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Tahernejad A, Sahebi A, Abadi ASS, Safari M. Application of artificial intelligence in triage in emergencies and disasters: a systematic review. BMC Public Health 2024; 24:3203. [PMID: 39558305 PMCID: PMC11575424 DOI: 10.1186/s12889-024-20447-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Accepted: 10/17/2024] [Indexed: 11/20/2024] Open
Abstract
INTRODUCTION AND OBJECTIVE Modern and intelligent triage systems are used today due to the growing trend of disasters and emergencies worldwide and the increase in the number of injured people facing the challenge of using traditional triage methods. The main objective of this study is to investigate the application of artificial intelligence and Technology in the triage of patients injured by disasters and emergencies and the challenges of the implementation of intelligent triage systems. METHOD The present study is a systematic review and follows PRISMA guidelines. The protocol of this study was registered in PROSPERO with the code CRD42023471415. To find relevant studies, the databases PubMed, Scopus and Web of Science (ISI) were searched without a time limit until September 2024. The scientific search engine Google Scholar and the references of the final articles were read manually for the final review. RESULTS The search identified 2,630 articles, narrowing down to 19 high-quality studies on AI in triage, which improved patient care through optimized resource management and real-time data transmission. AI algorithms like OpenPose and YOLO enhanced efficiency in mass casualty incidents, while e-triage systems allowed for continuous vital sign monitoring and faster triaging. AI tools demonstrated high accuracy in diagnosing COVID-19 (94.57%). Implementing intelligent triage systems faced challenges such as trust issues, training needs, equipment shortages, and data privacy concerns. CONCLUSION Developing assessment systems using artificial intelligence enables timely treatment and better resuscitation services for people injured in disasters. For future studies, we recommend designing intelligent triage systems to remove the obstacles in triaging children and disabled people in disasters.
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Affiliation(s)
- Azadeh Tahernejad
- Department of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, 1983535511, Iran
| | - Ali Sahebi
- Department of Prehospital Medical Emergencies and Health in Disaster and Emergencies, School of Allied Medical Sciences, Ilam University of Medical Sciences, Ilam, Iran
| | - Ali Salehi Sahl Abadi
- Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Safety Promotion and Injury Prevention Research Center, Research Institute for Health Sciences and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Safari
- Department of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, 1983535511, Iran.
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Yang F, Zhang X, Zhang Z, Lu H, Li J, Bai N, Geng N. Efficacy and safety of Qi and Blood Tonic Chinese Medicines in the treatment of COVID-19: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2022; 101:e32136. [PMID: 36626419 PMCID: PMC9750632 DOI: 10.1097/md.0000000000032136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 11/10/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Coronavirus disease in 2019 (COVID-19) is a sudden public event affecting all human beings, with the rapid transmission, extensive groups affected, many complications, and high mortality. Traditional Chinese Medicine has a long history of preventing and treating infectious diseases, and numerous studies have shown that Traditional Chinese Medicine, especially herbal medicine, has a positive effect on the prevention, treatment, and post-healing recovery of this COVID-19, and herbal medicines to supplement qi and blood often occupy a certain proportion of it. However, there is no relevant meta-analysis to date. Therefore, this study aims to evaluate the efficacy and safety of qi and blood tonic herbal medicines in the treatment of COVID-19 through Systematic Review and meta-analysis to provide a reference basis for widespread clinical application. METHODS We will search from the following databases for the period from the time of database construction to March 1st, 2023. The English databases include: PubMed, MEDLINE, EMBASE, Cochrane library, WOS, Google Scholar, and CENTRAL; The Chinese databases include: China National Knowledge Infrastructure, China Biomedical Literature Database, Technology Journal Database, and Wanfang. Randomized controlled trials in English or Chinese that include Chinese herbal medicines for tonifying Qi and Blood in the treatment of patients with COVID-19 will be included. Data were independently screened and collected by 2 investigators. The risk of bias for each trial was assessed using the Cochrane Risk of Bias Tool 2.0. RevMan 5.3 software was used for the meta-analysis of the data. Primary outcome indicators included cure, mortality, and exacerbation rates (change in disease severity category, patient admission to ICU, etc.). Secondary outcome indicators included recovery rate or duration of major symptoms (e.g., fever, cough, fatigue, and weakness, etc.), rate or duration of nucleic acid conversion for severe acute respiratory syndrome coronavirus-2, improvement or recovery of chest CT performance, length of hospital stay, and other adverse events. RESULTS This protocol adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-P guidelines to ensure clarity and completeness of reporting in all phases of the systematic review. CONCLUSION This study will provide evidence regarding the efficacy and safety of Qi and Blood Tonic Chinese Medicines for the treatment of COVID-19. PROSPERO REGISTRATION NUMBER CRD42022361822 (https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022361822).
