Paper Title
AI-Driven Data Security in Healthcare: Safeguarding Data and Financial Transactions
Article Identifiers
: Authors
Keywords
Customer Relationship Management (CRM), CRM systems, Customer data management, Industry 4.0, XAI,EHR(electronic health records),HIPAA,GDPR,HIC(Health insurance Claim),AI(Artificial Intelligence), SVM(Support Vector Machine), KNN, VFDT(Very fast decision tree), Blockchain,Hyperledger
Abstract
The healthcare sector is currently experiencing a transformative digital revolution propelled by advancements in electronic health records (EHRs), telemedicine, and wearable technology. These innovations offer a multitude of benefits, including enhanced patient care and accelerated medical research.Digitalization in healthcare has revolutionized patient care and medical research. EHRs enable seamless sharing of patient information among healthcare providers, leading to more accurate diagnoses and effective treatments. Telemedicine enhances accessibility, particularly for patients in remote areas, while wearable technology provides continuous health monitoring, facilitating early detection of potential health issues.AI is emerging as a powerful tool to address the data privacy challenges posed by healthcare digitalization and the integration of AI with blockchain technology represents a promising trend in healthcare data privacy. AI-driven data privacy measures can also significantly benefit Customer Relationship Management (CRM) systems in healthcare by securing patient data and ensuring compliance with regulations like HIPAA and GDPR. Real-world case studies illustrate AI's effectiveness, such as a large healthcare organization that implemented an AI-driven security systems. However, they also present significant challenges, particularly regarding the privacy and security of healthcare data. Ensuring the security of sensitive medical information is paramount, as breaches can result in fraud, identity theft, and erosion of patient trust. Traditional data protection methods are increasingly inadequate in the face of evolving cyber threats, necessitating more sophisticated solutions. Digitalization also poses significant data privacy and security challenges. The sensitive nature of medical data makes it a prime target for cybercriminals. Data breaches can result in severe consequences, including financial fraud, identity theft, and loss of patient trust. This whitepaper explores the critical role of artificial intelligence (AI) and Blockchain in safeguarding healthcare data privacy, examining emerging trends, strategies, regulatory frameworks, and real-world case studies.
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How To Cite (APA)
Suman Deep, Saurabh Kumar, & Pourush Kalra (June-2024). AI-Driven Data Security in Healthcare: Safeguarding Data and Financial Transactions. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), b860-b868. https://ijnrd.org/papers/IJNRD2406185.pdf
Issue
Volume 9 Issue 6, June-2024
Pages : b860-b868
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Paper Reg. ID: IJNRD_222864
Published Paper Id: IJNRD2406185
Downloads: 000122253
Research Area: Science & Technology
Author Type: Foreign Author
Country: Dublin, CA, United States
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406185.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406185
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