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
Background And Objectives: Climate change is one of the biggest threats to the healthcare sector. In addition, healthcare contributes significantly to greenhouse gas emissions. Virtual consultations are a growing tool to assess patients. The carbon emissions from virtual consultations have the potential to be much smaller than in-person consultations, predominantly through reduced transportation. This study assesses the carbon footprint of general practitioner referrals for skin lesions evaluated by a store-and-forward teledermatology service compared to an estimated equivalent in-person review.
Method: The carbon footprint of virtual consultations for skin lesions was compared to estimated equivalent in-person reviews based on the average transportation modalities in New Zealand.
Results: Virtual consultations for 484 patients resulted in an average saving of 48 km and 11.17 kg carbon dioxide equivalent per consultation compared to equivalent in-person review.
Discussion: This study encourages the use of store-and-forward skin lesion assessment as a way of reducing carbon emissions in the healthcare sector.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.31128/AJGP-08-23-6937 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!