EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"gpt-based language models"
Narrow search

Narrow search

Year of publication
Subject
All
Chatgpt 2 artificial intelligence 2 automation 2 gpt-based language models 2 healthcare 2 healthcare optimization 2 medical decision-making 2 patient conditions 2 triage 2 triage optimization 2 urgency categorization 2 Artificial intelligence 1 Automation 1 Automatisierung 1 E-Health 1 E-health 1 Gesundheitsversorgung 1 Gesundheitswesen 1 Health care 1 Health care system 1 Hospital 1 Krankenhaus 1 Künstliche Intelligenz 1 Patienten 1 Patients 1 digitalization 1 digitaliziation 1
more ... less ...
Online availability
All
Free 2 CC license 1
Type of publication
All
Article 2
Type of publication (narrower categories)
All
Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 2
Author
All
Fildor, Dorian 2 Pejić Bach, Mirjana 1 Pejić Bach, Mirjana 1
Published in...
All
ENTRENOVA - ENTerprise REsearch InNOVAtion 1 Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) 1
Source
All
ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Testing the Ability of ChatGPT to Categorise Urgent and Non-Urgent Patient Conditions: Who ya gonna call?
Fildor, Dorian; Pejić Bach, Mirjana - In: ENTRENOVA - ENTerprise REsearch InNOVAtion 9 (2023) 1, pp. 101-112
This research explores the feasibility of utilising ChatGPT to categorise patient conditions as urgent and non-urgent. The primary objective is to assess the ChatGPT model's capacity to aid in the automation and digitalisation of healthcare processes, thereby alleviating the workload on...
Persistent link: https://www.econbiz.de/10015052752
Saved in:
Cover Image
Testing the ability of ChatGPT to categorise urgent and non-urgent patient conditions : who ya gonna call?
Fildor, Dorian; Pejić Bach, Mirjana - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 9 (2023) 1, pp. 101-112
This research explores the feasibility of utilising ChatGPT to categorise patient conditions as urgent and non-urgent. The primary objective is to assess the ChatGPT model's capacity to aid in the automation and digitalisation of healthcare processes, thereby alleviating the workload on...
Persistent link: https://www.econbiz.de/10014496272
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...