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
The serious repercussions of healthcare errors on patient safety have led hospitals to deploy information technology and continuous control monitoring systems to prevent them. Hospitals are moving away from traditional paper-based systems and focusing on designing new systems that prevent errors, using information technologies to catalyse the process re-engineering. This paper presents a case study that analyses the effect of computerised physician order entry and automated unit-based medication storage and distribution systems on the drug ordering and delivery process. It is concluded that information technology and continuous control monitoring systems have led to significant process re-engineering in the sequential stages of the drug ordering and delivery system. The new systems have also provided the opportunity to improve information available. This is an exploratory case study and the conclusions drawn from it offer possible routes for future research in this field.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/183335831204100103 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!