Towards a Smart Healthcare Ecosystem: Integrating AI, ML, and Master Data Management

Main Article Content

Prof. Hiroshi Tanaka

Abstract

In the evolving landscape of healthcare, the integration of Artificial Intelligence (AI), Machine Learning (ML), and Master Data Management (MDM) has emerged as a transformative approach towards building a smart healthcare ecosystem. This abstract explores the synergistic potential of AI, ML, and MDM in optimizing patient care, streamlining data governance, and enhancing decision-making processes within healthcare systems. The paper delves into the challenges and opportunities associated with this integration, addressing issues of data quality, governance, and the overarching impact on precision medicine. By critically examining the strategic implementation of AI and ML in conjunction with MDM, this research contributes to the ongoing discourse on innovating healthcare information management. The study sheds light on how this integration can unlock the full potential of healthcare data, paving the way for more efficient and personalized healthcare services.

Downloads

Download data is not yet available.

Article Details

How to Cite
Towards a Smart Healthcare Ecosystem: Integrating AI, ML, and Master Data Management. (2024). International Meridian Journal, 6(6), 1-11. https://meridianjournal.in/index.php/IMJ/article/view/34
Section
Articles

How to Cite

Towards a Smart Healthcare Ecosystem: Integrating AI, ML, and Master Data Management. (2024). International Meridian Journal, 6(6), 1-11. https://meridianjournal.in/index.php/IMJ/article/view/34

References

Smith, J. A., & Johnson, M. R. (2020). "Data Governance in Healthcare: A Comprehensive Review." Journal of Health Informatics, 12(3), 134-152.

Chen, L., & Patel, A. (2019). "Artificial Intelligence in Precision Medicine: Current Trends and Future Challenges." Journal of Medical Research, 25(2), 87-104.

Rodriguez, C., & Tanaka, H. (2018). "Master Data Management Strategies for Healthcare Organizations." International Journal of Information Management, 35(6), 789-797.

Nguyen, A., & Kapoor, R. (2021). "Machine Learning Applications in Healthcare: A Review of Current Trends and Future Directions." Health Informatics Journal, 27(2), 145-163.

Gonzalez, M., & Morales, A. (2017). "AI-driven Decision Support Systems in Healthcare: Opportunities and Challenges." Journal of Health Systems and Policy Research, 23(4), 321-336.

krishna Suryadevara, C. (2023). NOVEL DEVICE TO DETECT FOOD CALORIES USING MACHINE LEARNING. Open Access Repository, 10(9), 52-61.

Atluri, H., & Thummisetti, B. S. P. (2023). Optimizing Revenue Cycle Management in Healthcare: A Comprehensive Analysis of the Charge Navigator System. International Numeric Journal of Machine Learning and Robots, 7(7), 1-13.

Kasula, B. Y. (2024). Ethical Implications and Future Prospects of Artificial Intelligence in Healthcare: A Research Synthesis. International Meridian Journal, 6(6), 1-7.

Kasula, B. Y. (2024). Optimizing Healthcare Delivery: Machine Learning Applications and Innovations for Enhanced Patient Outcomes. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-7.

Pansara, R. (2023). Digital Disruption in Transforming AgTech Business Models for a Sustainable Future. Transactions on Latest Trends in IoT, 6(6), 67-76.

Atluri, H., & Thummisetti, B. S. P. (2022). A Holistic Examination of Patient Outcomes, Healthcare Accessibility, and Technological Integration in Remote Healthcare Delivery. Transactions on Latest Trends in Health Sector, 14(14).

Kasula, B. Y. (2023). Machine Learning Applications in Diabetic Healthcare: A Comprehensive Analysis and Predictive Modeling. International Numeric Journal of Machine Learning and Robots, 7(7).

Kasula, B. Y. (2023). The Role of Blockchain Technology in Securing Electronic Health Records. Transactions on Latest Trends in Artificial Intelligence, 4(4).

Pansara, R. (2023). MDM Governance Framework in the Agtech & Manufacturing Industry. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.

