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
A mathematical model, the Bass model, was used to forecast the adoption of new medical technology based on durable equipment. When the model was applied to five successful medical technologies, actual unit sales were predicted for three. The technologies investigated are computed tomography (CT scan), magnetic resonance imaging (MRI), ultrasound, hemodialysis, and lithotripsy. Because unit sales data for dialysis and ultrasound could not be obtained or estimated from secondary sources for the years immediately after market entry, application of the Bass model produced questionable results for those technologies. However, results for CT scan, MRI, and lithotripsy suggest that this model can be used to predict the adoption of new medical technology based on durable equipment when annual unit sales data can be estimated for the period immediately after market entry.
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