一个解决方案,以减少患者的不显示行为对医院运营成本的影响:基于人工智能的预约系统
Kerem Toker1, Kadir Ataş2, Alpaslan Mayadağlı3
1Faculty of Health Sciences, Health Management, Bezmiâlem Vakıf University, Istanbul 34065, Türkiye.
Healthcare (Basel, Switzerland)
|November 9, 2024
概括
这项研究开发了一种人工智能 (AI) 预约系统,以预测患者不出现. 人工智能系统使预约出席率提高了10%,医院容量利用率提高了6%.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 运营研究 运营研究
背景情况:
- 患者没有出现的行为显著影响医院资源优化和财务稳定.
- 无人出现的低效率会增加运营成本,影响服务质量.
- 准确预测患者出勤率对于有效的预约系统管理至关重要.
研究的目的:
- 优化医院预约系统,通过准确预测患者不出现的行为.
- 为了利用记录的患者数据进行预测建模.
- 减少浪费,改善医疗保健机构的资源配置.
主要方法:
- 开发基于人工智能 (AI) 的任命系统.
- 利用患者的人口统计和历史行为模式进行AI培训.
- 通过数据分析不断学习和改进任命任务.
主要成果:
- 基于人工智能的系统每月增加了10%的患者预约出席率.
- 在AI实施后,医院容量利用率提高了6%.
- 显著降低了没有出现的风险.
结论:
- 人工智能可以有效地管理医疗保健预约流程中的不出现风险.
- 人工智能驱动的预约系统大大降低了医院的运营成本.
- 人工智能的实施提高了医疗保健服务的整体质量和性能.
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