{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:20:31Z","timestamp":1740201631685,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"abstract":"<jats:p>This paper presents a framework for addressing data access challenges associated with secondary use of high-dimensional transactional datasets that have been extracted from electronic health\/medical records (EHRs). These datasets are subject to the data de-identification &amp;ldquo;curse of dimensionality&amp;rdquo; [1] which manifests as substantial challenges to preserving analytical integrity of data contents when high-dimensional datasets must be de-identified and deemed free of Personal Information (PI) prior to disclosure. A large array of methods can achieve this objective &amp;ndash; for low dimensional datasets. However, these methods have not been scaled up to the types of high-dimensional data that must be sourced from the transactional EHR if the objective is specifically to generate products that can inform point-of-care clinical decision-making. The Applied Clinical Research Unit (ACRU) in Island Health is implementing a process that addresses key privacy challenges inherent in disclosures of high-dimensional transactional health data. This paper presents a schematic and abbreviated rendering of key principles and processes on which the ACRU approach is based.<\/jats:p>","DOI":"10.3233\/978-1-61499-951-5-319","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:07:16Z","timestamp":1740121636000},"source":"Crossref","is-referenced-by-count":0,"title":["&amp;ldquo;Real-World&amp;rdquo; De-Identification of High-Dimensional Transactional Health Datasets"],"prefix":"10.3233","author":[{"family":"Moselle Kenneth A.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Robertson Stan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Koval Andriy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Improving Usability, Safety and Patient Outcomes with Health Information Technology"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:59:43Z","timestamp":1740124783000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-950-8&spage=319&doi=10.3233\/978-1-61499-951-5-319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-951-5-319","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2019]]}}}