Author
Listed:
- Thiyagarajan Palaniyappan
Abstract
Prior authorization requirements for advanced diagnostic imaging impose substantial administrative burden on radiology departments, causing care delays, clinician burnout, and measurable patient harm. Radiologists face the highest prior authorization rate of any specialty at 91%, with radiology services constituting the largest non-drug component of authorization-related Medicare Part B expenditures at 16%. This article examines the design, implementation, and evidence base for integrated pre-authorization systems that automate extraction of procedure codes from electronic health records, validate orders against payer-specific appropriateness criteria, and electronically submit authorization requests within clinical workflows. Three original quantitative frameworks are introduced: the Authorization Efficiency Score (AES) for measuring denial reduction, the Authorization Cycle Time Optimization Index (ACTI) for modeling cycle time improvement, and the Denial Prevention Value Index (DPVI) for calculating economic return on integration investment. Evidence from a landmark multi-payer implementation demonstrates 65.4% denial reduction, 33.9% cycle time improvement, and 97.4% payer-practitioner alignment. CDS can increase appropriate imaging from 57% to 79%, and 69% of scored orders are eligible for ASAP authorization. Since the CMS Interoperability and Prior Authorization Final Rule requires all applicable prior authorization FHIR-based APIs be effective by January 2026, the stage is set for universal CDS, yielding $15 billion in ten years [34]. It provides a holistic solution to automating radiology pre-authorization at the convergence of clinical workflow, payer compliance and healthcare interoperability.
Suggested Citation
Thiyagarajan Palaniyappan, 2026.
"Integrated Pre-Authorization Systems for Radiology : Automating Payer Compliance through EHR-Embedded Clinical Decision Support and Electronic Authorization Workflows,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 12(3), pages 822-833, June.
Handle:
RePEc:jbh:ijsrcs:v12:y2026:i3:id:2091
DOI: 10.32628/CSEIT26123384
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT26123384
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