Kasula, B. Y. (2023). Leveraging Natural Language Processing and Machine Learning for Enhanced Content Rating. International Meridian Journal, 5(5).

Kasula, B. Y. (2023). Exploring the Impact of Telemedicine on Patient Engagement and Healthcare Accessibility. International Transactions in Machine Learning, 5(5), 1-7.

Pansara, R. (2023). From fields to factories a technological odyssey in agtech and manufacturing. International Journal of Managment Education for Sustainable Development, 6(6), 1-12.

Kasula, B. Y. (2023). Ethical Considerations in the Adoption of Artificial Intelligence for Mental Health Diagnosis. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-7.

Pansara, R. (2023). Navigating Data Management in the Cloud-Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 6(6), 57-66.

Kasula, B. Y. (2022). Assessing the Effectiveness of Wearable Health Devices in Promoting Lifestyle Changes. International Meridian Journal, 4(4), 1-7.

Kasula, B. Y. (2022). Machine Learning Applications for Early Detection and Intervention in Chronic Diseases. International Transactions in Artificial Intelligence, 6(6), 1-7.

Kasula, B. Y. (2020). Fraud Detection and Prevention in Blockchain Systems Using Machine Learning. International Meridian Journal, 2(2), 1-8.

Pansara, R. (2023). Review & Analysis of Master Data Management in Agtech & Manufacturing industry. International Journal of Sustainable Development in Computing Science, 5(3), 51-59.

Kasula, B. Y. K. (2020). Optimizing Smart Contracts with Machine Learning Techniques in Blockchain. International Journal of Creative Research In Computer Technology and Design, 2(2).

Pansara, R. (2021). “MASTER DATA MANAGEMENT IMPORTANCE IN TODAY’S ORGANIZATION. International Journal of Management (IJM), 12(10).

Kasula, B. Y. (2020). Digital Inclusion in Smart Cities: Bridging the Healthcare Gap through IoT Technologies. International Journal of Sustainable Devlopment in field of IT, 12(12), 1-7.

Pansara, R. (2021). “MASTER DATA MANAGEMENT IMPORTANCE IN TODAY’S ORGANIZATION. International Journal of Management (IJM), 12(10).

Kasula, B. Y. (2019). Enhancing Classification Precision: Exploring the Power of Support-Vector Networks in Machine Learning. International Scientific Journal for Research, 1(1).

Pansara, R. (2023). Cultivating Data Quality to Strategies, Challenges, and Impact on Decision-Making. International Journal of Managment Education for Sustainable Development, 6(6), 24-33.

Kasula, B. Y. (2017). The Role of Edge Computing in Real-Time Analytics for Smart City Healthcare Applications. Transaction on Recent Developments in Industrial IoT, 9(9), 1-7.

Pansara, R. (2023). Unraveling the Complexities of Data Governance with Strategies, Challenges, and Future Directions. Transactions on Latest Trends in IoT, 6(6), 46-56.

Kasula, B. Y. (2017). Machine Learning Unleashed: Innovations, Applications, and Impact Across Industries. International Transactions in Artificial Intelligence, 1(1), 1-7.

Kasula, B. Y. (2024). Advancements in AI-driven Healthcare: A Comprehensive Review of Diagnostics, Treatment, and Patient Care Integration. International Journal of Machine Learning for Sustainable Development, 1(1), 1-5.

Thummisetti, B. S. P., & Atluri, H. (2024). Advancing Healthcare Informatics for Empowering Privacy and Security through Federated Learning Paradigms. International Journal of Sustainable Development in Computing Science, 1(1), 1-16.

Pansara, R. (2023). Seeding the Future by Exploring Innovation and Absorptive Capacity in Agriculture 4.0 and Agtechs. International Journal of Sustainable Development in Computing Science, 5(2), 46-59.

Atluri, H., & Thummisetti, B. S. P. (2024). ENHANCING ANTIBIOTIC PRESCRIBING IN URGENT CARE BY LEVERAGING LARGE LANGUAGE MODELS FOR OPTIMIZED CLINICAL DECISION SUPPORT.

Most read articles by the same author(s)

1 2 3 4 > >>