Ethical use of electronic health record data and artificial intelligence: recommendations of the primary care informatics working group of the international medical …

ST Liaw, H Liyanage, C Kuziemsky… - Yearbook of medical …, 2020 - thieme-connect.com
Objective: To create practical recommendations for the curation of routinely collected health
data and artificial intelligence (AI) in primary care with a focus on ensuring their ethical use …

AI in Medical Education: Global situation, effects and challenges

W Zhang, M Cai, HJ Lee, R Evans, C Zhu… - Education and Information …, 2024 - Springer
Abstract Purpose Artificial Intelligence (AI) is transforming healthcare and shows
considerable promise for the delivery of medical education. This systematic review provides …

[HTML][HTML] Artificial intelligence supporting the training of communication skills in the education of health care professions: scoping review

T Stamer, J Steinhäuser, K Flägel - Journal of Medical Internet Research, 2023 - jmir.org
Background Communication is a crucial element of every health care profession, rendering
communication skills training in all health care professions as being of great importance …

[HTML][HTML] A human (e) factor in clinical decision support systems

T Bezemer, MCH De Groot, E Blasse… - Journal of medical …, 2019 - jmir.org
The overwhelming amount, production speed, multidimensionality, and potential value of
data currently available—often simplified and referred to as big data—exceed the limits of …

Artificial intelligence for strengthening healthcare systems in low-and middle-income countries: a systematic scoping review

T Ciecierski-Holmes, R Singh, M Axt, S Brenner… - npj Digital …, 2022 - nature.com
In low-and middle-income countries (LMICs), AI has been promoted as a potential means of
strengthening healthcare systems by a growing number of publications. We aimed to …

Revolutionizing Healthcare: The Transformative Impact of Artificial Intelligence in Medicine

MU Qayyum, AMK Sherani, M Khan… - BIN: Bulletin Of …, 2023 - ojs.jurnalmahasiswa.com
This study offers a thorough analysis of the applications, difficulties, and potential
ramifications of artificial intelligence (AI) in healthcare. An introduction to AI in diagnostics is …

Role of artificial intelligence within the telehealth domain

C Kuziemsky, AJ Maeder, O John… - Yearbook of medical …, 2019 - thieme-connect.com
Objectives: This paper provides a discussion about the potential scope of applicability of
Artificial Intelligence methods within the telehealth domain. These methods are focussed on …

[HTML][HTML] Sustainable adoption of digital health innovations: perspectives from a stakeholder workshop

MH Van Velthoven, C Cordon - Journal of medical Internet research, 2019 - jmir.org
Background There are various complex reasons that influence sustainable adoption of
innovations in health care systems. Low adoption can be caused by a lack of support from …

[HTML][HTML] Evaluation framework for successful artificial intelligence–enabled clinical decision support systems: mixed methods study

M Ji, GZ Genchev, H Huang, T Xu, H Lu, G Yu - Journal of medical Internet …, 2021 - jmir.org
Background Clinical decision support systems are designed to utilize medical data,
knowledge, and analysis engines and to generate patient-specific assessments or …

[HTML][HTML] Artificial intelligence in healthcare: opportunities and risk for future

S Sunarti, FF Rahman, M Naufal, M Risky, K Febriyanto… - Gaceta sanitaria, 2021 - Elsevier
Objective This study aimed to find out the opportunity of artificial intelligence (AI) and the risk
in health service. Method A comprehensive literature search was collected from three …