Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery

Healthcare professionals decide wisely about personalized medicine, treatment plans, and resource allocation by utilizing big data analytics and machine learning. To guarantee that algorithmic recommendations are impartial and fair, however, ethical issues relating to prejudice and data privacy must...

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Bibliographic Details
Authors: Del Giorgio Solfa, Federico, Simonato, Fernando Rogelio
Format: article
Status:Published version
Publication Date:2023
Country:Argentina
Institution:Universidad Nacional de La Plata
Repository:SEDICI (UNLP)
Language:English
OAI Identifier:oai:sedici.unlp.edu.ar:10915/154616
Online Access:http://sedici.unlp.edu.ar/handle/10915/154616
Access Level:Open access
Keyword:Ciencias Informáticas
Big Data Analytics
Machine Learning
Patient Outcomes
Healthcare Delivery
Artificial Intelligence (AI)
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spelling Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare DeliveryDel Giorgio Solfa, FedericoSimonato, Fernando RogelioCiencias InformáticasBig Data AnalyticsMachine LearningPatient OutcomesHealthcare DeliveryArtificial Intelligence (AI)Healthcare professionals decide wisely about personalized medicine, treatment plans, and resource allocation by utilizing big data analytics and machine learning. To guarantee that algorithmic recommendations are impartial and fair, however, ethical issues relating to prejudice and data privacy must be taken into account. Big data analytics and machine learning have a great potential to disrupt healthcare, and as these technologies continue to evolve, new opportunities to reform healthcare and enhance patient outcomes may arise. In order to investigate the patient’s outcomes with empirical evidence, this research was conducted using an online survey to incorporate healthcare professionals, patient’s reviews, and clinical staff. The data were analyzed using SmartPLS 4.0 to predict the structural model. The findings revealed a direct impact as positive influence of using machine learning on healthcare performance and patient outcomes through big data analytics. Moreover, it is evident that this can lead to personalized treatment plans, early interventions, and improved patient outcomes. Additionally, big data analytics can help healthcare providers optimize resource allocation, improve operational efficiency, and reduce costs. The impact of big data analytics on patient outcome and healthcare performance is expected to continue to grow, making it an important area for investment and research.Facultad de Ciencias Económicas2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/154616enginfo:eu-repo/semantics/altIdentifier/issn/2790-2412info:eu-repo/semantics/altIdentifier/doi/10.54489/ijcim.v3i1.235info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2024-05-08T13:18:50Zoai:sedici.unlp.edu.ar:10915/154616Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292024-05-08 13:18:50.445SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
title Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
spellingShingle Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
Del Giorgio Solfa, Federico
Ciencias Informáticas
Big Data Analytics
Machine Learning
Patient Outcomes
Healthcare Delivery
Artificial Intelligence (AI)
title_short Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
title_full Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
title_fullStr Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
title_full_unstemmed Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
title_sort Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
dc.creator.none.fl_str_mv Del Giorgio Solfa, Federico
Simonato, Fernando Rogelio
author Del Giorgio Solfa, Federico
author_facet Del Giorgio Solfa, Federico
Simonato, Fernando Rogelio
author_role author
author2 Simonato, Fernando Rogelio
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Big Data Analytics
Machine Learning
Patient Outcomes
Healthcare Delivery
Artificial Intelligence (AI)
topic Ciencias Informáticas
Big Data Analytics
Machine Learning
Patient Outcomes
Healthcare Delivery
Artificial Intelligence (AI)
description Healthcare professionals decide wisely about personalized medicine, treatment plans, and resource allocation by utilizing big data analytics and machine learning. To guarantee that algorithmic recommendations are impartial and fair, however, ethical issues relating to prejudice and data privacy must be taken into account. Big data analytics and machine learning have a great potential to disrupt healthcare, and as these technologies continue to evolve, new opportunities to reform healthcare and enhance patient outcomes may arise. In order to investigate the patient’s outcomes with empirical evidence, this research was conducted using an online survey to incorporate healthcare professionals, patient’s reviews, and clinical staff. The data were analyzed using SmartPLS 4.0 to predict the structural model. The findings revealed a direct impact as positive influence of using machine learning on healthcare performance and patient outcomes through big data analytics. Moreover, it is evident that this can lead to personalized treatment plans, early interventions, and improved patient outcomes. Additionally, big data analytics can help healthcare providers optimize resource allocation, improve operational efficiency, and reduce costs. The impact of big data analytics on patient outcome and healthcare performance is expected to continue to grow, making it an important area for investment and research.
publishDate 2023
dc.date.none.fl_str_mv 2023
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/154616
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2790-2412
info:eu-repo/semantics/altIdentifier/doi/10.54489/ijcim.v3i1.235
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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