer International Publishing","publisher-place":"Cham","page":"11-15","source":"Springer Link","event-place":"Cham","abstract":"Process mining can be used to improve compliance and performance in hospitals and other care organizations. Before analyzing event data, we first provide an overview of the different types of care processes. We distinguish three levels of care: primary, secondary, and tertiary. We characterize five types of healthcare processes and link these to four basic types of data science questions: (a) What happened?, (b) Why did it happen?, (c) What will happen?, and (d) What is the best that can happen? Such questions can be answered using process mining. Using the characteristics of care processes, different questions may be posed. For example, the level of variability may influence the selection of the most suitable process mining technique.","URL":"https://doi.org/10.1007/978-3-319-16071-9_2","ISBN":"978-3-319-16071-9","note":"DOI: 10.1007/978-3-319-16071-9_2","language":"en","author":[{"family":"Mans","given":"Ronny S."},{"family":"Aalst","given":"Wil M. P.","non-dropping-particle":"van der"},{"family":"Vanwersch","given":"Rob J. B."}],"editor":[{"family":"Mans","given":"Ronny S."},{"family":"Aalst","given":"Wil M. P.","non-dropping-particle":"van der"},{"family":"Vanwersch","given":"Rob J. B."}],"issued":{"date-parts":[["2015"]]},"accessed":{"date-parts":[["2019",11,7]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Mans, van der Aalst, & Vanwersch, 2015). The innovative tools, which are used and applied in the healthcare, allow the area specialists to apply the techniques repeatedly for the facilitation of the analysis and datasets required in the healthcare ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"gYUfgwnq","properties":{"formattedCitation":"(Rojas, Munoz-Gama, Sep\\uc0\\u250{}lveda, & Capurro, 2016)","plainCitation":"(Rojas, Munoz-Gama, Sepúlveda, & Capurro, 2016)","noteIndex":0},"citationItems":[{"id":504,"uris":["http://zotero.org/users/local/F0XOCTdk/items/5KG49CVF"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/5KG49CVF"],"itemData":{"id":504,"type":"article-journal","title":"Process mining in healthcare: A literature review","container-title":"Journal of Biomedical Informatics","page":"224-236","volume":"61","source":"ScienceDirect","abstract":"Process Mining focuses on extracting knowledge from data generated and stored in corporate information systems in order to analyze executed processes. In the healthcare domain, process mining has been used in different case studies, with promising results. Accordingly, we have conducted a literature review of the usage of process mining in healthcare. The scope of this review covers 74 papers with associated case studies, all of which were analyzed according to eleven main aspects, including: process and data types; frequently posed questions; process mining techniques, perspectives and tools; methodologies; implementation and analysis strategies; geographical analysis; and medical fields. The most commonly used categories and emerging topics have been identified, as well as future trends, such as enhancing Hospital Information Systems to become process-aware. This review can: (i) provide a useful overview of the current work being undertaken in this field; (ii) help researchers to choose process mining algorithms, techniques, tools, methodologies and approaches for their own applications; and (iii) highlight the use of process mining to improve healthcare processes.","DOI":"10.1016/j.jbi.2016.04.007","ISSN":"1532-0464","shortTitle":"Process mining in healthcare","journalAbbreviation":"Journal of Biomedical Informatics","language":"en","author":[{"family":"Rojas","given":"Eric"},{"family":"Munoz-Gama","given":"Jorge"},{"family":"Sepúlveda","given":"Marcos"},{"family":"Capurro","given":"Daniel"}],"issued":{"date-parts":[["2016",6,1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Rojas, Munoz-Gama, Sepúlveda, & Capurro, 2016).
References
ADDIN ZOTERO_BIBL {"uncited":[],"omitted":[],"custom":[]} CSL_BIBLIOGRAPHY Ismail, N. I., Abdullah, N. H., & Shamsuddin, A. (2015). Adoption of Hospital Information System (HIS) in Malaysian Public Hospitals. Procedia - Social and Behavioral Sciences, 172, 336–343. https://doi.org/10.1016/j.sbspro.2015.01.373
Mans, R. S., Schonenberg, M. H., Song, M., van der Aalst, W. M. P., & Bakker, P. J. M. (2015). Process Mining in Healthcare. International Conference on Health Informatics (HEALTHINF’08), 118–125.
Mans, R. S., van der Aalst, W. M. P., & Vanwersch, R. J. B. (2015). Healthcare Processes. In R. S. Mans, W. M. P. van der Aalst, & R. J. B. Vanwersch (Eds.), Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes (pp. 11–15). https://doi.org/10.1007/978-3-319-16071-9_2
Purnawan, D. A., & Surendro, K. (2016). Building enterprise architecture for hospital information system. 2016 4th International Conference on Information and Communication Technology (ICoICT), 1–6. IEEE.
Rojas, E., Munoz-Gama, J., Sepúlveda, M., & Capurro, D. (2016). Process mining in healthcare: A literature review. Journal of Biomedical Informatics, 61, 224–236. https://doi.org/10.1016/j.jbi.2016.04.007
