Using AI to Predict Patients' Length of Stay: PACU Staff's Needs and Expectations for Developing and Implementing an AI System

S Lundsten, M Jacobsson, P Rydén… - Journal of Nursing …, 2024 - Wiley Online Library
Introduction: The need for innovative technology in healthcare is apparent due to challenges
posed by the lack of resources. This study investigates the adoption of AI‐based systems …

Revealing the Challenges to Automation Adoption in Organizations: Examining Practitioner Perspectives From an International Airport

G Gomez-Beldarrain, H Verma, E Kim… - Extended Abstracts of the …, 2024 - dl.acm.org
Sustained adoption of automation is a problem for organizations, despite the promised
benefits of automation and the propensity for organizations to expect it to transform their …

[HTML][HTML] Модель роста экономики региона на основе индекса экономической сложности

АЛ Чупин, ВН Засько, ДЕ Морковкин… - Финансы: теория и …, 2024 - cyberleninka.ru
Важной задачей Целей устойчивого развития ООН (ЦУР) является эффективное
использование ресурсов планеты. В данном исследовании авторы показывают …

[PDF][PDF] Implementing Electronic Health Records–Objectives, Obstacles, Outcomes

G Ellingsen, M Grisot, M Hertzum… - … : Proceedings of the …, 2024 - mortenhertzum.dk
Electronic health records (EHRs) support healthcare professionals in their treatment of
patients by providing the means to order, document, and follow up on the steps taken to care …

Revealing the Challenges to Automation Adoption in Organizations

G Gomez Beldarrain, H Verma, EY Kim, A Bozzon - 2024 - repository.tudelft.nl
Sustained adoption of automation is a problem for organizations, despite the promised
benefits of automation and the propensity for organizations to expect it to transform their …

Predicting Patient No-Shows: Situated Machine Learning with Imperfect Data

C Gyldenkærne, JG Simonsen, G From… - … : Digital Health and …, 2024 - forskning.ruc.dk
Patients who do not show up for scheduled appointments are a considerable cost and
concern in healthcare. In this study, we predict patient no-shows for outpatient surgery at the …