Priyadarshini Pattanaik

Work place: Faculty of Computer Science and Informatics, Berlin School of Business & Innovation (BSBI), Berlin, Germany

E-mail: ppattanaik055@gmail.com

Website: https://orcid.org/0000-0001-5058-5471

Research Interests:

Biography

Priyadarshini Pattanaik is currently a Senior Researcher with the Faculty of Computer Science and Informatics, Berlin School of Business and Innovation (BSBI), Berlin, presents her area of expertise on medical image analysis and visualization, machine learning (deep learning), computer vision, applied mathematics, and robotics. Her recent project is dedicated to the idea of developing concepts and tools to address one of the great challenges of the musculoskeletal (MSK) field: Understanding and exploiting the link between the shape and the function of a joint. She has many publications at high-impact research journals and conferences. Her Ph.D. thesis was on machine-learning-based classification of microscopic blood smear images for early detection of malaria.

Author Articles
Impact of Cybersecurity Measures in the Healthcare Sector: A Comprehensive Review of Contemporary Approaches and Emerging Trends

By Sapna Kumari Priyadarshini Pattanaik Mohammad Zubair Khan

DOI: https://doi.org/10.5815/ijeme.2024.06.01, Pub. Date: 8 Dec. 2024

The digital transformation of the healthcare sector has revolutionized operational efficiency and patient care, yet concurrently exposed healthcare organizations to unprecedented cybersecurity risks, jeopardizing patient confidentiality and organizational integrity. This study undertakes a comprehensive investigation into contemporary cybersecurity strategies and emerging trends within the healthcare industry. Through a meticulous examination of published literature from reputable databases, including PubMed/MEDLINE, CINAHL, and Web of Science, critical patterns and vulnerabilities are discerned, underlining the escalating frequency and severity of cyber threats such as ransomware and phishing attacks. Emphasizing the pivotal role of organizational cyber resilience governance and policies, the study identifies a notable gap in standardized cybersecurity risk assessment methodologies, signaling the urgent need for innovative approaches. In response to identified challenges, the research proposes the development of novel methodologies to fortify cybersecurity defenses and protect patient data. Leveraging cutting-edge technologies such as blockchain and artificial intelligence, the study advocates for proactive measures to mitigate emerging threats and ensure data security and patient privacy in healthcare environments. Moreover, the integration of end-to-end security measures and the adoption of DevOps methodologies are highlighted as promising avenues for enhancing cybersecurity resilience. Results from a systematic literature review underscore the imperative for ongoing research and collaboration to address cybersecurity challenges in healthcare effectively. By offering insights into key cybersecurity features, technologies, and responsibilities within the healthcare sector, this study aims to inform stakeholders and policymakers, facilitating the implementation of robust cybersecurity measures. Furthermore, the study presents key findings regarding the current state of cybersecurity in healthcare, including challenges faced and potential solutions identified through the research process. Ultimately, through concerted efforts and the utilization of innovative strategies, healthcare organizations can navigate the evolving cybersecurity landscape, safeguarding patient information and upholding the integrity of healthcare systems.

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