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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
patient cases to the GPT and categorising the conditions based on urgency. In collaboration with an experienced hospital …
Persistent link: https://www.econbiz.de/10014496272
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Predicting no-show appointments in a pediatric hospital in Chile using machine learning
Dunstan, J.; Villena, F.; Hoyos, J.P.; Riquelme, V.; … - In: Health care management science : a new journal serving … 26 (2023) 2, pp. 313-329
Persistent link: https://www.econbiz.de/10014315752
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Designing AI-augmented healthcare delivery systems for physician buy-in and patient acceptance
Dai, Tinglong; Tayur, Sridhar - In: Production and operations management : the flagship … 31 (2022) 12, pp. 4443-4451
Persistent link: https://www.econbiz.de/10014265858
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Quality and accountability of Large Language Models (LLMs) in healthcare in low- and middle-income countries (LMIC) : a simulated patient study using ChatGPT
Si, Yafei; Yang, Yuji; Wang, Xi; An, Ruopeng; Zu, Jiaqi; … - 2024
Using simulated patients to mimic nine established non-communicable and infectious diseases over 27 trials, we assess …
Persistent link: https://www.econbiz.de/10015062654
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Creating patient e-knowledge for patients through telemedicine technologies
Cegarra-Navarro, Juan-Gabriel; Sánchez, Antonio Luís Gamo - In: Knowledge management research & practice : KMRP 10 (2012) 2, pp. 153-163
Persistent link: https://www.econbiz.de/10009567671
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Noninvasive ventilation technologies and healthcare for geriatric patients
Fonseca, César (ed.); Lopes, Manuel José (ed.);  … - 2020
"This book explores noninvasive ventilation technologies and healthcare for geriatric patients"-- …
Persistent link: https://www.econbiz.de/10012394699
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Lessons from startup for energising online patient care
Chauhan, Roma; Kumar, Amit; Singh, Harjit - In: International journal of technology marketing : IJTMkt 10 (2015) 2, pp. 195-208
Persistent link: https://www.econbiz.de/10011408520
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Factors influencing patients' fear during hospital visit
KC Raja Shree; Ponmathi Mangai B - In: Journal of Contemporary Issues in Business and Government 26 (2020) 2, pp. 782-788
Persistent link: https://www.econbiz.de/10012533889
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The impact of therapeutic procedure innovation on hospital patient longevity : evidence from Western Australia, 2000 - 2007
Lichtenberg, Frank R. - 2011
longevity of all hospital patients, i.e. patients with a variety of medical conditions. The analysis is based on data on over … life expectancy of WA hospital patients by almost 3 months between 2000 and 2007, controlling for the patient's age, sex … of WA hospital patients, but the implied increase may be smaller-about 2 months. In either case, therapeutic procedure …
Persistent link: https://www.econbiz.de/10009312729
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Are patients and relatives the better innovators? : the case of medical smartphone applications
Goeldner, Moritz; Herstatt, Cornelius - 2016
chain of an emerging new product and how they contribute to innovation. Further, user innovation success in the market is … studies in the healthcare sector have shown that healthcare professionals are an important source of innovation. Yet, to date …, companies and scholars have paid little attention to the end users of medical devices: patients. We focus on the innovative …
Persistent link: https://www.econbiz.de/10011437131