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1000
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Abstract/Summary
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Background!#!With the regulation of the Saxon State Government and the Saxon State Ministry for Social Affairs and Social Responsibility on the modification of the Infection Protection Act of March 2020 coming into force, a video-based outpatient consultation was implemented to maintain patient care. In order to allow communication with minimized contact, this was continued after the lockdown.!##!Aim of the work!#!The aim of this prospective pilot study was to assess the effectiveness of a video-based outpatient consultation service, technical feasibility and control of patient flow under both lockdown and post-lockdown conditions.!##!Material and methods!#!The initial evaluation was conducted up to 14 December 2020 when the second restrictive measures were implemented by the state government. The quality of the connections regarding sound and image was documented. Furthermore, the consequences of the conversations were documented. Distinctions were made in four categories: 1. no follow-up visit, 2. follow-up via video consultation, 3. operative intervention and 4. in-person follow-up visit for clinical examination.!##!Results!#!There were 236 video-based outpatient consultations, 182 (82%) consultations were without restrictions and 47 (21%) consultations were initial presentations. There were no follow-up consultations in 41 (18%) patients. Video-based follow-up was scheduled in 36 (16%) patients, direct referral for surgery in 36 (16%) patients, and in-person follow-up in 105 (47%) patients.!##!Discussion!#!In 40% of the patients a definite decision could be made by the initial video-based consultation alone. On the other hand, 47% of the patients needed in-person follow-up for a clinical examination. Thus, video consultation is a very useful measure to manage patient volume and visibly support direct doctor-patient contact.
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1000
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Hinweis
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DeepGreen-ID: 6dcf0167b7134747ab0093f42ccd5bbe ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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