Ensuring Data Security and Compliance in ETL Processes for Healthcare and Financial Services DOI Creative Commons

Santosh Kumar Singu

International Journal of Computing and Engineering, Journal Year: 2024, Volume and Issue: 6(7), P. 1 - 11

Published: Nov. 24, 2024

Purpose: This study explores the critical role of ETL (Extract, Transform, Load) processes in managing data within highly regulated industries such as healthcare and finance. It highlights challenges posed by stringent legal frameworks like HIPAA health sector GDPR finance while emphasizing importance ensuring compliance improving utility. Methodology: The research examines application consolidating transforming for organizational use, with specific examples from (e.g., Electronic Health Records) financial sectors Basel III reporting). also reviews current best practices addressing data-related challenges, including governance, encryption, validation, containerization. Findings: Key include privacy, regulatory compliance, quality issues, technical limitations. However, implementing robust advanced encryption methods, intelligent validation mechanisms, containerized workflows significantly mitigates these risks. These ensure secure handling enhance standards. Unique Contribution to Theory, Policy Practice: contributes theoretical understanding a linchpin management environments. offers policy insights into how organizations can meet requirements effectively. Practically, it provides actionable recommendations adopt practices, secure, efficient, legally compliant operations. advancements strengthen client trust, reduce risks, empower leverage strategic advantage.

Language: Английский

An overview of methods and techniques in multimodal data fusion with application to healthcare DOI
Siwar Chaabene, Amal Boudaya, Bassem Bouaziz

et al.

International Journal of Data Science and Analytics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Language: Английский

Citations

2
Ecosystem of Aviation Maintenance: Transition from Aircraft Health Monitoring to Health Management Based on IoT and AI Synergy DOI Creative Commons
Igor Kabashkin, Vladimir Perekrestov

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4394 - 4394

Published: May 22, 2024

This paper presents an in-depth exploration of the transformative impact integrating Internet Things (IoT), cloud computing, and artificial intelligence (AI) within domain aviation maintenance. It articulates transition from conventional health monitoring practices to a more advanced, comprehensive management approach, leveraging these modern technologies. emphasizes pivotal shift reactive maintenance strategies proactive predictive paradigms, facilitated by real-time data collection capabilities IoT devices analytical prowess AI. not only enhances safety reliability flight operations but also optimizes procedures, thereby reducing operational costs improving efficiency. meticulously outlines implementation challenges, including technological integration, regulatory compliance, security concerns, while proposing future research agenda address issues further harness potential technologies in revolutionizing

Language: Английский

Citations

13
Smart Solutions for Diet-Related Disease Management: Connected Care, Remote Health Monitoring Systems, and Integrated Insights for Advanced Evaluation DOI Creative Commons

Laura-Ioana Coman,

Marilena Ianculescu,

Elena-Anca Paraschiv

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 2351 - 2351

Published: March 11, 2024

The prevalence of diet-related diseases underscores the imperative for innovative management approaches. deployment smart solutions signifies a paradigmatic evolution, capitalising on advanced technologies to enhance precision and efficacy. This paper aims present explore diseases, focusing leveraging technologies, such as connected care, Internet Medical Things (IoMT), remote health monitoring systems (RHMS), address rising diseases. transformative approach is exemplified in case studies tailored RHMS capabilities. showcase potential three introducing novel evaluation method their customisation proactive conditions influenced by dietary habits. RO-SmartAgeing System uniquely addresses age-related aspects, providing an integrated that considers long-term impact choices ageing, marking perspective healthcare. NeuroPredict Platform, complex neuroinformatics, enhances understanding connections between brain health, nutrition, overall well-being, contributing insights healthcare assessments. Focused liver monitoring, HepatoConect system delivers real-time data personalized recommendations, offering distinctive disease management. By integrating cutting-edge these transcend traditional boundaries.

Language: Английский

Citations

10
Smart Healthcare System and Internet of Medical Things DOI

Zuber Peermohammed Shaikh

Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 59 - 82

Published: Jan. 17, 2025

These comprehensive review has illuminated the multifaceted role of Internet Medical Things(IoMT) in healthcare, showcasing a wide array use cases that span from patient monitoring and Personalized Medicine to clinical operations telehealth services. The benefits IoT healthcare are profound, contributing improved care through personalized treatment plans early detection diseases, enhanced operational efficiency by streamlining processes, facilitated data-driven decision-making analysis real-time health data. Looking forward, integration IoMT presents numerous opportunities for further research technological development. Key areas future exploration include advancement AI machine learning algorithms/datasets generated devices, improving outcomes predictive models. focuses on diverse applications including but not limited remote monitoring, telehealth, wearable technologies, smart facilities.

Language: Английский

Citations

0
Big Data Analytics in Bioinformatics and Healthcare DOI
Zaharaddeen Karami Lawal, Rufai Yusuf Zakari, Navod Neranjan Thilakarathne

et al.

