Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies 2019
DOI: 10.5220/0007392903320339
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Process Mining in Frail Elderly Care: A Literature Review

Abstract: Process mining has proved to be a valuable technique for extracting process knowledge from data within information systems. Much work has been conducted in applying process mining to domains such as logistics, banking, transportation and many areas of the government, including healthcare. Frail elderly people who have an increased risk of adverse outcomes are amongst the main users of healthcare services and understanding healthcare processes for the frail elderly is challenging because of their diverse and co… Show more

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Cited by 14 publications
(8 citation statements)
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References 29 publications
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“…Recent research evaluated process mining in several settings, e.g., oncology [13], elderly care [14], and health care in general [15,16]. Even though different views on enterprises, including production firms, have been examined, e.g., the supply chain [17], we find production itself is not at the center of interest [18].…”
Section: Introductionmentioning
confidence: 79%
“…Recent research evaluated process mining in several settings, e.g., oncology [13], elderly care [14], and health care in general [15,16]. Even though different views on enterprises, including production firms, have been examined, e.g., the supply chain [17], we find production itself is not at the center of interest [18].…”
Section: Introductionmentioning
confidence: 79%
“…Moreover, dedicated literature reviews have been published on process mining for oncology [48], cardiology [49], primary care [50], and frail elderly care [51].…”
Section: Applications Of Process Mining In Healthcarementioning
confidence: 99%
“…Farid et al (2019)) reviewed eight papers where PM techniques were applied to the care of frail elderly people. The authors presented the results referring to five emerging themes, namely, geographical location, analysis methodology, source data types, adopted process, medical context and open challenges.…”
Section: Related Workmentioning
confidence: 99%