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.
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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.
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By GlobalDataAdditionally, 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.
