Real World Performance of Approximate String Comparators for use in Patient Matching
Real World Performance of Approximate String Comparators for use in Patient Matching
复制标题
用于患者匹配的近似字符串比较器的真实性能
DOI：
10.3233/978-1-60750-949-3-43
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发表时间：
2004
影响因子：
--
通讯作者：
C. McDonald
中科院分区：
文献类型：
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作者：
S. Grannis;J. Overhage;C. McDonald
随着临床数据分布在独立的来源中，医疗记录链接变得越来越重要。为了提高链接准确性，我们研究了不同的名称比较方法，以确定相应名称之间的一致或不一致。除了精确的原始名称匹配和精确的语音名称匹配之外，我们还测试了三个近似字符串比较器。近似比较器包括改进的 Jaro-Winkler 方法、最长公共子串和 Levenshtein 编辑距离。我们还计算了这三者的组合均方根。我们使用确定性记录链接算法测试了每种名称比较方法。两家医院的结果一致。在阈值比较器得分为 0.8 时，Jaro-Winkler 比较器实现了最高的连锁灵敏度，分别为 97.4% 和 97.7%。组合均方根方法实现了高于 Levenshtein 编辑距离或最长公共子串的灵敏度，同时保持了高连锁特异性。与精确匹配比较相比，近似字符串比较器将确定性链接灵敏度提高了 10%，并且代表了链接到重要统计数据的准确方法。
Medical record linkage is becoming increasingly important as clinical data is distributed across independent sources. To improve linkage accuracy we studied different name comparison methods that establish agreement or disagreement between corresponding names. In addition to exact raw name matching and exact phonetic name matching, we tested three approximate string comparators. The approximate comparators included the modified Jaro-Winkler method, the longest common substring, and the Levenshtein edit distance. We also calculated the combined root-mean square of all three. We tested each name comparison method using a deterministic record linkage algorithm. Results were consistent across both hospitals. At a threshold comparator score of 0.8, the Jaro-Winkler comparator achieved the highest linkage sensitivities of 97.4% and 97.7%. The combined root-mean square method achieved sensitivities higher than the Levenshtein edit distance or long-est common substring while sustaining high linkage specificity. Approximate string comparators increase deterministic linkage sensitivity by up to 10% compared to exact match comparisons and represent an accurate method of linking to vital statistics data.
在集成临床信息系统中验证患者姓名。
DOI：
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发表时间：
1991
期刊：
Proceedings. Symposium on Computer Applications in Medical Care
影响因子：
--
作者：
Sideli,RV;Friedman,C
通讯作者：
Friedman,C
无需人工审核的概率记录链接技术分析。
DOI：
--
发表时间：
2003
期刊：
AMIA ... Annual Symposium proceedings. AMIA Symposium
影响因子：
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作者：
Grannis,ShaunJ;Overhage,JMarc;Hui,Siu;McDonald,ClementJ
通讯作者：
McDonald,ClementJ