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
In the healthcare field, there has been a growing interest in using artificial intelligence (AI)-powered tools to assist healthcare professionals, including pharmacists, in their daily tasks. To provide commentary and insight into the potential for generative AI language models such as ChatGPT as a tool for answering practice-based, clinical questions and the challenges that need to be addressed before implementation in pharmacy practice settings. To assess ChatGPT, pharmacy-based questions were prompted to ChatGPT (Version 3.5; free version) and responses were recorded. Question types included 6 drug information questions, 6 enhanced prompt drug information questions, 5 patient case questions, 5 calculations questions, and 10 drug knowledge questions (e.g., top 200 drugs). After all responses were collected, ChatGPT responses were assessed for appropriateness. ChatGPT responses were generated from 32 questions in 5 categories and evaluated on a total of 44 possible points. Among all ChatGPT responses and categories, the overall score was 21 of 44 points (47.73%). ChatGPT scored higher in pharmacy calculation (100%), drug information (83%), and top 200 drugs (80%) categories and lower in drug information enhanced prompt (33%) and patient case (20%) categories. This study suggests that ChatGPT has limited success as a tool to answer pharmacy-based questions. ChatGPT scored higher in calculation and multiple-choice questions but scored lower in drug information and patient case questions, generating misleading or fictional answers and citations.
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Source |
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http://dx.doi.org/10.1177/08971900241256731 | DOI Listing |
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