AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Practice and Policy | Open Access

Diagnosis and treatment protocol for COVID‐19 patients (Trial Version 9)

Abstract

To further improve the diagnosis and treatment of COVID‐19, China National Health Commission and the National Administration of Traditional Chinese Medicine convened a group of experts to revise the relevant content of the Diagnosis and Treatment Protocol for COVID‐19 Patients (Trial Version 8) and developed the Diagnosis and Treatment Protocol for COVID‐19 Patients (Trial Version 9), summarizing the etiological characteristics, epidemiological characteristics, pathological changes, clinical features, diagnosis, clinical classification, population with high risk of severe/critical illnesses, early warning predictors for severe/critical illnesses, differential diagnosis, case identification and reporting, treatment, nursing, discharge criteria and precautions after discharge, patient transfer, control of nosocomial infection in medical institutions, and disease prevention.

References

【1】
【1】
 
 
Health Care Science
Pages 14-28

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Diagnosis and treatment protocol for COVID‐19 patients (Trial Version 9). Health Care Science, 2022, 1(1): 14-28. https://doi.org/10.1002/hcs2.1

2235

Views

175

Downloads

40

Crossref

34

Web of Science

37

Scopus

Received: 10 April 2022
Accepted: 04 May 2022
Published: 12 July 2022
© 2022 The Authors.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.