International Journal of Engineering Research & Technology (IJERT), 2025
The integration of data analytics, artificial intelligence (AI), and cloud computing has signific... more The integration of data analytics, artificial intelligence (AI), and cloud computing has significantly impacted healthcare technologies, particularly in optimizing Medicaid services. This paper explores the role of predictive analytics, data quality, interoperability, and AI-driven decision-making in enhancing Medicaid's efficiency and accessibility. By leveraging cloud platforms, AI models can improve disease prediction, streamline patient care, and ensure data security. Ethical concerns and implementation challenges are also discussed. The study synthesizes recent advancements, focusing on scalable AI solutions and data-driven innovations, with a special emphasis on Medicaid optimization. Additionally, this research highlights the increasing role of automation in healthcare delivery and examines how AIdriven systems enhance administrative efficiency and improve healthcare accessibility for underserved populations.
International Journal of Innovative Research in Technology, 2025
Bioimpedance methods have emerged as a non-invasive, label-free alternative to traditional histol... more Bioimpedance methods have emerged as a non-invasive, label-free alternative to traditional histological techniques, allowing for continuous monitoring of cell cultures and offering valuable insights into cellular health and dynamics. This paper explores the principles of bioimpedance measurement, its applications in cell growth analysis, and the potential integration of artificial intelligence (AI) and data analytics to enhance healthcare outcomes. Bioimpedance analysis (BIA) is a noninvasive, low cost, and a commonly used approach for body composition measurements and assessment of clinical condition.
International Journal of Engineering Research & Technology (IJERT), 2025
Artificial Intelligence (AI) has profoundly influenced multiple industries, with healthcare being... more Artificial Intelligence (AI) has profoundly influenced multiple industries, with healthcare being one of the most transformative domains. This paper explores AI-driven innovations in healthcare, focusing on Medicaid, IoT-based systems, real-time monitoring, and predictive analytics. Through a review of recent studies, we delve into the advancements in AI applications, challenges, and the balance between ethical considerations and operational improvements. The findings underscore AI's potential to enhance population health management, chronic disease monitoring, and telemedicine while identifying gaps that require further exploration.
International Journal of Engineering Research & Technology (IJERT), 2025
The integration of data analytics, artificial intelligence (AI), and cloud computing has signific... more The integration of data analytics, artificial intelligence (AI), and cloud computing has significantly impacted healthcare technologies, particularly in optimizing Medicaid services. This paper explores the role of predictive analytics, data quality, interoperability, and AI-driven decision-making in enhancing Medicaid's efficiency and accessibility. By leveraging cloud platforms, AI models can improve disease prediction, streamline patient care, and ensure data security. Ethical concerns and implementation challenges are also discussed. The study synthesizes recent advancements, focusing on scalable AI solutions and data-driven innovations, with a special emphasis on Medicaid optimization. Additionally, this research highlights the increasing role of automation in healthcare delivery and examines how AIdriven systems enhance administrative efficiency and improve healthcare accessibility for underserved populations.
International Journal of Innovative Research in Technology, 2025
Bioimpedance methods have emerged as a non-invasive, label-free alternative to traditional histol... more Bioimpedance methods have emerged as a non-invasive, label-free alternative to traditional histological techniques, allowing for continuous monitoring of cell cultures and offering valuable insights into cellular health and dynamics. This paper explores the principles of bioimpedance measurement, its applications in cell growth analysis, and the potential integration of artificial intelligence (AI) and data analytics to enhance healthcare outcomes. Bioimpedance analysis (BIA) is a noninvasive, low cost, and a commonly used approach for body composition measurements and assessment of clinical condition.
International Journal of Engineering Research & Technology (IJERT), 2025
Artificial Intelligence (AI) has profoundly influenced multiple industries, with healthcare being... more Artificial Intelligence (AI) has profoundly influenced multiple industries, with healthcare being one of the most transformative domains. This paper explores AI-driven innovations in healthcare, focusing on Medicaid, IoT-based systems, real-time monitoring, and predictive analytics. Through a review of recent studies, we delve into the advancements in AI applications, challenges, and the balance between ethical considerations and operational improvements. The findings underscore AI's potential to enhance population health management, chronic disease monitoring, and telemedicine while identifying gaps that require further exploration.
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Papers by Lalit Saini