AI-DRIVEN RISK STRATIFICATION IN HEALTHCARE: ADVANCING EARLY DETECTION AND PATIENT OUTCOME OPTIMIZATION
Keywords:
Clinical Decision Support, Healthcare Artificial Intelligence, Healthcare Data Infrastructure, Patient Outcome Optimization, Risk StratificationAbstract
This article examines the transformative role of Artificial Intelligence in healthcare systems, focusing on its application in risk stratification and patient outcome optimization. The article explores how AI technologies revolutionize healthcare delivery through advanced data analysis, predictive modeling, and clinical decision support systems. It shows the integration of diverse data sources, including electronic health records, genetic information, and real-time health metrics. It demonstrates how these comprehensive datasets enable more accurate patient risk assessment and early intervention strategies. The article analyzes AI systems' implementation challenges and successes in clinical settings, examining workflow integration, provider adoption, and system scalability. Furthermore, it evaluates AI implementation's clinical and financial impacts, highlighting improvements in patient outcomes, resource optimization, and cost-effectiveness. The article also addresses critical considerations regarding data privacy, ethical implications, and future directions for AI in healthcare, emphasizing the importance of balancing technological advancement with ethical responsibility and patient care quality.
References
Álvaro Costa-García, Shotaro Okajima, Ningjia Yang, "Current Trends and Challenges towards the Digital Health Era," 2022 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO). https://ieeexplore.ieee.org/document/9802962
Yaojue Xie et al., "Evolution of Artificial Intelligence in Healthcare: A 30-Year Bibliometric Study," Frontiers in Medicine, 2024. https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2024.1505692/abstract
NiuTrans/ABigSurvey, "A Survey of Surveys (NLP & ML)," GitHub. https://github.com/NiuTrans/ABigSurvey
Shusaku Tsumoto; Shoji Hirano, "Healthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management," IEEE Xplore. https://ieeexplore.ieee.org/document/6982855
Swamydoss D; Lilly Florence M; Swithin Asir S, "Machine Learning Based Predictive Analysis of Diseases in Health Care," 2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE).
https://ieeexplore.ieee.org/document/10099557
A. Benazir Begum; Surabhi Keshri; Nagarjuna Reddy, "Strategic Analysis of Population Health Management using Machine Learning," 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC). https://ieeexplore.ieee.org/document/10193171
Weiping Wang; Mingming Wang; Shijun Zhu, "Healthcare Information System Integration: A Service-Oriented Approach," 2005 IEEE 13th International Symposium on Computer-Based Medical Systems (CBMS). https://ieeexplore.ieee.org/document/1500244
Qiwei Gan; Qing Cao, "Adoption of Electronic Health Record System: Multiple Perspectives," 2014 IEEE 47th Hawaii International Conference on System Sciences (HICSS). https://ieeexplore.ieee.org/abstract/document/6758942
Daniel B. Neill, "Using Artificial Intelligence to Improve Hospital Inpatient Care," 2013 IEEE International Symposium on Computer-Based Medical Systems (CBMS). https://ieeexplore.ieee.org/abstract/document/6547974
Swathi Priya Choppala, Gaddam Venkat Shobika, "Reduction of Healthcare Resources by Classifying Patient's Data," 2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH). https://ieeexplore.ieee.org/document/9842402
Ritesh Rikain Warty; Vinayak Smith, "Barriers to the Diffusion of Medical Technologies Within Healthcare: A Systematic Review," IEEE Access, 2021. https://ieeexplore.ieee.org/abstract/document/9562554
IEEE Advancing Technology for Humanity, "Ethical Aspects of Autonomous and Intelligent Systems," IEEE Position Statement, 2019. https://globalpolicy.ieee.org/wp-content/uploads/2019/06/IEEE19002.pdf
