Smarter Healthcare: Unlocking Insights and Automating Processes through ML and AI
Artificial Intelligence (AI) and data-driven technologies have transformed how organizations solve complex business problems. However, not every challenge is best addressed using the same AI approach. Traditional rule-based AI, classical statistical methods, Machine Learning (ML), and Generative AI (GenAI) each possess distinct strengths. Selecting the appropriate technique based on the nature of the problem is critical to achieving accuracy, efficiency, and business value.
Healthcare IT systems exemplify this need for thoughtful selection. They operate in a highly regulated, data-intensive environment where patient safety, operational efficiency, and clinical outcomes must coexist. This white paper outlines how different AI and analytics approaches apply to healthcare use cases and presents a real-world AI-enabled mobile integrated healthcare platform developed by Techlogix that combines these techniques to deliver measurable impact.
