Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Process Mining for Healthcare Personalization

Process Mining for Healthcare Personalization
View Sample PDF
Author(s): Setrag Khoshafian (Khosh Consulting, USA) and Nishan Khoshafian (Cotiviti, Inc., USA)
Copyright: 2023
Pages: 26
Source title: Digital Identity in the New Era of Personalized Medicine
Source Author(s)/Editor(s): Ingrid Vasiliu-Feltes (University of Miami, USA) and Indira Mysore (Bloqcube Inc., USA)
DOI: 10.4018/978-1-7998-8966-3.ch006


View Process Mining for Healthcare Personalization on the publisher's website for pricing and purchasing information.


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.

Related Content

Mohd Azeem Faizi Noor, Saba Khanum, Taushif Anwar, Manzoor Ansari. © 2023. 20 pages.
Padmavathi U., Narendran Rajagopalan. © 2023. 16 pages.
Chandrasekar Ravi, Praveensankar Manimaran. © 2023. 12 pages.
Jay Kumar Jain, Varsha Jain. © 2023. 18 pages.
Dominik Hromada, Rogério Luís de C. Costa, Leonel Santos, Carlos Rabadão. © 2023. 21 pages.
Santosh Kumar Smmarwar, Govind P. Gupta, Sanjay Kumar. © 2023. 20 pages.
Andreia Robert Lopes, Ana Sofia Dias, Bebiana Sá-Moura. © 2023. 24 pages.
Body Bottom