Aerolib Healthcare Solutions has introduced Aerolib AI, a new platform designed to automate and enhance the healthcare appeals process.

The solution is expected to transform compliance, utilisation management, and medical necessity support, addressing the complex and resource-intensive challenges of denials management.

Aerolib chief medical officer and founder Dr Deepak Pahuja said: “Hospitals lose billions annually to denied claims. Aerolib AI is turning the tide by bringing intelligent automation, clinical insight, and measurable ROI [return on investment] to revenue cycle teams.”

Aerolib AI's key features include AI-driven denial analysis that utilises natural language processing to identify root causes, patterns and clinical justifications for denials.

It generates physician-reviewed, evidence-based letters in minutes rather than days.

The platform's scoring system assesses and ranks the likelihood of an appeal's success prior to submission.

Additionally, it features an integrated learning management system (LMS) that provides best practices to physician advisors and hospital staff via on-demand video modules.

Aerolib AI's cloud-based and scalable nature ensures enterprise-grade security, high availability, and quick deployment without the requirement for on-premise infrastructure.

Its compatibility with PDFs or structured files allows for quick onboarding as no EMR integration is necessary.

Hospitals have reported an average appeal success rate of 75%, reclaiming millions in revenue and lessening administrative workload by up to 60% utilising the Aerolib AI solution.

Dr Pahuja added: “We don’t just write appeal letters — we deliver a complete clinical ROI engine that empowers hospitals to defend patient care decisions with confidence and speed.”

Aerolib AI is a component of the broader Aerolib Ecosystem, which encompasses physician advisor services, real-time education and process improvement pilots.

Organisations may take advantage of a 30-day pilot programme to assess the platform's influence without the need for a long-term commitment.