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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Autores principales: Del Giorgio Solfa, Federico, Simonato, Fernando Rogelio
Formato: Articulo
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
Big Data Analytics
Machine Learning
Patient Outcomes
Healthcare Delivery
Artificial Intelligence (AI)
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/154616
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-154616
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spelling I19-R120-10915-1546162023-06-23T20:06:35Z http://sedici.unlp.edu.ar/handle/10915/154616 issn:2790-2412 Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery Del Giorgio Solfa, Federico Simonato, Fernando Rogelio 2023 2023-06-23T15:24:57Z en Ciencias Informáticas Big Data Analytics Machine Learning Patient Outcomes Healthcare Delivery Artificial 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 Económicas Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Big Data Analytics
Machine Learning
Patient Outcomes
Healthcare Delivery
Artificial Intelligence (AI)
spellingShingle Ciencias Informáticas
Big Data Analytics
Machine Learning
Patient Outcomes
Healthcare Delivery
Artificial Intelligence (AI)
Del Giorgio Solfa, Federico
Simonato, Fernando Rogelio
Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
topic_facet 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.
format Articulo
Articulo
author Del Giorgio Solfa, Federico
Simonato, Fernando Rogelio
author_facet Del Giorgio Solfa, Federico
Simonato, Fernando Rogelio
author_sort Del Giorgio Solfa, Federico
title Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery
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
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/154616
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AT simonatofernandorogelio bigdataanalyticsinhealthcareexploringtheroleofmachinelearninginpredictingpatientoutcomesandimprovinghealthcaredelivery
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