Process mining for the analysis of a Rapid Referral Pathway of Colorectal cancer in an integrated healthcare area in Galicia (Spain)...21st International Conference on Integrated Care (Virtual), May 1-31, 2021.
1. Colorectal cancer (CRC) is one of the most common types of cancer and a rapid referral pathway (RRP) has been developed in Galicia in order to diminish the time of its diagnosis. Process Mining (PM) helps examining and analyzing the data logs from the electronic medical records. We used PM to stu...
| Published in: | International Journal of Integrated Care (IJIC) Vol. 22; pp. 1 - 3 |
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| Main Authors: | , , , |
| Format: | abstract proceedings Journal Article |
| Published: |
Ubiquity Press
2022 Special Issue
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=161074031&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161074031 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15684156 8US jtl: International Journal of Integrated Care (IJIC) issn: 15684156 maglogo: N pubinfo: dt: 2022 Special Issue vid: 22 pid: 83901 pub: Ubiquity Press artinfo: ui: 161074031 161074031 161074031 10.5334/ijic.ICIC21126 161074031 ppf: 1 ppct: 2 formats: tig: atl: Process mining for the analysis of a Rapid Referral Pathway of Colorectal cancer in an integrated healthcare area in Galicia (Spain)...21st International Conference on Integrated Care (Virtual), May 1-31, 2021. aug: au: Said-Criado, Ismael Martínez-Pillado, Modesto Regueiro-Martínez, Antonio Ledo-Rodríguez, Alejandro affil: Instituto De Investigación Sanitaria Galicia Sur, Spain sug: subj: Mining Colorectal Neoplasms Diagnosis Health Care Delivery, Integrated Spain Congresses and Conferences Spain ab: 1. Colorectal cancer (CRC) is one of the most common types of cancer and a rapid referral pathway (RRP) has been developed in Galicia in order to diminish the time of its diagnosis. Process Mining (PM) helps examining and analyzing the data logs from the electronic medical records. We used PM to study those patients finally diagnosed with CRC in an Integrated Area in Galicia along a 3-years period of time. 2. Structured variable data (timestamps and coded data for every activity and event) were extracted from healthcare databases. The moment of extraction of the pathological biopsy was taken as a reference for selecting patients. Process mining analysis was performed to compare processes according to whether or not they were included in the rapid diagnostic pathway. 3. From January 2016 to December 2018, we found 444 cases of CRC. 132 (29,7%) were included in the RRP and 312 were not included (70,3%). Referral to RRP came from Primary Care the 38% of events, 10% from the Emergency department and 52% from the Outpatient consultations. The median time from the colonoscopy request was 7 days in RRP vs 34 days in non-RRP cases. We identify two patterns: first, ""from outpatient consultation to colonoscopy"" is repeated 21% in the RRP, compared to 7% of the cases in the non-RRP; another one, "referral from Emergency department" is the second repeated pattern of the RRP cases (12%), with 20 days of delay until biopsy extraction. 4. Process mining analysis makes it possible to describe the complete care process along the time axis without limitations based on levels of care. We have identified the most frequent usage patterns in both rapid and non-rapid referral pathways. It has also helped to know the real performance of the rapid diagnostic pathways, providing new information with the data registered in the digital electronic health information systems. 5. PM advantages in healthcare management are unbounded and applications are several. Most important one: it leads to better medical treatment, more effectiveness. 6. We easily identify performance patterns in healthcare assistance of CRC patients in an integrated area analysing structured data of Electronic Health Records with Process mining. 7. More long-term studies should be developed to determine the survival and quality of life of patients to determine the impact of PM in RRF in clinical practice and on healthcare related outcomes. 8. Next possible step could be the development of a digital algorithm in Electronic Health Records as a clinical decision support system. pubtype: Academic Journal doctype: abstract proceedings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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