Cummins Mollie R, Ranade-Kharkar Pallavi, Johansen Cody, Bennett Heather, Gabriel Shelley, Crouch Barbara I, Del Fiol Guilherme, Hoffman Matt
University of Utah College of Nursing, The University of Utah, Salt Lake City, Utah, United States.
Homer Warner Center, Intermountain Healthcare, Salt Lake City, Utah, United States.
Appl Clin Inform. 2018 Jul;9(3):553-557. doi: 10.1055/s-0038-1667000. Epub 2018 Jul 25.
U.S. poison control centers pose a special case for patient identity matching because they collect only minimal patient identifying information.
In early 2017, the Utah Poison Control Center (Utah PCC) initiated participation in regional health information exchange by sending Health Level Seven Consolidated Clinical Document Architecture (C-CDA) documents to the Utah Health Information Network and Intermountain Healthcare. To increase the documentation of patient identifiers by the Utah PCC, we (1) adapted documentation practices to enable more complete and consistent documentation, and (2) implemented staff training to improve collection of identifiers.
Compared with the same time period in 2016, the Utah PCC showed an increase of 27% ( < 0.001) in collection of birth date for cases referred to a health care facility, while improvements in the collection of other identifiers ranged from 0 to 8%. Automated patient identity matching was successful for 77% (100 of 130) of the C-CDAs.
Historical processes and procedures for matching patient identities require adaptation or added functionality to adequately support the PCC use case.
美国中毒控制中心在患者身份匹配方面是一个特殊案例，因为它们仅收集极少的患者识别信息。
2017年初，犹他州中毒控制中心（Utah PCC）通过向犹他州健康信息网络和山间医疗保健机构发送健康级别7整合临床文档架构（C-CDA）文档，开始参与区域健康信息交换。为增加犹他州中毒控制中心对患者标识符的记录，我们（1）调整记录做法以实现更完整和一致的记录，以及（2）开展员工培训以改善标识符的收集。
与2016年同期相比，犹他州中毒控制中心在转介至医疗机构的病例中，出生日期的收集增加了27%（<0.001），而其他标识符收集的改善幅度在0%至8%之间。77%（130份中的100份）的C-CDA实现了自动患者身份匹配。
匹配患者身份的历史流程和程序需要调整或增加功能，以充分支持中毒控制中心的用例。
