使用人工智能来改善医疗补助的行政流程
Ted Cho1, Brian J Miller2,3,4
1Department of Pediatrics, UCSF Benioff Children's Hospital, San Francisco, CA, 94158, United States.
Health affairs scholar
|May 17, 2024
概括
人工智能 (AI) 可以减少政府福利计划中的行政浪费. 然而,人工智能应该增加人类能力的保障,直到完全可靠,需要明确指导医疗补助计划.
科学领域:
- 医疗信息学 医疗信息学
- 公共管理 公共管理
- 计算机科学 计算机科学
背景情况:
- 州和联邦福利计划的行政负担是不可持续的.
- 人工智能 (AI) 为减少浪费和提高效率提供了一个有希望的解决方案.
- 政府机构和立法者对采用人工智能技术感兴趣.
研究的目的:
- 探索AI在解决福利计划中的行政效率低下方面的潜力.
- 确定AI实施的合适领域,例如医疗补助资格和支付完整性.
- 讨论人工智能为自主实施而不是增强人类能力的准备情况.
主要方法:
- 对"固有的政府"职能现有框架的分析.
- 在公共福利管理的背景下,评估AI的潜在好处和局限性.
- 对政府计划中采用人工智能的当前政策建议的审查.
主要成果:
- 人工智能具有显著的潜力,可以减少行政浪费,提高福利计划的效率.
- 确定医疗补助资格和防止不当支付是AI应用的潜在领域.
- 人工智能可能还没有准备好完全自主,更适合通过保障来增强人类的能力.
结论:
- 需要从医疗保险和医疗补助服务中心获得明确的指导,以便在州医疗补助计划中使用AI.
- 决策者必须合作,有效地利用人工智能,提高医疗补助计划的效率和有效性.
- 建议采取分阶段的方法,从人工智能增强人类角色开始,直到人工智能可靠性得到建立.
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