Perceptions of prior authorization burden and solutions.

Health affairs scholar Pub Date : 2024-08-06 eCollection Date: 2024-09-01 DOI:10.1093/haschl/qxae096
Nikhil R Sahni, Brooke Istvan, Celia Stafford, David Cutler
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Abstract

The prior authorization (PA) process consumes time and money on the part of patients, providers, and payers. While some research shows substantial possible savings in the PA process, identifying what different groups can do is not as well known. Thus, organizations have struggled to capture this opportunity. To understand different perspectives on PA burden and receptivity to possible changes in the PA process, we surveyed 1005 patients, 1010 provider employees, and 115 private payer employees. Patients reported the longest perceived wait times but indicated the highest perceived approval rates and lowest perceived burden. The relatively low burden for patients is because most do not have to engage in PA directly. Provider respondents reported spending time equivalent of more than 100 000 full-time registered nurses per year on prior authorization. Artificial intelligence (AI) represents a possible solution: 65% of private payer respondents reported that their organizations planned to incorporate AI into the process in the next 3 to 5 years. Intended adoption by provider respondents is much smaller (11%). Private payer respondents cited cybersecurity concerns and a lack of technical infrastructure as barriers; provider respondents cited lack of budget and limited trust in the technology.

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对预先授权负担的看法和解决方案。
事先授权(PA)流程耗费了患者、医疗服务提供者和支付方的时间和金钱。虽然一些研究表明,事先授权过程中可能会节省大量费用,但如何确定不同的团体可以做些什么却并不为人所知。因此,各机构一直在努力抓住这一机遇。为了了解不同群体对 PA 负担的看法以及对 PA 流程中可能出现的变化的接受程度,我们对 1005 名患者、1010 名医疗服务提供者员工和 115 名私人支付方员工进行了调查。患者报告的等待时间最长,但他们认为批准率最高、负担最低。患者的负担相对较轻是因为大多数患者不必直接参与 PA。医疗机构受访者表示,每年花费在事先授权上的时间相当于 100 000 多名全职注册护士。人工智能 (AI) 是一种可能的解决方案:65% 的私营支付方受访者表示,他们的组织计划在未来 3 到 5 年内将人工智能纳入流程。而医疗服务提供者受访者打算采用人工智能的比例要小得多(11%)。私人付费者受访者认为网络安全问题和缺乏技术基础设施是障碍;医疗服务提供者受访者则认为缺乏预算和对技术的信任有限。
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