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Automated patient linking for electronic health record and child welfare databases
Journal of Technology in Human Services Pub Date : 2019-03-12 , DOI: 10.1080/15228835.2019.1578327
Judith W Dexheimer 1, 2, 3 , Sarah J Beal 3, 4 , Parth Divekar 2 , Eric S Hall 2, 3, 5 , Vikash Patel 6 , Mary V Greiner 3, 6
Affiliation  

Abstract There are 427,000 children in protective custody in the United States. A lack of integration between the child welfare data system and electronic health record systems complicates the communication of critical health history details to caregivers. We created and evaluated automated 10 custom algorithms linking these data. Deterministic matching was performed using combinations of first and last name, date of birth, and gender. If unmatched, a nondeterministic algorithm allowed for punctuation differences and letter transpositions. Of the children linked deterministically, 91.3% were linked. Of the ones undergoing nondeterministic matching, 71.3% were linked. Sharing integrated data is the first step in systematically improving health outcomes for children in protective custody. This approach represents an automatable and scalable solution that could help merge data from two disparate sources.

中文翻译:

电子病历和儿童福利数据库的自动患者链接

摘要在美国,有427,000名儿童被保护性监护。儿童福利数据系统和电子健康记录系统之间缺乏集成,这使得关键健康史详细信息与看护人之间的交流变得十分复杂。我们创建并评估了链接这些数据的10种自动化自定义算法。确定性匹配是通过使用名字和姓氏,出生日期和性别来进行的。如果不匹配,则不确定性算法将允许标点符号差异和字母转置。在确定性链接的孩子中,有91.3%被链接。在进行不确定性匹配的那些中,有71.3%被链接。共享综合数据是系统地改善保护性监护儿童健康状况的第一步。
更新日期:2019-03-12
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