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
Objectives: The sequence of intravenous infusions may impact the efficacy, safety, and cost of intravenous medications. The study describes and assesses a computerized clinical decision support annotation system capable of analyzing the sequence of intravenous infusions.
Methods: All intravenous medications on the hospital formulary were analyzed based on factors that impact intravenous infusion sequence. Eight pharmacy infusion knowledge databases were constructed based on Hospital Infusion Standards. These databases were incorporated into the computerized sequence annotation module within the electronic health record system. The annotation process was changed from pharmacists' manual annotation (phase 1) to computer-aided pharmacist manual annotation (phase 2) to automated computer annotation (phase 3).
Results: Comparing phase 2 to phase 1, there were significant differences in sequence annotation with regards to the percentage of hospital wards annotated (100% vs. 4.65%, chi-square = 180.95, < 0.001), percentage of patients annotated (64.18% vs. 0.52%, chi-square = 90.46, < 0.001), percentage of intravenous orders annotated (75.67% vs. 0.77%, chi-square = 118.78, < 0.001), and the number of tubing flushes per ward per day (118.51 vs. 2,115.00, < 0.001). Compared with phase 1, there were significant cost savings in tubing flushes in phase 2 and phase 3. Compared with phase 1, there was significant difference in the time nurses spent on tubing flushes in phase 2 and phase 3 (1,244.94 vs. 21,684.8 minutes, < 0.001; 1,369.51 vs. 21,684.8 minutes, < 0.001). Compared with phase 1, significantly less time was required for pharmacist annotation in phase 2 and phase 3 (90.6 vs. 4,753.57 minutes, < 0.001; 0.05 vs. 4,753.57 minutes, < 0.001).
Conclusion: A computerized infusion annotation system is efficient in sequence annotation and significant savings in tubing flushes can be achieved as a result.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857956 | PMC |
http://dx.doi.org/10.1055/s-0041-1722871 | DOI Listing |
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