Prior authorization is meant to protect patients from treatments they do not need and to keep healthcare costs down. It makes sure that treatments follow insurance rules and clinical guidelines. But in real life, prior authorizations often slow down patient care.
Manual prior authorization involves many slow steps like phone calls, faxes, emails, and typing information into payer websites. According to the 2024 CAQH Index Report:
These long times and costs delay treatments and add to staff work and doctor stress. A survey by the American Medical Association (AMA) found that 88% of doctors think prior authorization creates a high or very high administrative burden. Many healthcare providers have staff who only work on prior authorizations. This means these workers cannot help patients directly.
Delays caused by prior authorization can harm patient health. The AMA survey showed that:
Healthcare providers get frustrated because delays happen while waiting for insurer replies, sending the same documents again, and having denials because of missing or wrong information. These problems also cause more denied claims and more appeals, which waste time and resources.
To fix these problems, healthcare needs to move from manual prior authorization to automated systems. Automation means using software with artificial intelligence (AI), machine learning (ML), and rule-based tools to handle prior authorization requests with less human work.
Some healthcare groups show how automation can improve prior authorization:
These examples show that automation leads to faster decisions, fewer denials, and better patient access to treatments.
Automated prior authorization not only speeds approvals but also improves several important areas for healthcare managers:
Artificial intelligence and automation are key to fixing prior authorization problems. These tools do more than just digitalize old steps; they make processes better and faster.
Automated prior authorization systems use natural language processing (NLP) and machine learning to get needed data directly from electronic health records (EHRs). This includes patient history, lab results, images, and doctor notes required by insurers.
Instead of typing data manually, automated systems check it, fill out forms correctly, and send requests via insurer portals. This happens fast and cuts down errors.
AI uses rule engines to follow payer rules and clinical guidelines right away. Tools like HealthEdge’s Prior Authorization Catalog check millions of rules, such as provider IDs, procedure codes, and service dates. This makes sure requests meet medical rules before sending.
Some automation programs have “Gold Card” features that approve or fast-track requests from trusted providers based on past results, making the process quicker.
AI systems work all day and night, unlike manual steps limited to office hours. For example, Atlantic Health’s automation handles submissions and follow-ups overnight and updates electronic records once approvals come in.
This real-time update keeps providers, billing, and care teams working with current authorization status, reducing wrong info and delays.
Because automated systems send complete and accurate requests, denial rates go down. Surescripts reported an 88% drop in appeals and 68% fewer denials due to incomplete info.
This means providers face fewer repeated denials and can coordinate care more smoothly.
Automation tools work smoothly with EHRs and clinical systems. AI can help doctors check prior authorization needs during patient visits. This helps manage requests early and avoid delays after appointments.
The Centers for Medicare & Medicaid Services (CMS) sees the need to modernize prior authorization. The CMS Interoperability and Prior Authorization Final Rule (CMS-0057) from January 2024 requires health systems to use HL7 FHIR-based APIs for faster approval by 2027.
This rule pushes providers and insurers to adopt automated workflows that cut delays and lower administrative work. Meeting this rule will be important for organizations to keep payments and follow the law.
Premier’s AI prior authorization tools follow these rules and have approvals from groups like URAC and NCQA.
Automation helps payers and providers work better together. By stopping manual faxes and calls, automated systems share info clearly and speed up decisions.
Sunil Dadlani, CIO of Atlantic Health, says payer involvement is important. Many insurers already use these technologies, and working well with provider systems helps both sides get prior authorization done on time and right.
This teamwork reduces fights over approvals and makes insurance rules fit clinical work better, helping patients get care faster.
Better prior authorization helps patients in many ways:
Doctors also feel better when they spend less time on paperwork. Tara Dragert from Surescripts says automation “reduces time spent sending faxes and making phone calls,” letting doctors focus more on patients.
For people managing healthcare practices in the U.S., automating prior authorization offers many benefits:
By choosing AI-based automation and working with healthcare tech partners, administrators can reduce operational problems while keeping or improving care quality.
Moving from old manual prior authorization to advanced AI automated systems is a needed step for better healthcare administration in the U.S. The advantages go beyond convenience to help patients get timely care without extra delays or interruptions.
Premier aims to enable healthcare organizations to deliver better, smarter, and faster care through cutting-edge data, technology, advisory services, and group purchasing.
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Premier bridges the gap between payers and providers, promoting collaboration that reduces costs and improves the quality of care.
Automating prior authorization processes reduces administrative delays, thereby accelerating the delivery of care to patients.
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