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Lumbar Sciatic Pain Clinical Pathways

Bibliographic Details
Main Author: Fernandes, Filipa de Castro
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/136636
Summary: Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Lumbar Sciatic Pain Clinical PathwaysHealth InsuranceLumbar Sciatic PainClinical PathwaysClusteringAssociation RulesPredictive ModelInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsTo provide a better experience to the clients, insurance companies are beginning to identify clinical pathways (clinical overlooks) of different non-oncological pathologies to deliver a better experience to their clients and reduce costs, by already knowing what needs to be done before, during and after a surgery, which may lead to time and money savings. This report presents a proposed approach to the lumbar sciatic pain pathology clients from the company where this internship was held. This internship had a duration of 12 months. The creation of clinical pathways for the lumbar sciatic pain aims to help stakeholders to take a step back and see what diagnosis bring patients to the need of a surgery, which procedures are done before and after the surgery, and the main surgical procedures in this pathology. Additionally, the costs are measured, and the main providers for each procedure are analysed, in order to provide a better experience to the clients, indicating what lies ahead, where they should go to get the best treatment, and how much they will pay. This approach was composed by a series of phases, such as business understanding, data understanding, cleaning and preparation, and modelling. There were biweekly and monthly meetings with health professionals and doctors to adjust some information that would be useful for the mentioned phases. In addition, a Predictive Model to identify which clients usually go through a lumbar sciatic surgery was built based on historical medical data, so that when clients come with specific diagnosis or already had certain pre-surgery procedures, identified in the main project of this internship, it is possible to be prepared for what will soon happen. The most important results obtained from this approach were the main pre- and post-surgery procedures, the principal surgeries performed, the costs of each procedure and of the main pathways (pre-, day, and post-surgery), which medical providers give the best results, and the types of clients that usually suffer from lumbar sciatic pain pathology.Henriques, Roberto André PereiraRUNFernandes, Filipa de Castro2022-04-19T17:28:12Z2022-04-082022-04-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/136636TID:202993744enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:01:10Zoai:run.unl.pt:10362/136636Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:32:10.487038Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Lumbar Sciatic Pain Clinical Pathways
title Lumbar Sciatic Pain Clinical Pathways
spellingShingle Lumbar Sciatic Pain Clinical Pathways
Fernandes, Filipa de Castro
Health Insurance
Lumbar Sciatic Pain
Clinical Pathways
Clustering
Association Rules
Predictive Model
title_short Lumbar Sciatic Pain Clinical Pathways
title_full Lumbar Sciatic Pain Clinical Pathways
title_fullStr Lumbar Sciatic Pain Clinical Pathways
title_full_unstemmed Lumbar Sciatic Pain Clinical Pathways
title_sort Lumbar Sciatic Pain Clinical Pathways
author Fernandes, Filipa de Castro
author_facet Fernandes, Filipa de Castro
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Fernandes, Filipa de Castro
dc.subject.por.fl_str_mv Health Insurance
Lumbar Sciatic Pain
Clinical Pathways
Clustering
Association Rules
Predictive Model
topic Health Insurance
Lumbar Sciatic Pain
Clinical Pathways
Clustering
Association Rules
Predictive Model
description Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2022
dc.date.none.fl_str_mv 2022-04-19T17:28:12Z
2022-04-08
2022-04-08T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/136636
TID:202993744
url http://hdl.handle.net/10362/136636
identifier_str_mv TID:202993744
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596766410244096

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