[Segreteria.iii] Review Request Reminder—MBE-2855

[mbe a aimspress.org]

Dear Dr. Bellazzi,

On 28 September 2022 we invited you to review the following paper for 
Mathematical Biosciences and Engineering:

Type of manuscript: Research article
Title: Clinical pathways using process mining: a case study in Lung Cancer

You can find the abstract at the end of this message. As we have not yet 
heard from you, we would like to confirm that you received our e-mail.

We would be pleased if you could review this manuscript within the next 14 
days. If you need more time to complete the review, please let us know. 
However if you are unable to provide a review, we would appreciate if you 
could let us know quickly, to avoid unnecessary reminders. Please click on 
the following link to accept or decline:

https://aimspress.jams.pub/user/review/review/312641/Gh8VvYJC

Do not hesitate to contact us if you have any queries about this request. We 
look forward to hearing from you soon.

Kind regards,

Huihui Liu
Editorial Assistant
Mathematical Biosciences and Engineering
E-mail: mbe a aimspress.org
https://www.aimspress.com/journal/MBE

-----------------------------------------
Manuscript details:
Journal: Mathematical Biosciences and Engineering 
Type of manuscript: Research article

Abstract: Process mining is a technique capable of helping health managers to 
discover clinical
paths in an automated way for process improvement. This study aimed to 
discover the
clinical paths of patients with lung cancer in a health insurance company in 
Brazil, to
identify the main tests for diagnosis and the main modalities used during the 
treatment
of the disease. We analyzed the clinical pathways of 53 patients who were 
diagnosed
with lung cancer between January 2018 to April 2020. The method had five 
phases,
the first being the context and setting phase, then data extraction, in 
sequence, the
data processing was carried out to, in sequence, apply the process mining 
using
process mining techniques and finally, the results were analyzed and 
analyzed. The
results show how a health process can be mapped with the use of process mining
techniques and how processes can support health managers in the 
decision-making
process. Process maps of the clinical pathways of lung cancer patients show 
delays in
the time of initiation of treatment in radiotherapy and target drug therapy, 
when
compared with the time of other activities. Highly complex exams such as PET 
Scan
and other important diagnostic tests such as tomography were seen to be 
performed
quickly after consultation with the specialist. Continuous monitoring of 
processes using
Process Mining can support managers and decision makers in monitoring these
processes automatically, with the intention of alleviating these delays, 
improving
processes, and assisting in the analysis of complex processes, such as 
oncology.