Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Introduction: There is limited evidence describing the impact of electronic medical record (EMR) implementation on allied health professionals' acceptance, expectations, and work efficiencies. This study aims to: A) identify clinician expectations and factors that influence EMR acceptance; B) evaluate perceived usability, technology proficiency and satisfaction; and C) assess the impact of EMR big bang implementation on allied health workflows at three Australian tertiary hospitals.
Methods: Repeated measures study pre and six-months post EMR implementation. User acceptance was evaluated with online surveys: Unified Theory of Acceptance and Use of Technology (pre), System Usability Scale and open-ended questions (post). A four-hour time-motion study evaluated changes in allied health inpatient workflows.
Results: Surveys were completed by 224 allied health clinicians (47% response rate) pre, and 196 (41%) post-implementation. Pre-implementation, 96% of respondents felt using the EMR was a good idea and they would find it useful. Six-months post-implementation 88% liked interacting with the EMR. 64% found it easy to use and most didn't require technical support (78%). While 68% of participants felt very confident, 51% believed they were not using the EMR's full potential. Post-implementation half of participants agreed significant upskilling was required and that EMR workflows were not quick to learn. Live demonstrations were considered the most helpful activity prior to training; hands-on practice in the training environment and superuser support were invaluable preparing for and during go-live. Time-motion data (mean difference (MD) (95% CI)) indicated that following implementation participants spent 2.27% (-3.53, 8.09, p = 0.731) more time in clinical tasks. More time was spent performing clinical documentation (5.39% (1.98, 8.8), p = 0.002).
Conclusions: Many factors can impact allied health professional's adoption of a new EMR. Institution-wide, simultaneous big bang EMR implementation, with strong allied health leadership, can lead to positive benefits, particularly in user experience. Ongoing evaluation will drive future improvements.
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Source |
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http://dx.doi.org/10.1016/j.ijmedinf.2023.105094 | DOI Listing |
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