Cheung N T, Fung V, Chow Y Y, Tung Y
Hospital Authority Head Office, Kowloon, Hong Kong.
Stud Health Technol Inform. 2001;84(Pt 1):609-13.
Routine databases containing large amounts of clinical data represent a tremendous opportunity for the evaluation of health care practices and outcomes. However, data collected for administrative purposes has limitations in content, accuracy and completeness. Routine entry of clinical information directly into clinical information systems by care providers is one strategy to address this problem. We developed a structured data entry method, the Clinical Data Framework (CDF), which has been used to support the capture of clinical information by clinicians in the normal process of care delivery. A study of the CDF over a two month period showed that it improved the accuracy of completeness of data collection over a coding method which was based on selection of ICD-9-CM codes.
包含大量临床数据的常规数据库为评估医疗保健实践和结果提供了巨大机遇。然而,出于管理目的收集的数据在内容、准确性和完整性方面存在局限性。护理人员将临床信息直接常规录入临床信息系统是解决这一问题的一种策略。我们开发了一种结构化数据录入方法,即临床数据框架(CDF),该方法已被用于支持临床医生在正常护理过程中获取临床信息。一项为期两个月的关于CDF的研究表明,与基于选择ICD - 9 - CM编码的编码方法相比,它提高了数据收集的完整性准确性。