LEVERAGING CRITICAL AND EMERGING TECHNOLOGIES FOR PREDICTIVE ANALYTICS IN HEALTHCARE: OPTIMIZING PATIENT OUTCOMES AND RESOURCE ALLOCATION
Keywords:
Critical, Emerging Technologies (CETs),, Healthcare, Predictive Analysis, Artificial Intelligence (AI), Machine Learning (ML), Cloud Computing, Internet Of Things (IoT)Abstract
The healthcare industry faces increasing pressure to deliver high-quality patient care while managing limited resources efficiently. Predictive analytics, enabled by critical and emerging technologies (CETs) such as artificial intelligence (AI), machine learning (ML), cloud computing, and the Internet of Things (IoT), is transforming healthcare operations. This paper reviews the application of CETs in predictive analytics to improve patient outcomes and optimize resource allocation. By synthesizing data from academic research, healthcare case studies, and industry reports, we examine the potential of these technologies in predicting patient outcomes, preventing adverse events, and managing healthcare resources. Furthermore, the paper discusses the challenges and limitations of adopting predictive analytics in healthcare and provides recommendations for future research and implementation.
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Copyright (c) 2024 Lawrence Kofi Asiam (Author)
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