{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T23:04:53Z","timestamp":1779404693472,"version":"3.53.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686615","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,21]]},"abstract":"<jats:p>Electronic Health Records (EHRs) and Critical Care Information Systems (CCIS) are essential for data integration and patient safety. However, multi-vendor environments can introduce interface inconsistencies, increasing nurses\u2019 cognitive workload. This study qualitatively analyzed operational challenges following the implementation of a multi-vendor CCIS (Vendor A and B) in a Pediatric Intensive Care Unit. Free-text reports were examined using inductive content analysis. A total of 216 codes were identified and organized into 41 subcategories and eight overarching categories. Key findings revealed critical safety risks, including medication authentication failures and a significant unit discrepancy in NG tube depth (\u2018cm\u2019 vs \u2018cmH2O\u2019). Furthermore, the inadequacy of nursing observation masters rendered expert nursing practice \u201cinvisible\u201d within the records. These issues highlight that safety risks arise not from a lack of standards, but from the failed migration of facility-specific master data and inadequate implementation by vendors. To ensure patient safety, it is essential for vendors to guarantee the integrity of terminology implementation and for organizations to prioritize the seamless transition of clinical expertise during system replacement.<\/jats:p>","DOI":"10.3233\/shti260435","type":"book-chapter","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:04:53Z","timestamp":1779401093000},"source":"Crossref","is-referenced-by-count":0,"title":["Triangulating Technology Acceptance, Cognitive Load, and Human Factors: A Qualitative Analysis of Nursing Workflows with Multi-Vendor CCIS in PICU"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3211-3396","authenticated-orcid":false,"given":"Takeya","family":"Takami","sequence":"first","affiliation":[{"name":"Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukie","family":"Majima","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Opening the Personal Gate between Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:04:53Z","timestamp":1779401093000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260435"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"ISBN":["9781643686615"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260435","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}