Deng Yu, Gleason Lacey P, Culbertson Adam, Chen Xiaotian, Bernstam Elmer V, Cullen Theresa, Gouripeddi Ramkiran, Harle Christopher, Hesse David F, Kean Jacob, Lee John, Magoc Tanja, Meeker Daniella, Ong Toan, Pathak Jyotishman, Rosenman Marc, Rusie Laura K, Shah Akash J, Shi Lizheng, Thomas Aaron, Trick William E, Grannis Shaun, Kho Abel
Center for Health Information Partnerships, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.
Statistical Innovation Group, Data and Statistical Sciences, AbbVie, Inc, North Chicago, IL 60064, United States.
Health Aff Sch. 2023 Oct 12;1(4):qxad047. doi: 10.1093/haschl/qxad047. eCollection 2023 Oct.
Variation in availability, format, and standardization of patient attributes across health care organizations impacts patient-matching performance. We report on the changing nature of patient-matching features available from 2010-2020 across diverse care settings. We asked 38 health care provider organizations about their current patient attribute data-collection practices. All sites collected name, date of birth (DOB), address, and phone number. Name, DOB, current address, social security number (SSN), sex, and phone number were most commonly used for cross-provider patient matching. Electronic health record queries for a subset of 20 participating sites revealed that DOB, first name, last name, city, and postal codes were highly available (>90%) across health care organizations and time. SSN declined slightly in the last years of the study period. Birth sex, gender identity, language, country full name, country abbreviation, health insurance number, ethnicity, cell phone number, email address, and weight increased over 50% from 2010 to 2020. Understanding the wide variation in available patient attributes across care settings in the United States can guide selection and standardization efforts for improved patient matching in the United States.
医疗保健机构之间患者属性的可用性、格式和标准化差异会影响患者匹配性能。我们报告了2010年至2020年期间不同护理环境中可用的患者匹配特征的变化性质。我们询问了38家医疗保健机构关于其当前患者属性数据收集做法的情况。所有机构都收集姓名、出生日期(DOB)、地址和电话号码。姓名、DOB、当前地址、社会安全号码(SSN)、性别和电话号码最常用于跨机构患者匹配。对20个参与机构的子集进行的电子健康记录查询显示,DOB、名字、姓氏、城市和邮政编码在各医疗保健机构和不同时期的可用性都很高(>90%)。在研究期的最后几年,SSN的可用性略有下降。从2010年到2020年,出生性别、性别认同、语言、国家全称、国家缩写、健康保险号码、种族、手机号码、电子邮件地址和体重的可用性增加了50%以上。了解美国不同护理环境中可用患者属性的广泛差异,可以指导在美国进行改进患者匹配的选择和标准化工作。