Cover Image

Technological Utilization in Remote Healthcare: Factors Influencing Healthcare Professionals' Adoption and Use

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jat, Avnish Singh, Grønli, Tor-Morten, Ghinea, George
Format:	Preprint
Published:	2024
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Navigating Design Science Research in mHealth Applications: A Guide to Best Practices
by: Jat, Avnish Singh, et al.
Published: (2024)

Harnessing the Digital Revolution: A Comprehensive Review of mHealth Applications for Remote Monitoring in Transforming Healthcare Delivery
by: Jat, Avnish Singh, et al.
Published: (2024)

Exploring User Perspectives on Data Collection, Data Sharing Preferences, and Privacy Concerns with Remote Healthcare Technology
by: Napoli, Daniela, et al.
Published: (2025)

Designing Explainable AI for Healthcare Reviews: Guidance on Adoption and Trust
by: Alamoudi, Eman, et al.
Published: (2026)

Enabling the AI Revolution in Healthcare
by: Singh, Mona, et al.
Published: (2025)

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare
by: Tariq, Amara, et al.
Published: (2025)

Predicting Healthcare Provider Engagement in SMS Campaigns
by: Qureshi, Daanish Aleem, et al.
Published: (2025)

Large Language Models in Healthcare
by: Al-Garadi, Mohammed, et al.
Published: (2025)

Designing Health Technologies for Immigrant Communities: Exploring Healthcare Providers' Communication Strategies with Patients
by: Chen, Zhanming, et al.
Published: (2026)

The Adoption Paradox for Veterinary Professionals in China: High Use of Artificial Intelligence Despite Low Familiarity
by: Li, Shumin, et al.
Published: (2025)

Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis
by: Chen, Benjamin M., et al.
Published: (2026)

Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionals
by: Choudhury, Avishek, et al.
Published: (2024)

Artificial Pancreas Implantables -- How Healthcare Professionals May Deal With DIY Bio Cases
by: James, Austin, et al.
Published: (2026)

LunaAI: A Polite and Fair Healthcare Guidance Chatbot
by: Ganesan, Yuvarani, et al.
Published: (2026)

Mapping the Digital Healthcare Revolution
by: Compagnucci, Marcelo Corrales, et al.
Published: (2024)

Awareness and Adoption of AI Technologies in the Libraries of Karnataka
by: D'Souza, Felcy
Published: (2024)

The Impact of Transparent Use on Public Trust in the Utilization of Healthcare Data: An Evolutionary Game Analysis Perspective
by: Dandan Wang, et al.
Published: (2026)

A Study on Internet of Things in Women and Children Healthcare
by: Nigar, Nishargo
Published: (2024)

Position: Open and Closed Large Language Models in Healthcare
by: Xu, Jiawei, et al.
Published: (2025)

Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents
by: Vatsal, Shubham, et al.
Published: (2026)

Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study
by: Valentine, Alissa A., et al.
Published: (2024)

Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals
by: Siddiqui, Zohaib Hasan, et al.
Published: (2025)

Adoption and Use of LLMs at an Academic Medical Center
by: Shah, Nigam H., et al.
Published: (2026)

Transformers in Healthcare: A Survey
by: Nerella, Subhash, et al.
Published: (2023)

Medical Hallucinations in Foundation Models and Their Impact on Healthcare
by: Kim, Yubin, et al.
Published: (2025)

Analysis of Blockchain Integration in the e-Healthcare Ecosystem
by: Ouaguid, Abdellah, et al.
Published: (2024)

Guiding IoT-Based Healthcare Alert Systems with Large Language Models
by: Gao, Yulan, et al.
Published: (2024)

A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications
by: van Dijk, Bram, et al.
Published: (2024)

Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions
by: Thomas, Jubin
Published: (2024)

Navigating the Future of Healthcare HR: Agile Strategies for Overcoming Modern Challenges
by: Karim, Syeda Aynul, et al.
Published: (2024)

A Scalable and Automated Framework for Tracking the likely Adoption of Emerging Technologies
by: Williams, Lowri, et al.
Published: (2024)

User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study
by: Choudhury, Avishek, et al.
Published: (2025)

Training Data Attribution (TDA): Examining Its Adoption & Use Cases
by: Cheng, Deric, et al.
Published: (2025)

A Mixed Methods Systematic Analysis of Issues and Factors Influencing Organizational Cloud Computing Adoption and Usage in the Public Sector: Initial Findings
by: Theby, Mark
Published: (2026)

Evaluating Fair Feature Selection in Machine Learning for Healthcare
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
by: Nasir, Sidra, et al.
Published: (2023)

Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling
by: Wang, Xiaoyang, et al.
Published: (2025)

The Integration of Blockchain and Artificial Intelligence for Secure Healthcare Systems
by: Safdar, Umar, et al.
Published: (2025)

Towards Smart Healthcare: Challenges and Opportunities in IoT and ML
by: Saifuzzaman, Munshi, et al.
Published: (2023)

The Data Sharing Paradox of Synthetic Data in Healthcare
by: Achterberg, Jim, et al.
Published: (2025)