Hoelzer S, Hundahl S A, Stewart A, Reiners C, Liu R, Schweiger R, Dudeck J
Institute of Medical Informatics, Justus-Liebig-University of Giessen, Germany.
Qual Assur. 1999 Jul-Sep;7(3):163-71. doi: 10.1080/105294100750035143.
Improving health care quality requires the availability of data to identify and eliminate unnecessary variations in the care process. Variations can be caused by an ineffective implementation of research findings or by obstacles to the translation of research into clinical practice. The analysis of current patterns of care by the use of routine data from electronic patient records or clinical registries may help highlight these deficiencies in actual care. The growing infrastructure of information technologies and the knowledge about clinically relevant variations of routine practice may help us understand the mechanisms that are impeding the translation of research into practice. There is a need to scrutinize these variations of practice and the barriers to guideline implementation. We think that an understanding and open discussion of such reasons may help, to continuously improve the quality of patient care. This process facilitates efforts and strategies to implement evidence-based medicine in the daily routine.
提高医疗质量需要有数据来识别和消除医疗过程中不必要的差异。差异可能是由于研究结果实施不力，或研究转化为临床实践存在障碍所致。利用电子病历或临床登记处的常规数据对当前的医疗模式进行分析，可能有助于凸显实际医疗中的这些不足。信息技术基础设施的不断发展以及对常规实践中临床相关差异的了解，可能有助于我们理解阻碍研究转化为实践的机制。有必要仔细审查这些实践差异以及指南实施的障碍。我们认为，对这些原因的理解和公开讨论可能有助于持续提高患者护理质量。这一过程有助于在日常工作中实施循证医学的努力和策略。
