ISSN : 2663-2187

A STUDY OF CONSUMER BEHAVIORS TOWARDS AN AI POWERED COLLABORATIVE DATA VISUALIZATION AGGREGATOR SAAS PLATFORM FOR HEALTHCARE

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Ms.C.Umarani, Dr.G.Jayashree Hareesh
ยป doi: 10.48047/AFJBS.6.12.2024.4150-4169

Abstract

In today's healthcare industry, AI is changing things in a big way. It's being used in many different areas, and one of the most exciting is the AI powered collaborative Data Visualization Aggregator Software as a Service (SaaS) platform for healthcare. This platform combines AI with data visualization tools, making it easier to understand and use healthcare data. In today's healthcare field, data is abundant from various sources like patient records and research. However, using this data effectively is a problem for people in healthcare. Here is where the AI powered collaborative Data Visualization Aggregator SaaS platform for healthcare comes in. This platform provides advanced analytics and visualization powered by AI algorithms. Its goal is to give healthcare professionals valuable insights that can help them make better decisions and improve patient outcomes. As digital health solutions become more common, it's important to understand how consumers feel about the AI powered collaborative Data Visualization Aggregator SaaS platform for healthcare. This helps it to be adopted and used in the healthcare system. This research aims to find out the complex factors that affect how consumers see, choose, and want to use this new technology. This information can be used to make better marketing strategies and improve the platform's value proposition. This makes it more likely to be accepted and used in different healthcare settings. The effectiveness of an AI powered collaborative Data Visualization Aggregator SaaS Platform for healthcare hinges on its adoption by healthcare professionals, patients, and others. Understanding user behavior is key to designing a user-friendly platform that meets their needs. This study investigates the factors influencing users' attitudes towards such platforms, considering factors like perceived usefulness, ease of use, trust in AI, data privacy and security, and overall user experience. This study aims to understand consumer behavior to develop effective strategies for the promotion and adoption of the AI powered collaborative Data Visualization Aggregator SaaS Platform for healthcare. By doing so, the platform's potential for improving healthcare outcomes, reducing costs, and enhancing decisionmaking can be unlocked, leading to its widespread adoption. This research will assist healthcare organizations in harnessing the power of AI and data visualization for better healthcare practices.

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