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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Aim: To find a rapid, scientific, rational and accurate method of allocating nursing human resources during the COVID-19 pandemic.
Design: A longitudinal prospective study.
Methods: Lean management tool is used to implement four-level scheduling of nursing human resources, which is departmental level, district level, hospital level and city level, according to the daily reporting data of the whole hospital, such as Lianfan scheduling data, Dingding sensitive data and Hospital Information System daily report data.
Results: Fifty batches of nursing manpower, 294 nurses and 3813 working days were deployed during the pandemic, and the nursing human resources allocation mathematical models of the hospital and all departments were constructed. Since COVID-19 occurred, the infection rate of nurses with novel coronavirus and the mortality rate of critical patients have been keeping 0%, and the cure rate of common patients has been 100%.
Conclusion: The use of lean management tool to allocate nursing human resources plays a positive role in ensuring zero infection of nurses, improving the cure rate of common patients and reducing the mortality rate of critically ill patients with COVID-19.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416023 | PMC |
http://dx.doi.org/10.1002/nop2.1917 | DOI Listing |
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