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
Introduction: This study describes our experience implementing a connected prescription software (NetSIG, Terascop) for molecular pathology exams.
Material And Methods: NetSIG was set up for liquid biopsies and tissue testing. After registration and activation of regional pathology laboratories, NetSIG was implemented for external then internal prescriptions.
Results: NetSIG allows users to follow up on all prescriptions on the website, to interact through messages and to consult reports after validation. External set up was quick (3-4 months) and comprehensive (>70%). Prescriptions were made by physicians or more often by secretaries or referring pathologists. Internal prescriptions were made by pathologists then registered in NetSIG by our secretaries. This deployment strategy has resulted in very good completeness of prescriptions (>90%).
Discussion And Conclusion: Connected prescriptions made this complex circuit more fluid and facilitated the redistribution of different administrative and technical tasks. The number of phone calls decreased sharply. Half of the prescriptions were made by pathologists and half by oncologists (physicians or secretaries). The mean dearchiving duration for blocks was one day. Mean forwarding of blocks was 2.5 days. Mean turnaround time was 8 days for targeted techniques and 13 days for Next Generation Sequencing. Physicians appreciated the interactivity of the software and the fact that they could consult it on a smartphone.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.annpat.2024.02.009 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!