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Process Mining for Healthcare Personalization

Process Mining for Healthcare Personalization

Setrag Khoshafian, Nishan Khoshafian
Copyright: © 2023 |Pages: 26
ISBN13: 9781799889663|ISBN10: 1799889661|EISBN13: 9781799889670
DOI: 10.4018/978-1-7998-8966-3.ch006
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MLA

Khoshafian, Setrag, and Nishan Khoshafian. "Process Mining for Healthcare Personalization." Digital Identity in the New Era of Personalized Medicine, edited by Ingrid Vasiliu-Feltes and Indira Mysore, IGI Global, 2023, pp. 115-140. https://doi.org/10.4018/978-1-7998-8966-3.ch006

APA

Khoshafian, S. & Khoshafian, N. (2023). Process Mining for Healthcare Personalization. In I. Vasiliu-Feltes & I. Mysore (Eds.), Digital Identity in the New Era of Personalized Medicine (pp. 115-140). IGI Global. https://doi.org/10.4018/978-1-7998-8966-3.ch006

Chicago

Khoshafian, Setrag, and Nishan Khoshafian. "Process Mining for Healthcare Personalization." In Digital Identity in the New Era of Personalized Medicine, edited by Ingrid Vasiliu-Feltes and Indira Mysore, 115-140. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-8966-3.ch006

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Abstract

There are many challenges in providing high-quality and personalized treatment to an increasingly demanding patient community. Patient data and treatment data reside with various constituents, including providers, treatment researchers, health plans, employers, and even personal digital devices (i.e., home monitoring devices, Apple Health). There are tremendous opportunities in understanding and optimizing the complexities in personalized patient care and treatment—from a process perspective. A relatively new technology, process mining can fill many of the gaps in analyzing and understanding the patterns and variations of patient treatment. Process mining leverages algorithms that analyze the healthcare value chains. This paper delves deep into process mining for healthcare. Combined with process automation, process mining enables the stakeholders to act upon the process insights or re-engineer the processes to avoid bottlenecks in treatments.

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