basys.ai provides enterprise-grade Generative AI solutions specifically for the healthcare industry. The platform automates complex workflows such as prior authorization, utilization management, and payment integrity processes. This technology delivers high clinical accuracy and significantly accelerates decision-making times for payers and providers.
Funding
$2.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
HAFounders
Product
Problem
The prior authorization process in healthcare often involves extensive paperwork, manual reviews, and lengthy wait times, leading to delays in patient care and increased administrative costs for health plans. Traditional methods struggle to efficiently process the growing volume of prior authorization requests while maintaining clinical accuracy and compliance.
Solution
Basys.ai offers a generative AI-powered engine designed to automate and streamline the prior authorization process for health plans. The platform encodes plan policies and EHR data into simple checklists, enabling rapid and accurate decision-making. By automating a significant portion of prior authorization decisions, Basys.ai reduces administrative burdens, accelerates approval times, and ensures timely access to care for members. The AI engine is trained on a large dataset of medical and claims records, incorporating drug insights to enhance decision accuracy and personalize care pathways.
Target Audience
The primary target audience includes health plans and healthcare providers seeking to streamline prior authorization workflows, reduce administrative costs, and improve the speed and accuracy of care decisions.
Features
- Generative AI engine automating prior authorization decisions with high clinical accuracy
- Encoding of health plan policies and EHRs into simplified, criteria-based checklists
- Automated collection of missing information from providers to expedite reviews
- AI-driven suggestions for pre-approved and personalized care pathways
- Self-learning mechanism that continually reviews decision accuracy to improve quality of care
- Integration with existing health plan systems for seamless interoperability
- Explanation generation for prior authorization decisions, outlining health plan criteria, EHR data, and relevant literature
- Compliance with regulatory standards and robust data security measures