Enhancing Clinical Decision Support Systems with Big Data and AI in Medical Informatics
DOI:
https://doi.org/10.56294/mw2024503Keywords:
Clinical Decision Support Systems, Artificial Intelligence, Big Data, Machine Learning, Deep Learning, Natural Language Processing, Real-Time Decision-Making, Healthcare Analytics, Predictive Modeling, Federated LearningAbstract
By allowing real-time diagnostics, predictive analytics, and automated therapy recommendations, the combination of Artificial Intelligence (AI) and Big Data into Clinical Decision Support Systems (CDSS) has changed healthcare decision-making. While AI-driven models use machine learning (ML), deep learning (DL), and natural language processing (NLP) to improve diagnosis accuracy and clinical efficiency, traditional rule-based CDSS suffered constraints in managing complex and dynamic patient data. With an overall increase of over 30% in predictive performance, this research assesses the efficacy of AI-powered CDSS against conventional rule-based models by showing notable accuracy, precision, recall, and F1-score improvement. Streaming data processing, edge artificial intelligence, and federated learning further help real-time decision-making to guarantee scalable AI-based interventions. Widespread use depends on the difficulties of data security, model interpretability, and interoperability being overcome. This research highlights the potential, challenges, and future directions of AI-driven CDSS in improving evidence-based, data-driven, and personalized healthcare solutions.
References
Smith, J., & Brown, K. (2021). Artificial Intelligence in Clinical Decision Support Systems: A Review of Advances and Challenges. Journal of Medical Informatics, 45(2), 123-138.
Johnson, L., & Lee, P. (2020). Big Data Analytics in Healthcare: Enhancing Patient Outcomes with Predictive Modeling. Health Informatics Review, 38(1), 56-72.
Chen, Y., Patel, S., & Kumar, R. (2019). Machine Learning Approaches for Disease Prediction in Clinical Decision Support Systems. IEEE Transactions on Medical Informatics, 12(3), 89-105.
Patel, A., Gupta, M., & Wang, X. (2022). Deep Learning in Medical Imaging: Applications in Diagnosis and Treatment Planning. International Journal of Biomedical Imaging, 29(4), 210-228.
Gupta, R., & Wang, L. (2023). Natural Language Processing in Clinical Decision Support: Extracting Insights from Electronic Health Records. Journal of Computational Healthcare, 50(2), 98-115.
Brown, D., & Martinez, H. (2021). Challenges and Ethical Considerations in AI-Driven CDSS. Journal of Digital Health Ethics, 19(3), 45-60.
Lee, T., & Kim, S. (2022). A Comparative Study of AI Algorithms for Clinical Decision Support: Performance and Interpretability. Journal of AI in Medicine, 23(1), 31-49.
Anderson, P., & Thomas, R. (2020). Big Data in Healthcare: Integration, Challenges, and Future Directions. Health Information Science and Systems, 14(5), 78-92.
C. R. Das. (2015). Social Forestry in Odisha: An Extraordinary International Aided Initiative Towards Revival and Restoration of Forests.. International Journal on Research and Development - A Management Review, 4(2), 28 - 49.
Miller, C., & Carter, J. (2019). The Role of AI in Precision Medicine: CDSS for Personalized Treatment Recommendations. Journal of Medical AI, 11(4), 154-170.
Roberts, L., & Evans, W. (2022). Explainable AI in Healthcare: Bridging the Gap Between Clinicians and Algorithms. International Journal of AI in Healthcare, 9(3), 64-80.
Wilson, D., & Harris, N. (2021). Federated Learning in Clinical Decision Support Systems: Privacy-Preserving AI for Healthcare Data. Journal of Distributed AI, 15(1), 45-62.
Chang, B., & Park, J. (2020). Real-Time AI-Based CDSS for Emergency Room Triage: Implementation and Evaluation. Emergency Medicine AI Journal, 8(2), 129-145.
Carter, P., & Mitchell, H. (2021). AI for Chronic Disease Management: Integrating Wearable Devices with CDSS. Journal of Smart Healthcare, 12(3), 91-107.
Nelson, K., & Foster, G. (2023). Regulatory and Legal Challenges in AI-Driven Clinical Decision Support Systems. Journal of Health Law and Policy, 30(1), 15-34.
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Copyright (c) 2024 Srikant Kumar Dhar, Kotte Navya, Kanika Seth, Dikshit Sharma, Sourabh Kumar Singh, Shashikant Patil (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
