Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 144
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 144
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 212
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3106
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
Healthcare is ever changing environment and with the Joint Commission for the Accreditation of Hospital Organization (JCAHO) emphasis on quality improvement during the past several years, and the cost-focused healthcare reforms of the 1990s, benchmarking with peer comparison, and more recently benchmarking against competitors, has taken on a new emphasis. All acute healthcare organizations accredited by JCAHO now require participation in a program titled ORYX, which is designed to use comparisons with other organizations and promote national benchmarks. The knowledge management system designed assists clinical engineering department to convert vast amounts of available data into information, which is ultimately transformed into knowledge to enable better decision-making. The systems assist in using the data as a comparison tool, to compare the performance internally and also compare performance with peer organizations using the same measures within the same measurement system. Collectively, these applications support better, faster data-driven decisions. This tool provides fast and easy access to financial and quality metrics to clinical engineering department managers, which increases their ability to perform sophisticated analysis to develop accurate models and forecasts, and make timely, data driven decisions. The project also provides a platform by means of which clinical engineering departmental procedures, data, and methods can be assessed and shared among institutions.
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