Literature DB >> 27109932

Process mining in healthcare: A literature review.

Eric Rojas1, Jorge Munoz-Gama2, Marcos Sepúlveda3, Daniel Capurro4.   

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Case studies; Healthcare; Literature review; Process mining; Processes

Mesh:

Year:  2016        PMID: 27109932     DOI: 10.1016/j.jbi.2016.04.007

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  40 in total

1.  The bird's-eye view: A data-driven approach to understanding patient journeys from claims data.

Authors:  Katherine Bobroske; Christine Larish; Anita Cattrell; Margrét V Bjarnadóttir; Lawrence Huan
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

2.  Using Process Mining Techniques to Study Workflows in a Pre-operative Setting.

Authors:  Adela Grando; Danielle Groat; Stephanie K Furniss; Joshua Nowak; Regina Gaines; David R Kaufman; Karl A Poterack; Tim Miksch; Richard A Helmers
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  Evaluation of Trace Alignment Quality and its Application in Medical Process Mining.

Authors:  Moliang Zhou; Sen Yang; Xinyu Li; Shuyu Lv; Shuhong Chen; Ivan Marsic; Richard Farneth; Randall Burd
Journal:  IEEE Int Conf Healthc Inform       Date:  2017-09-14

4.  An ICT-Based Platform to Monitor Protocols in the Healthcare Environment.

Authors:  Víctor M Alonso Rorís; Juan M Santos Gago; Luis Álvarez Sabucedo; Mateo Ramos Merino; Javier Sanz Valero
Journal:  J Med Syst       Date:  2016-09-13       Impact factor: 4.460

5.  Careflow Mining Techniques to Explore Type 2 Diabetes Evolution.

Authors:  Arianna Dagliati; Valentina Tibollo; Giulia Cogni; Luca Chiovato; Riccardo Bellazzi; Lucia Sacchi
Journal:  J Diabetes Sci Technol       Date:  2018-03

6.  Process Mining of Incoming Patients with Sepsis.

Authors:  Renee M Hendricks
Journal:  Online J Public Health Inform       Date:  2019-09-19

7.  An optimal control policy in fighting COVID-19 and infectious diseases.

Authors:  Hamid R Sayarshad
Journal:  Appl Soft Comput       Date:  2022-07-09       Impact factor: 8.263

8.  An approach to automatic process deviation detection in a time-critical clinical process.

Authors:  Sen Yang; Aleksandra Sarcevic; Richard A Farneth; Shuhong Chen; Omar Z Ahmed; Ivan Marsic; Randall S Burd
Journal:  J Biomed Inform       Date:  2018-07-31       Impact factor: 6.317

9.  Process-oriented Iterative Multiple Alignment for Medical Process Mining.

Authors:  Shuhong Chen; Sen Yang; Moliang Zhou; Randall S Burd; Ivan Marsic
Journal:  IEEE Int Conf Data Min Workshops       Date:  2017-12-18

10.  Process mining to optimize palliative patient flow in a high-volume radiotherapy department.

Authors:  L Placidi; L Boldrini; J Lenkowicz; S Manfrida; R Gatta; A Damiani; S Chiesa; F Ciellini; V Valentini
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2021-03-01
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