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Int J Soc Psychiatry
January 2025
Department of Neurology and Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Background: The COVID-19 pandemic necessitated substantial modifications in the delivery of patient care on a global scale. Telemedicine-based care services were implemented worldwide to maximize access to healthcare systems.
Aims: This study aimed to investigate the use of and satisfaction with telepsychiatry services implemented during the COVID-19 pandemic by psychiatrists across low, middle, and high income countries, and to assess levels of burnout among psychiatrists providing telepsychiatry services in different settings and countries.
J Med Internet Res
January 2025
Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Tokyo, Japan.
J Med Internet Res
January 2025
Division of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
J Telemed Telecare
January 2025
Academic Unit of Psychiatry & Addiction Medicine, School of Medicine and Psychology, The Australian National University, Canberra, Australia.
Objective: We aimed to examine the associations of telepsychiatry consultations with the Medicare Benefits Schedule (MBS) telehealth policy changes (pandemic-related expansion and subsequent consolidation).
Methods: We performed a time series analysis of MBS telepsychiatry usage (January 2016-December 2023) using state/territory-level Medicare panel data. Linear regression analyses with panel-corrected standard error and autocorrelation were performed for telepsychiatry consultations (overall and age and sex subgroups).
Ann Transl Med
December 2024
Division of Advanced Gastrointestinal and Bariatric Surgery, Mayo Clinic, Jacksonville, FL, USA.
Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.
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