In this white paper, Randall Davis, Senior Director Client Operations, examines the potential consequences of dysfunctional prior authorization processes.
Please click on the video to the right to learn more about the Randall, his paper’s main arguments, and how technology integration can prevent decreases in practices’ income.
To talk about this white paper in detail, please contact the author using the information provided at the end of the article.
Payer prior authorizations are expensive and administratively daunting. A high failure rate lowers care outcomes and drains revenue. However, we’ve found that process discipline and automation unshackles clinical staff, with big boosts to care quality and revenue.
Payers require authorization prior to many procedures and for specialty drugs to assure medical necessity and effectiveness. This enables patients to receive appropriate care while reducing waste. However, it’s not clear that prior authorizations actually reduce costs. One study found 24% higher plan-paid costs for members requesting a Type 2 Diabetes medication requiring prior authorization (PA) but not receiving it, compared with those who qualified for and received the requested medication. 
Dysfunctional prior authorization (PA) processes drive up costs and reduce patient access to care. Physicians report that engagement with payers on medical necessity and PAs results in:
Clinical and office staff must navigate unique processes for each payer, plan, employer, procedure, and medication. Requirements change frequently with unclear standards. No help comes from technology as only 12% of transactions nationwide have been automated––and only the very simplest.  Denied claims sit unworked since they’re the most difficult and time-consuming task.
Not obtaining a proper PA drastically impacts practice income. Plans refuse to pay and preclude direct billing of the patient. Satisfaction of both the patient and provider suffer. No wonder most primary care providers see the prior authorization process as unsustainable.
For our clients, we utilize our Sona ProMISe platform to create efficiency by mapping processes in detail and automating the parts not requiring expert judgement. We start with a tangled mess, move toward discovery of critical knowledge, and organize it for reuse and visibility.
When a physician orders a procedure, test, or medication, we proceed through payer-imposed process steps:
Our agents execute repeatable but often complex scenarios between inherently incompatible systems to drive each transaction for approval. We start completely manually then enable “bots” to work alongside agents.
Unfortunately, each step can get off track with a new rule, a gap in documentation, a moment’s inattention, or system errors. The whole process varies by payer, plan, procedure, test, medication, employer, individual patients, and even each iteration. It’s breathtakingly tedious. Still, we work backwards from a goal of first-pass success with continuous improvement.
To create a solution space for automation, we scour processes for repeatability. When every process varies every time, that’s tough. We handle complexity by building “scenarios” shared between agents and bots. Business analysts find the tall Pareto bars of repeatability and dig in to definitively describe each series of transaction segments and source data to automate them.
Our usual suspects for repeatable automation of any clinical system or payer system transaction include:
We differentiate between the highly repeatable process segments and the steps where control must be handed back to the agent for quality checks and complex assessments. In the case of PA’s, we build dozens, sometimes hundreds, of scenarios within our Sona ProMISe workflow platform. Each leverages a common process framework but adjusts to nuances of payer, plan, procedure, test, and medication.
After investing twice as much business analysis compared with the actual automation, our Robotic Process Automation (RPA) engineers can pull out their tools. They build reusable modules for pulling and pushing information from the EHR and the many payer websites. They can then assemble scenarios to execute automatically through repeatable parts and return control to an agent for hard parts.
In production, our agents focus on the barriers to success by making critical decisions. Our Robotic Process Automation then executes repetitive actions for them across disparate systems that vary across patients, while they sort out one-off problems.
From the starting point of a dysfunctional prior authorization process, our discipline and technology integration experience drives winning outcomes for the patient, the clinical staff, and the practice:
Using process engineering discipline, scenario-guided agents and Robotic Process Automation development, we’ve unshackled clinical staff with big boosts to care quality and revenue.
1. J. G. Bergeson, et al. (2013). Retrospective Database Analysis of the Impact of Prior Authorization for Type 2 Diabetes Medications on Health Care Costs in a Medicare Advantage Prescription Drug Plan Population. JMCP
2. L. P. Casalino, et al. (2009). What Does It Cost Physician Practices To Interact With Health Insurance Plans? (in 2020 USD). healthaffairs.com
3. D. Rubin, (2017), Tackling the Prior Authorization Challenge: A Critical Task for Pharma. pharmaexec.com
4. 2017 AMA Prior Authorization Physician Survey. AMA
5. (2018). The Shocking Truth about Prior Authorization Process in Healthcare. getreferralmd.com
6. CAQH Explorations. 2018 CAQH Index. A Report of Healthcare Industry Adoption of Electronic Business Transactions and Cost Savings. caqh.org