通过使用来自血管质量倡议的数据来优化医院账单
Kirthi S Bellamkonda1, Philip P Goodney1, Richard J Powell1
1Section of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Journal of vascular surgery
|August 15, 2025
概括
使用血管质量倡议 (VQI) 注册表数据可以提高Medicare严重性诊断相关组 (MS-DRG) 编码精度,用于外周血管干预 (PVI). 这种方法有助于识别并发症或并发症 (CC/MCC),以防止低编码,并确保适当的医院补偿.
科学领域:
- 医疗保健分析 医疗保健分析
- 医疗编码优化 医学编码优化
- 血管外科手术的结果
背景情况:
- 医院依靠医疗保险重症诊断相关组 (MS-DRGs) 进行报销.
- 患有并发症或并发症 (CC / MCC) 的MS-DRG反映了患者的复杂性更高,并增加了补偿金.
- 低编码DRG复杂性导致医院遭受重大财务损失.
研究的目的:
- 评估来自血管外科协会血管质量倡议 (SVS VQI) 外周血管干预 (PVI) 注册表的颗粒数据是否可以提高MS-DRG编码的准确性.
- 在标准编码过程中使用客观的注册表数据识别错过的CC/MCC.
- 确定VQI数据是否可以帮助防止低编码和相关的收入损失.
主要方法:
- 通过使用与Medicare相关的VQI PVI注册表分析了2010-2019年230个中心的40,822例PVI入院的队列.
- 患者被分为具有或没有CC/MCC的组.
- 后勤渐进回归确定了CC/MCC计费的预测因素,并开发了一个模型来比较每个中心的预期和观察到的CC/MCC计费率.
主要成果:
- 76%的PVI入院费用由CC/MCC收费,医院之间的差异很大 (48-100%).
- 诸如充血性心力衰竭,糖尿病,透析,先前截肢,功能状态和治疗后并发症等因素与CC/MCC计费有关.
- 预测模型实现了0.82的c统计值,表明了高准确度. 在39%的中心中,建议采用不足的计费.
结论:
- VQI PVI注册表数据有效地识别了符合MS-DRG编码CC/MCC的入学资格.
- 一个开发的多变量模型可以帮助医院识别病例,以便更密切地审查编码器,提高准确性.
- 该策略提供额外的验证和基准测试,以防止低编码,收回收入,并增加VQI参与的价值,无需额外费用.
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