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 71 - 95

Published: Jan. 1, 2025

Language: Английский

Citations

0
Big Data’s Impact on Healthcare and Bioinformatics DOI
Kassim Kalinaki, Abubakar Kalinaki

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 51

Published: Jan. 1, 2025

Language: Английский

Citations

0
Improving community health centres with big data analytics: A systematic literature review on adoption DOI Creative Commons
Pascal Ndikuyeze,

Phahlane Mampilo

Digital Health, Journal Year: 2025, Volume and Issue: 11

Published: May 1, 2025

Introduction Implementing Big Data Analytics (BDA) could enhance the efficiency and effectiveness of Community Health Centres (CHCs). This study focuses on improving healthcare service delivery in CHCs located Nkangala District through adoption BDA. It identifies a specific research gap seeks to consolidate existing knowledge while revealing challenges opportunities BDA implementation. Methods literature review was conducted using systematic method that adheres PRISMA principles. The process involved identification selection peer-reviewed publications English up 2024. search carried out among several major academic databases, including PubMed, Taylor & Francis Online, Google Scholar, IEEE Xplore, SpringerLink, ScienceDirect, JSTOR. Specific terms related data-driven approaches were used. inclusion criteria focused studies addressing implementation CHCs, exclusion eliminated not relevant this context. selected analysed assess state, identify key themes, highlight gaps within CHCs. Results A total 31 met criteria, demonstrating variability design, geographic location, focus areas synthesis results unveiled common challenges, best practices, outcomes associated with implementation, technological, organizational, human factors influencing successful integration. Conclusion development methodologies present evidence limitations such as heterogeneity designs, restricted generalizability, quality. Additionally, short duration many complicates evaluation their long-term impacts. Despite these transformative potential highlights necessity for further strategies address gaps.

Language: Английский

Citations

0
Implications of Big Data Analytics, Artificial Intelligence, Machine Learning, and Deep Learning in the healthcare System of Bangladesh: A scoping review (Preprint) DOI Creative Commons
Md Ashraful Alam, Md Refat Uz Zaman Sajib, Fariya Rahman

et al.

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e54710 - e54710

Published: Sept. 12, 2024

Background The rapid advancement of digital technologies, particularly in big data analytics (BDA), artificial intelligence (AI), machine learning (ML), and deep (DL), is reshaping the global health care system, including Bangladesh. increased adoption these technologies delivery within Bangladesh has sparked their integration into public research, resulting a noticeable surge related studies. However, critical gap exists, as there lack comprehensive evidence regarding research landscape; regulatory challenges; use cases; application BDA, AI, ML, DL system This impedes attainment optimal results. As leading implementer bridging this urgent for effective advancing technologies. Objective scoping review aims to collate (1) existing Bangladesh’s using aforementioned synthesizing findings, (2) limitations faced by researchers integrating research. Methods MEDLINE (via PubMed), IEEE Xplore, Scopus, Embase databases were searched identify published articles between January 1, 2000, September 10, 2023, meeting following inclusion criteria: any study datasets predicting issues forecasting kind outbreak; studies primarily focusing on Bangladesh; (3) original peer-reviewed journals conference proceedings written English. Results With initial search, we identified 1653 Following exclusion criteria full-text review, 4.66% (77/1653) finally included review. There was substantial increase over last 5 years (2017-2023). Among 77 studies, majority (n=65, 84%) used ML models. A smaller proportion incorporated AI (4/77, 5%), (7/77, 9%), BDA (1/77, 1%) reviewed articles, 52% (40/77) relied primary data, while remaining 48% (37/77) secondary data. areas focus infectious diseases (15/77, 19%), noncommunicable (23/77, 30%), child (11/77, 14%), mental (9/77, 12%). Conclusions highlights remarkable progress leveraging system. observed underscores increasing significance Notably, most (65/77, focused models, unveiling opportunities advancements predictive modeling. encapsulates current state technological propels us promising era future

Language: Английский

Citations

3
Mimicking Healthcare in Meta-Health DOI
Sonali Vyas, Sunil Gupta, Abhishek Tyagi

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
The impact of digital health technologies on pharmacy services and patient care DOI Open Access

Huda Ahmed Alsoweih,

Ali Abdullah Fageehi,

Jubran Hussain Hadadi

et al.

International Journal of Community Medicine and Public Health, Journal Year: 2024, Volume and Issue: 11(5), P. 2059 - 2064

Published: April 15, 2024

This comprehensive review delves into the profound impact of digital health technologies on landscape pharmacy services and patient care. The integration electronic prescribing medication adherence apps, tele-pharmacy has revolutionized management in pharmacies. amalgamation not only streamlined processes but also significantly minimized errors, leading to enhanced operational efficiency. Pharmacists, equipped with wearable devices, now engage remote monitoring, allowing for personalized interventions proactive healthcare strategies. incorporation genomic data, data analytics, clinical decision support systems marks a transformative shift towards precision medicine within These empower pharmacists design tailored treatment plans based individual genetic profiles, thereby optimizing therapeutic outcomes. As pharmacies increasingly embrace these tools, they metamorphose dynamic hubs. Beyond traditional roles, offer virtual consultations actively participate education initiatives. paradigm underscores commitment patient-centered care, exemplified by improved safety more interconnected ecosystem. ongoing holds promise continued advancements services. trajectory signifies significant departure proactive, personalized, technologically driven approach potential redefining role elevating standards delivery.

Language: Английский

Citations

2