
Prior authorization is a complex process by which payers determine the clinical appropriateness of procedures, prescriptions, and referrals. However, the current process is a significant drain on an already strained U.S. healthcare system costing between $23 and $31 billion a year. This is a big problem to tackle as it involves providers, payers, and patients.
Specifically, health plans are currently spending valuable time and resources manually reviewing authorizations, which is a time-consuming process that can delay treatments – or worse, be an obstacle to care. Not only this, but with manual reviews estimated costs between $20 to $50 per prior authorization clinical review, health plans are looking at ways to automate and reduce the amount of unnecessary reviews being done.
Three significant barriers exist around prior authorization:
- The lack of standardized criteria for submitting prior authorization requests across payers
- The lack of consistent data needs
- The lack of integration between clinical and administrative systems
These obstacles, along with a general resistance to change the status quo, have kept the industry from improving the prior authorization process …but Apixio has a novel solution with the power of AI.
Check out our latest whitepaper, Solving the Prior Authorization Problem With AI, to:
- Understand the current challenges payers are facing with prior authorization
- Digg deeper into how these challenges may impact your organization
- See how Apixio is addressing these challenges with AI