Waruhari Philomena, Babic Ankica, Nderu Lawrence, Were Martin C
Department of Information Science and Media Studies, University of Bergen, Norway.
Department of Biomedical Engineering, Linköping University, Sweden.
Stud Health Technol Inform. 2017;238:205-208.
As healthcare organizations strive to improve quality of care and patient safety, it becomes paramount that they identify patients correctly and match records accurately both within and across institutions. Continuous care and population health benefits can be optimized when providers can have a comprehensive view of a patient's health record through seamless health information exchange. Various patient matching techniques have emerged to facilitate accurate patient identification. In this paper, we present a review of existing patient matching techniques, analyzed based on accuracy, cost and execution time.
随着医疗保健机构努力提高护理质量和患者安全，正确识别患者并在机构内部和机构之间准确匹配记录变得至关重要。当医疗服务提供者能够通过无缝的健康信息交换全面了解患者的健康记录时，持续护理和人群健康效益就能得到优化。各种患者匹配技术应运而生，以促进准确的患者识别。在本文中，我们对现有的患者匹配技术进行了综述，并根据准确性、成本和执行时间进行了分析。
