ArticleJAMA network open2025
Integrating Prior Authorization Into Clinical Workflows for Care Access and Practitioner Experience.
Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Quality assessment of large language model-generated prior authorization letters in nephrology.Frontiers in digital health · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Utilization management strategies such as prior authorization are used to balance appropriate care with cost but can create substantial administrative burdens that can delay timely access to necessary care. A real-time, clinically integrated prior-authorization process may reduce burden and expedite care, especially for complex diseases such as cancer. Objective: To evaluate the association of clinically integrated prior-authorization software with denial rates, authorization times, and staff satisfaction. Design, Setting, and Participants: This quality improvement study spanned from January to December 2024, with intervention data collected from August 2023 to December 2024. The study was conducted in a large, multifacility academic radiation practice within a major metropolitan network. Participants included physicians, nurses, and billing staff at the intervention sites. The patient population was covered by 86 health plans, primarily 7 dominant payers (4 national and 3 regional). Exposure: Three centers implemented the prior-authorization software, while 4 others served as control centers. Main Outcomes and Measures: The primary outcomes were prior-authorization denial rates and authorization times. Staff satisfaction with the prior-authorization process was assessed through preintervention and postintervention surveys. Denial statistics were compared using the Fisher exact test, and timing statistics were compared using an unpaired t test. Results: Among 6551 (2403 intervention and 4148 historic control) cases from a radiation oncology patient population, implementation of the software was associated with a mean 65.4% reduction in prior authorization denials (from 314 [7.6%] to 63 [2.6%]; P < .001) across all payers. Per payer, the denial decrease ranged from 45.7% to 88.6%. Payer and practitioner prescription alignment occurred in 2340 of the 2403 intervention cases (97.4%). The median (IQR) authorization time decreased by 33.9% (from 4.2 [1.7-2.4] to 2.8 [2.4-3.0] business days; P < .001), with 18.9% to 52.3% payer-specific reductions; the 90th percentile reported an approximately a 1-week reduction (from 17.7 to 10.5 business days). Surveys of 15 users (7 physicians and 8 billing staff) reported increased satisfaction regarding speed, transparency, ease of use, and overall experience. Conclusions and Relevance: In this quality improvement study of prior authorization workflows, real-time transparency available at the point of care was associated with reduced rates of denials, reduced delays in care, and improved practitioner satisfaction. These findings suggest that such technology may offer a valuable solution to current challenges in prior authorization by streamlining workflows and facilitating more timely access to care.
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