What is Sift Healthcare?

• Founder: Justin Nicols
• Launch: 2017
• Use Cases: Predicting claim denials early, optimizing patient payment plans, enhancing payer reimbursements, and monitoring hospital revenue cycles to reduce losses.
• Technology: Sift Healthcare employs predictive analytics, AI, and machine learning combined with data normalization to analyze claims, clinical, and payment records. Its models forecast denials, optimize payment workflows, and generate actionable insights in real time.

Sift Healthcare is an AI-powered finance and health platform that helps healthcare providers enhance their financial operations using artificial intelligence and predictive analytics. Justin Nicols founded the platform in 2017, intending to fill the gaps created by traditional sales cycle management in terms of data. By combining and analyzing clinical data, payer information, and patient payment history, Sift can create models that predict the likelihood of claim denials, streamline the reimbursement process, and offer payment plans for patients. This enables hospitals and health organizations to enhance their total cash flow by minimizing claim denials, write-offs, and collections. Sift's methodology is distinguished by its compassionate and rational approach to patient involvement, since payment plans are based on prior provider data rather than an external credit report. For healthcare firms with low margins, Sift provides visibility into revenue loss while also reducing administrative load and providing staff with actionable data. Sift Healthcare is emerging as a key partner for providers seeking financial stability and long-term sustainability in an increasingly complicated healthcare market.