LEVERAGING AI, BLOCKCHAIN, AND IOT TECHNOLOGIES FOR TRANSFORMATIVE HEALTHCARE: ENHANCING DATA SECURITY, PRIVACY, AND OPERATIONAL INTELLIGENCE

Healthcare facilities integrate Artificial Intelligence along with smart systems and the Internet of Things for their coreoperations to enhance security functions and operational intelligence systems as well as improve privacy capabilities.Through technological innovations healthcare service delivery has experienced significant changes that affect patientsalong with healthcare provider operational actions. The integration between clinical trials and patient care managementsystems through public health strategies underwent revolutionary changes because of predictive methods in machinelearning supported by IoT devices. The combination of advances in digital medicine through genomics and artificialintelligence technologies is transforming medical approaches and healthcare staff adopts new methods to operate thesesystems. The ELIM feature makes digital health technology stronger by tracking patient health information andcontrolling drug management through contemporary digital devices that deliver better satisfaction outcomes. Healthcarefacilities today rely on essential data protection principles that lead to doctor practice challenges regarding AI-assistedclinical care because of legal sharing restrictions. Secure data and ethical decision frameworks, as well as regulationmodels, require multiple designed solutions that need clear accountability systems for their enforcement. Healthcare AIdevelopment needs ethical frameworks to optimize medical facility quality improvement and the deployment of helpfulapplications. Fast-changing healthcare management stems from medical professionals adapting well to artificialintelligence resulting in superior advancements from scientific investigations. Healthcare organizations use this novelapproach to provide individualized medical assistance through population-based treatments at reduced expenses andenhanced practical results and clinical measures. Machine learning technology enables healthcare operations to developmedical breakthroughs and thus produce optimized healthcare services and procedures.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-09
DOI
https://doi.org/10.5281/zenodo.15374684
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

LEVERAGING AI, BLOCKCHAIN, AND IOT TECHNOLOGIES FOR TRANSFORMATIVE HEALTHCARE: ENHANCING DATA SECURITY, PRIVACY, AND OPERATIONAL INTELLIGENCE

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

LEVERAGING AI, BLOCKCHAIN, AND IOT TECHNOLOGIES FOR TRANSFORMATIVE HEALTHCARE: ENHANCING DATA SECURITY, PRIVACY, AND OPERATIONAL INTELLIGENCE

article en

Abstract

Healthcare facilities integrate Artificial Intelligence along with smart systems and the Internet of Things for their coreoperations to enhance security functions and operational intelligence systems as well as improve privacy capabilities.Through technological innovations healthcare service delivery has experienced significant changes that affect patientsalong with healthcare provider operational actions. The integration between clinical trials and patient care managementsystems through public health strategies underwent revolutionary changes because of predictive methods in machinelearning supported by IoT devices. The combination of advances in digital medicine through genomics and artificialintelligence technologies is transforming medical approaches and healthcare staff adopts new methods to operate thesesystems. The ELIM feature makes digital health technology stronger by tracking patient health information andcontrolling drug management through contemporary digital devices that deliver better satisfaction outcomes. Healthcarefacilities today rely on essential data protection principles that lead to doctor practice challenges regarding AI-assistedclinical care because of legal sharing restrictions. Secure data and ethical decision frameworks, as well as regulationmodels, require multiple designed solutions that need clear accountability systems for their enforcement. Healthcare AIdevelopment needs ethical frameworks to optimize medical facility quality improvement and the deployment of helpfulapplications. Fast-changing healthcare management stems from medical professionals adapting well to artificialintelligence resulting in superior advancements from scientific investigations. Healthcare organizations use this novelapproach to provide individualized medical assistance through population-based treatments at reduced expenses andenhanced practical results and clinical measures. Machine learning technology enables healthcare operations to developmedical breakthroughs and thus produce optimized healthcare services and procedures.

Zenodo (CERN European Organization for Nuclear Research)
Manipal Academy of Higher Education (IN)
Openalex Percentile: Top 58%
Artificial Intelligence in Healthcare and Education
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LEVERAGING AI, BLOCKCHAIN, AND IOT TECHNOLOGIES FOR TRANSFORMATIVE HEALTHCARE: ENHANCING DATA SECURITY, PRIVACY, AND OPERATIONAL INTELLIGENCE · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS