Hospital-Wide Intervention in Billing and Coding to Capture Complexity of Care at an Academic Referral Center.

IF 1.7 4区 医学 Q3 HEALTH POLICY & SERVICES
Danielle DeCicco, Troy M Krupica, Ronald Pellegrino, Ziad O Dimachkie
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引用次数: 1

Abstract

Goal: Downcoding at nonprofit healthcare institutions can account for significant revenue losses that, in turn, can affect the amount and quality of care they provide. Using the inpatient medical note to assess the complexity of care, we wanted to quantify the visit coding distribution at the largest tertiary care center in West Virginia and to improve the documentation and coding if found to be below national benchmarks.

Methods: We measured the number of encounters and associated documentation of level 1, 2, and 3 visits among hospitalists. We compared our data to national benchmark data. We then implemented a multifaceted, multidisciplinary intervention to improve documentation and coding.

Principal findings: We found a significant average increase of level 3 admission history and physical visits of 76% ( p < .0001) and 112% ( p < .001) for subsequent encounters compared with baseline preintervention visit types. With team-based coding interventions in place, documentation accurately now reflects the complexity of care delivered. Based on Medicare reimbursement rates, this new accuracy has led to an increase in revenue of $233, 988.79 per 10,000 encounters.

Applications to practice: Provider knowledge of medical billing and coding guidelines is essential. In particular, large academic institutions typically operate on small margins, so even simple adjustments and quality improvement efforts in billing and coding can help immensely by accurately representing the amount and quality of medical services. An institution can markedly improve revenues by coding notes to reflect the true complexity of care that is delivered.

Abstract Image

Abstract Image

医院范围内的计费和编码干预,以捕捉学术转诊中心护理的复杂性。
目标:在非营利性医疗机构中,降低编码可能会造成重大的收入损失,进而影响他们提供的医疗服务的数量和质量。使用住院医疗记录来评估护理的复杂性,我们希望量化西弗吉尼亚州最大的三级护理中心的访问编码分布,并在发现低于国家基准的情况下改进文档和编码。方法:我们测量了医院医生1、2、3级就诊的就诊次数和相关文件。我们将我们的数据与国家基准数据进行了比较。然后,我们实施了多方面、多学科的干预来改进文档和编码。主要发现:我们发现3级住院史和体检次数平均显著增加76% (p <0.0001)和112% (p <.001),与基线干预前就诊类型相比。有了基于团队的编码干预措施,文档现在可以准确地反映所提供护理的复杂性。根据医疗保险报销率,这种新的准确性导致每10,000次就诊的收入增加233,988.79美元。应用于实践:提供医疗计费和编码指南的知识是必不可少的。特别是,大型学术机构通常利润微薄,因此,即使是在计费和编码方面的简单调整和质量改进工作,也可以通过准确地表示医疗服务的数量和质量来提供巨大帮助。一个机构可以通过编码说明来反映所提供护理的真实复杂性,从而显著提高收入。
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来源期刊
Journal of Healthcare Management
Journal of Healthcare Management HEALTH POLICY & SERVICES-
CiteScore
2.00
自引率
5.60%
发文量
68
期刊介绍: The Journal of Healthcare Management is the official journal of the American College of Healthcare Executives. Six times per year, JHM offers timely healthcare management articles that inform and guide executives, managers, educators, and researchers. JHM also contains regular columns written by experts and practitioners in the field that discuss management-related topics and industry trends. Each issue presents an interview with a leading executive.
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