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医疗系统数据中的地区差异:对高编码的影响。

Regional variation in medical systems data: influences on upcoding.

作者信息

Lorence Daniel P, Spink Amanda

机构信息

Department of Health Policy and Administration, The Pennsylvania State University, University Park 16802, USA.

出版信息

J Med Syst. 2002 Oct;26(5):369-81. doi: 10.1023/a:1016405214914.

Abstract

Attempts to minimize over-reimbursement to health care providers have resulted in highly publicized prosecution of health care providers and provider organizations. Such prosecution has led many to propose that upcoding influences exerted upon health care information managers would largely disappear, both within and external to the provider organization. This study seeks to examine the degree of both intra- and extraorganizational influences on reimbursement optimizing practices through a national survey of accredited health information managers. Results suggest that significant upcoding influence continues to occur within organizations, despite the risk of severe counterfraud penalties designed to eliminate such practices. We examine variation in intra- and extraorganizational optimizing influences, finding such influence was found to exist both within and external to the provider organization. We also examine how optimization influences vary across demographic, practice setting, and market characteristics. We find significant variation in influence across practice settings and managed care markets. Ramifications for reimbursement assessment are discussed.

摘要

尽量减少对医疗服务提供者过度报销的努力导致了对医疗服务提供者和提供者组织的大肆起诉。此类起诉使得许多人认为,施加于医疗信息管理人员的编码上调影响在提供者组织内部和外部都将基本消失。本研究旨在通过对认证健康信息管理人员的全国性调查,考察组织内部和外部对报销优化做法的影响程度。结果表明,尽管存在旨在消除此类做法的严厉反欺诈处罚风险,但组织内部仍继续存在显著的编码上调影响。我们考察了组织内部和外部优化影响的差异,发现这种影响在提供者组织内部和外部都存在。我们还考察了优化影响如何因人口统计学、业务环境和市场特征而有所不同。我们发现不同业务环境和管理式医疗市场的影响存在显著差异。文中讨论了对报销评估的影响。

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