Downloads: 4 | Views: 222 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2
Review Papers | Information Technology | United States of America | Volume 13 Issue 11, November 2024 | Rating: 5.2 / 10
Advancing Healthcare Data Exchange: The Role of AI and Cloud Analytics in Data Products
Venkateswara Siva Kishore Kancharla
Abstract: In the rapidly evolving healthcare landscape, effective data exchange is crucial for improving patient outcomes and enhancing operational efficiency. This paper examines how the integration of artificial intelligence (AI) and cloud analytics is transforming data product strategies, particularly in facilitating data exchange from enterprise warehouses to meet specific customer needs. By leveraging cloud-based solutions, healthcare organizations can achieve seamless interoperability, ensuring real-time access to critical patient information while significantly reducing response times. AI technologies empower healthcare providers to efficiently generate tailored reports, including government compliance reports and business intelligence analytics, that drive informed decision-making. This research highlights innovative data products that utilize generic frameworks and the latest technologies to streamline the creation of these reports, minimizing time consumption while maximizing relevance and accuracy. Through case studies and practical applications, we illustrate the profound impact of these advancements on enhancing data exchange frameworks. Ultimately, the findings underscore the necessity for healthcare organizations to adopt AI-driven and cloud-based data products that not only facilitate tailored data access and reporting but also foster collaboration, improve patient care delivery, and effectively navigate the complexities of today?s healthcare ecosystem.
Keywords: Data Products, Generative AI, Healthcare Data, Data Privacy, Data Security, Machine Learning, Software Testing, Compliance, GANs, VAEs, Interoperability, Decision-Making, Enterprise Warehouse
Edition: Volume 13 Issue 11, November 2024,
Pages: 1553 - 1558