Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector

Descripción del Articulo

Medicine has evolved over time, utilizing technology to automate its relevant processes and expedite healthcare delivery. A notable example is electronic medical records, which would facilitate a doctor’s task when recording them, as it often becomes cumbersome and involves wasted time. However, man...

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Detalles Bibliográficos
Autores: Campos, Alexis, Suarez, Bradd, Mansilla, Juan Pablo
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/676088
Enlace del recurso:http://hdl.handle.net/10757/676088
Nivel de acceso:acceso embargado
Materia:Artificial Intelligence
Chatbots
Medical Records
Natural Language Processing
Virtual Assistant
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dc.title.es_PE.fl_str_mv Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
title Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
spellingShingle Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
Campos, Alexis
Artificial Intelligence
Chatbots
Medical Records
Natural Language Processing
Virtual Assistant
title_short Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
title_full Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
title_fullStr Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
title_full_unstemmed Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
title_sort Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector
author Campos, Alexis
author_facet Campos, Alexis
Suarez, Bradd
Mansilla, Juan Pablo
author_role author
author2 Suarez, Bradd
Mansilla, Juan Pablo
author2_role author
author
dc.contributor.author.fl_str_mv Campos, Alexis
Suarez, Bradd
Mansilla, Juan Pablo
dc.subject.es_PE.fl_str_mv Artificial Intelligence
Chatbots
Medical Records
Natural Language Processing
Virtual Assistant
topic Artificial Intelligence
Chatbots
Medical Records
Natural Language Processing
Virtual Assistant
description Medicine has evolved over time, utilizing technology to automate its relevant processes and expedite healthcare delivery. A notable example is electronic medical records, which would facilitate a doctor’s task when recording them, as it often becomes cumbersome and involves wasted time. However, many healthcare specialists with a higher age demographic find it challenging to adapt to digital or virtual environments for the completion of these medical records, which would streamline their documentation. Therefore, the focus of this present study is on a virtual assistant that, employing natural language processing, will serve the purpose of resolving the described problem, all through voice commands. The system was validated through a testing scenario with a sample of thirty users, using a success indicator that measures the percentage reduction in the time required to complete a medical history. Consequently, an average reduction of 54.1% in the time required for medical history recording was achieved. Additionally, 70% of the participants perceived that the virtual assistant would contribute to the optimization of medical history recording. Likewise, 80% considered the user interface to be pleasant and intuitive.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-10-11T08:09:32Z
dc.date.available.none.fl_str_mv 2024-10-11T08:09:32Z
dc.date.issued.fl_str_mv 2024-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.issn.none.fl_str_mv 18650929
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-031-58953-9_2
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/676088
dc.identifier.eissn.none.fl_str_mv 18650937
dc.identifier.journal.es_PE.fl_str_mv Communications in Computer and Information Science
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dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85196108022
identifier_str_mv 18650929
10.1007/978-3-031-58953-9_2
18650937
Communications in Computer and Information Science
2-s2.0-85196108022
SCOPUS_ID:85196108022
url http://hdl.handle.net/10757/676088
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv Springer Science and Business Media Deutschland GmbH
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instname:Universidad Peruana de Ciencias Aplicadas
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instname_str Universidad Peruana de Ciencias Aplicadas
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dc.source.journaltitle.none.fl_str_mv Communications in Computer and Information Science
dc.source.volume.none.fl_str_mv 2050 CCIS
dc.source.beginpage.none.fl_str_mv 18
dc.source.endpage.none.fl_str_mv 30
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spelling c4308b02db8eb2583ec0f0fff237f3b9996338d5b0daa99e013b62cee94e6e3a300bdbc32ed76a48b6165f7ff2019a1ce36Campos, AlexisSuarez, BraddMansilla, Juan Pablo2024-10-11T08:09:32Z2024-10-11T08:09:32Z2024-01-011865092910.1007/978-3-031-58953-9_2http://hdl.handle.net/10757/67608818650937Communications in Computer and Information Science2-s2.0-85196108022SCOPUS_ID:85196108022Medicine has evolved over time, utilizing technology to automate its relevant processes and expedite healthcare delivery. A notable example is electronic medical records, which would facilitate a doctor’s task when recording them, as it often becomes cumbersome and involves wasted time. However, many healthcare specialists with a higher age demographic find it challenging to adapt to digital or virtual environments for the completion of these medical records, which would streamline their documentation. Therefore, the focus of this present study is on a virtual assistant that, employing natural language processing, will serve the purpose of resolving the described problem, all through voice commands. The system was validated through a testing scenario with a sample of thirty users, using a success indicator that measures the percentage reduction in the time required to complete a medical history. Consequently, an average reduction of 54.1% in the time required for medical history recording was achieved. Additionally, 70% of the participants perceived that the virtual assistant would contribute to the optimization of medical history recording. Likewise, 80% considered the user interface to be pleasant and intuitive.application/htmlengSpringer Science and Business Media Deutschland GmbHinfo:eu-repo/semantics/embargoedAccessArtificial IntelligenceChatbotsMedical RecordsNatural Language ProcessingVirtual AssistantVirtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sectorinfo:eu-repo/semantics/articleCommunications in Computer and Information Science2050 CCIS1830reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/676088/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/676088oai:repositorioacademico.upc.edu.pe:10757/6760882024-10-11 08:09:34.214Repositorio académico upcupc@openrepository.comTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=
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