Mieth M, Wolkener F, Schmidt J, Glück E, Klar E, Kraus T
Abteilung Allgemeine Chirurgie, Poliklinik und Unfallchirurgie, Chirurgische Universitätsklinik Heidelberg, Kirschnerstrasse 1, 69120 Heidelberg.
Chirurg. 2002 May;73(5):492-9. doi: 10.1007/s00104-001-0393-1.
The forthcoming introduction of a DRG-based account system in Germany aims at higher transparency and economic efficiency, particularly in the sector of in-patient health care. The availability of documentation of the highest quality, taking into account all potentially relevant diagnoses, appears to be the best method for achieving maximum revenue in individual surgical units. The aim of the study was to determine the relevance of various degrees of documentation depth on calculated DRG-based revenue. Furthermore, we evaluated whether improvements in the quality of documentation can be realized in current hospital organization.
In a prospective study, clinical data from 402 in-patients were collected and revenues were calculated based on the Australian-Refined DRG system. Various qualities of documentation were defined. In order to find the medical sectors most sensitive to "under-documentation", homogenous cases were classified into 23 treating groups, according to diagnosis.
In 267 cases, maximum revenue was determined only by one main diagnosis, while better results could be achieved in 137 cases (34%) by extended documentation quality. Half of this gain could only be achieved by an independent medical documentation specialist. An upper limit of documentation intensity (number of diagnoses) could be defined. Maximum gain did not require maximum number of diagnoses.
Documentation depth has an important influence on the calculated revenue of surgical therapy based on AR-DRG system. The quality and depth of the documentation is not, in itself, sufficient. In order to be really effective, it requires the highest degree of professionalism from hospital staff.
德国即将引入基于疾病诊断相关分组(DRG)的计费系统,旨在提高透明度和经济效率,尤其是在住院医疗领域。提供考虑到所有潜在相关诊断的最高质量文档,似乎是在各个外科科室实现最大收入的最佳方法。本研究的目的是确定不同文档深度对基于DRG计算的收入的相关性。此外,我们评估了在当前医院组织中是否可以实现文档质量的提高。
在一项前瞻性研究中,收集了402名住院患者的临床数据,并根据澳大利亚细化的DRG系统计算收入。定义了不同质量的文档。为了找出对“文档记录不足”最敏感的医疗部门,根据诊断将同类病例分为23个治疗组。
在267例病例中,最大收入仅由一个主要诊断决定,而在137例病例(34%)中,通过提高文档质量可以获得更好的结果。其中一半的收益只能由独立的医学文档专家实现。可以定义文档强度(诊断数量)的上限。最大收益并不需要最大数量的诊断。
文档深度对基于AR-DRG系统计算的手术治疗收入有重要影响。文档的质量和深度本身并不足够。为了真正有效,它需要医院工作人员具备高度的专业素养。