ArticleJournal of emergencies, trauma, and shock
The World Health Organization Collaborating Center for Emergency and Trauma (WHO-CCET) in South East Asia, The World Academic Council of Emergency Medicine (WACEM), and The American College of Academic International Medicine (ACAIM) 2021 Framework for using Telemedicine Technology at Healthcare Institutions.
Article in Journal of emergencies, trauma, and shock. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
23 authors.
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Abstract
The coronavirus disease 2019 crisis has forced the world to integrate telemedicine into health delivery systems in an unprecedented way. To deliver essential care, lawmakers, physicians, patients, payers, and health systems have all adopted telemedicine and redesigned delivery processes with accelerated speed and coordination in a fragmented way without a long-term vision or uniformed standards. There is an opportunity to learn from the experiences gained by this pandemic to help shape a better health-care system that standardizes telemedicine to optimize the overall efficiency of remote health-care delivery. This collaboration focuses on four pillars of telemedicine that will serve as a framework to enable a uniformed, standardized process that allows for remote data capture and quality, aiming to improve ongoing management outside the hospital. In this collaboration, we recommend learning from this experience by proposing a telemedicine framework built on the following four pillars-patient safety and confidentiality; metrics, analytics, and reform; recording of audio-visual data as a health record; and reimbursement and accountability.
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