{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T22:49:59Z","timestamp":1774651799304,"version":"3.50.1"},"reference-count":13,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T00:00:00Z","timestamp":1728604800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T00:00:00Z","timestamp":1728604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>The widespread adoption of Hospital Information Systems (HIS) has brought significant benefits in healthcare quality and workflow efficiency. However, downtimes for system maintenance are inevitable and pose a considerable challenge to continuous patient care. Existing strategies, including manual prescription methods, are no longer effective due to increasing reliance on digital systems.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Method<\/jats:title>\n                <jats:p>This study implemented two main strategies to mitigate the impact of scheduled downtimes. First, we created an \u201cEmergency query program\u201d that switches to a read-only backup server during downtimes, allowing clinicians to view essential patient data. Second, an \u201cEmergency prescription system\u201d was developed based on the Microsoft Power Platform and integrated into Microsoft Teams. This allows clinicians to perform digital prescriptions even during downtimes.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>During a planned 90-minute downtime, 282 users accessed the Emergency Prescription System, resulting in 22 prescriptions from various departments. Average times for prescription confirmation and completion were 8\u00a0min and 3\u00a0s, and 18\u00a0min and 40\u00a0s, respectively. A post-downtime evaluation revealed high user satisfaction.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Essential maintenance-induced HIS downtimes are inherently disruptive to patient care process. Our deployment of an emergency query program and a Microsoft Teams-integrated emergency prescription system demonstrated robust care continuity during HIS downtime.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12911-024-02710-0","type":"journal-article","created":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T11:01:51Z","timestamp":1728644511000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Strategy for scheduled downtime of hospital information system utilizing third-party applications"],"prefix":"10.1186","volume":"24","author":[{"given":"Inhae","family":"Jo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Woojin","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Younghee","family":"Lim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eunjeong","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinung","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyekyung","family":"Chung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihae","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eunhye","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoon Bin","family":"Jung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,11]]},"reference":[{"issue":"10","key":"2710_CR1","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1001\/jama.293.10.1223","volume":"293","author":"AX Garg","year":"2005","unstructured":"Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223\u201338.","journal-title":"JAMA"},{"issue":"6","key":"2710_CR2","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1056\/NEJMp1006114","volume":"363","author":"D Blumenthal","year":"2010","unstructured":"Blumenthal D, Tavenner M. The meaningful use regulation for electronic health records. N Engl J Med. 2010;363(6):501\u20134.","journal-title":"N Engl J Med"},{"issue":"1","key":"2710_CR3","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1186\/1472-6963-13-39","volume":"13","author":"J Lee","year":"2013","unstructured":"Lee J, Kuo Y-F, Goodwin JS. The effect of electronic medical record adoption on outcomes in US hospitals. 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J Am Med Inf Assoc. 2018;25(2):187\u201391.","journal-title":"J Am Med Inf Assoc"},{"issue":"03","key":"2710_CR9","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1055\/s-0043-1768995","volume":"14","author":"R Lyon","year":"2023","unstructured":"Lyon R, Jones A, Burke R, Baysari MT. What goes up, must come down: a state-of-the-art Electronic Health Record Downtime and Uptime Procedure in a Metropolitan Health setting. Appl Clin Inf. 2023;14(03):513\u201320.","journal-title":"Appl Clin Inf"},{"key":"2710_CR10","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1186\/1472-6963-10-231","volume":"10","author":"A Boonstra","year":"2010","unstructured":"Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. 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The survey was participated in voluntarily and anonymously by the users who received the email. It was impossible to retrospectively obtain consent from anonymous respondents at the time of this study, and the acquisition of informed consent was waived as all the items specified in 45 CFR (Code of Federal Regulation) 46.116(f) [] were met. Including the above, this study was approved by the Yonsei University Health System, Severance Hospital, Institutional Review Board.(IRB No. 4-2023-1294)2)","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"300"}}