{"title":"Dear ChatGPT – can you teach me how to program an app for laboratory medicine?","authors":"Annika Meyer, Johannes Ruthard, T. Streichert","doi":"10.1515/labmed-2024-0034","DOIUrl":null,"url":null,"abstract":"\n \n \n The multifaceted potential of ChatGPT in the medical domain remains underexplored, particularly regarding its application in software development by individuals with a medical background but limited information technology expertise.\n \n \n \n This study investigates ChatGPT’s utility in creating a laboratory medicine application. Despite minimal programming skills, the authors successfully developed an automated intra-assay, inter-device precision test for immunophenotyping with a shiny user interface, facilitated by ChatGPT. While the coding process was expedited, meticulous oversight and error correction by the authors were imperative.\n \n \n \n These findings highlight the value of large language models such as ChatGPT in code-based application development for automating work processes in a medical context. Particularly noteworthy is the facilitation of these tasks for non-technically trained medical professionals and its potential for digital medical education.\n","PeriodicalId":55986,"journal":{"name":"Journal of Laboratory Medicine","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Laboratory Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1515/labmed-2024-0034","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The multifaceted potential of ChatGPT in the medical domain remains underexplored, particularly regarding its application in software development by individuals with a medical background but limited information technology expertise.
This study investigates ChatGPT’s utility in creating a laboratory medicine application. Despite minimal programming skills, the authors successfully developed an automated intra-assay, inter-device precision test for immunophenotyping with a shiny user interface, facilitated by ChatGPT. While the coding process was expedited, meticulous oversight and error correction by the authors were imperative.
These findings highlight the value of large language models such as ChatGPT in code-based application development for automating work processes in a medical context. Particularly noteworthy is the facilitation of these tasks for non-technically trained medical professionals and its potential for digital medical education.
期刊介绍:
The Journal of Laboratory Medicine (JLM) is a bi-monthly published journal that reports on the latest developments in laboratory medicine. Particular focus is placed on the diagnostic aspects of the clinical laboratory, although technical, regulatory, and educational topics are equally covered. The Journal specializes in the publication of high-standard, competent and timely review articles on clinical, methodological and pathogenic aspects of modern laboratory diagnostics. These reviews are critically reviewed by expert reviewers and JLM’s Associate Editors who are specialists in the various subdisciplines of laboratory medicine. In addition, JLM publishes original research articles, case reports, point/counterpoint articles and letters to the editor, all of which are peer reviewed by at least two experts in the field.