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Explore AI FinTech in Healthcare RCM: How Smart Analytics Can Transform Revenue Cycle Management | M.Khan with 826 views, 2 likes, and 2 comments. Experience the impact of this video content that has captured audience attention.

In this video, I discuss how AI and FinTech can transform healthcare Revenue Cycle Management (RCM) by improving denial-risk detection, A/R follow-up, revenue leakage monitoring, cash-flow forecasting and financial decision-making. Healthcare providers face growing pressure from payer delays, denied claims, manual follow-ups, coding issues, prior authorisation gaps and fragmented financial data. AI can help finance and RCM teams move from reactive reporting to proactive revenue cycle intelligence. The key message is simple: AI should not replace billing, coding, finance or RCM professionals. Instead, it should support them by identifying risk earlier, prioritising the right claims, improving visibility and helping leadership make faster, better-informed decisions. In this video, I share my perspective as a CPA working at the intersection of healthcare finance, AI-enabled reporting, FinTech innovation and revenue cycle analytics. Key topics covered: * AI in healthcare Revenue Cycle Management * Denial-risk scoring and claim prioritisation * Revenue leakage detection * A/R ageing and payer delay analysis * Cash-flow forecasting in healthcare finance * FinTech innovation in medical billing * Responsible AI and human judgement in RCM * The future of healthcare financial intelligence Presented by: Mohsin Khan, CPA AI-Enabled Finance Transformation | Healthcare RCM Analytics | FinTech | Responsible AI Governance

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