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Affiliation(s)
- Feifei Yang
- Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Xiaosi Zhang
- Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Zhe Zhang
- Department of Traditional Chinese Medicine, affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Hao Lu
- Tianshui Hospital of Traditional Chinese Medicine, Tianshui, China
| | - Jiawei Li
- Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Ning Bai
- Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Naizhi Geng
- First Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
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Zhang Z, Ren JG, Guo JL, An L, Li S, Zhang ZC, Chen Y, Liu H, Lei X. Effects of tai chi and qigong on rehabilitation after COVID-19: a protocol for systematic review and meta-analysis. BMJ Open 2022; 12:e059067. [PMID: 35338068 PMCID: PMC8960464 DOI: 10.1136/bmjopen-2021-059067] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION COVID-19 is a public health emergency of international concern, which is characterised by rapid and widespread transmission, high mortality and complications. Several studies have shown the benefits of tai chi and qigong for recovery after COVID-19; however, no meta-analysis has been reported. Therefore, the purpose of this study is to evaluate the efficacy and safety of tai chi and/or qigong on rehabilitation after COVID-19 through a systematic review and meta-analysis to provide a reference and basis for clinical application. METHODS AND ANALYSIS This study will use the Cochrane Library, PubMed, Web of Science, Embase, China Knowledge Network, China Biomedical Literature Database, Chinese Scientific Journal Database and Wanfang Database. The time period is from the inception of the database to November 2021, with no language restrictions. Searches will be conducted using the subject terms "Taichi","Qigong" and "COVID-19" plus free-text words. Articles will be screened and collected by two reviewers independently. Included studies will be assessed for quality using the Cochrane Risk of Bias Assessment Tool. Statistical analyses will be performed using the Revman V.5.3 software. The primary outcomes include 1-second forced expiratory volume and 1-second forced vital capacity, oxygen saturation, total white cell count and quality of life score. Secondary outcomes include time to remission of major symptoms, incidence of adverse events, clinical cure rate and mortality. Subgroup and sensitivity analyses will also be used to explore and interpret the heterogeneity. This protocol is written based on the guideline of the Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocol. ETHICS AND DISSEMINATION Ethical approval and consent are unnecessary because no primary data will be collected. The results will be disseminated through peer-reviewed publications. PROSPERO REGISTRATION NUMBER CRD42021288962.
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Affiliation(s)
- Zhe Zhang
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - J G Ren
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - J L Guo
- Department of Clinical Medicine of Traditional Chinese and Western Medicine, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Lin An
- Department of Clinical Medicine of Traditional Chinese and Western Medicine, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Shuang Li
- Department of Clinical Medicine of Traditional Chinese and Western Medicine, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Z C Zhang
- Department of Clinical Medicine of Traditional Chinese and Western Medicine, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Yan Chen
- Department of Clinical Medicine of Traditional Chinese and Western Medicine, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Hui Liu
- Department of Clinical Medicine of Traditional Chinese and Western Medicine, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Xiao Lei
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
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Hsu JY, Liu PY, Tseng CH, Liu CW, Yang WT, Huang WH, Li SY, Liao YC, Wu MJ. COVID-19 Screening for Hospitalized Patients: The Role of Expanded Hospital Surveillance in a Low Prevalence Setting. J Multidiscip Healthc 2021; 14:3027-3034. [PMID: 34737574 PMCID: PMC8558039 DOI: 10.2147/jmdh.s337258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/11/2021] [Indexed: 12/28/2022] Open
Abstract
Purpose The COVID-19 pandemic poses a serious threat to healthcare workers and hospitalized patients. Early detection of COVID-19 cases is essential to control the spread in healthcare facilities. However, real-world data on the screening criteria for hospitalized patients remain scarce. We aimed to explore whether patients with negative results of pre-hospital screening for COVID-19 should be rescreened after admission in a low-prevalence (less than 3% of the world average) setting. Patients and Methods We retrospectively included patients in central Taiwan who were negative at the first screening but were newly diagnosed with pneumonia or had a body temperature above 38 degrees Celsius during their hospitalization. Each patient might be included as an eligible case several times, and the proportions of cases who were rescreened for COVID-19 and those diagnosed with COVID-19 were calculated. A logistic regression model was constructed to identify factors associated with rescreening. Reverse transcription-polymerase chain reaction tests were used to confirm the diagnosis of COVID-19. Results A total of 3549 cases eligible for COVID-19 rescreening were included. There were 242 cases (6.8%) who received rescreening. In the multivariable analysis, cases aged 75 years or older, those with potential exposure to SARS-CoV-2, or patients visiting specific departments, such as the Cardiovascular Center and Department of Neurology, were more likely to be rescreened. None was diagnosed with COVID-19 after rescreening. There was no known cluster infection outbreak in the hospital or in the local community during the study period and in the following two months. Conclusion In Taiwan, a country with a low COVID-19 prevalence, it was deemed safe to rescreen only high-risk hospitalized patients. This strategy was effective and reduced unnecessary costs.
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Affiliation(s)
- Jen-Yu Hsu
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Po-Yu Liu
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Chien-Hao Tseng
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Chia-Wei Liu
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Wan-Ting Yang
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Wei-Hsuan Huang
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Shu-Yuan Li
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Ya-Chun Liao
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Ming-Ju Wu
- Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407, Taiwan & College of Medicine, National Chung Hsing University, Taichung, 402, Taiwan
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Anschau F, Worm PV, Kopittke L, de Mello Villwock LH, Lemos Sartori ML, Cardoso do Rosário J, Secorun Inácio JF, Much MD, Marckmann E, Pinheiro S, Nickenig Vissoci JR, de Lara Machado W, Costa DB, Klug D, Martin Prestes J, Hessel F. Smart Check - COVID-19 triage system: Evaluation of the impact on the screening time and identification of clinical manifestations of SARS-CoV-2 infection in a public health service. Int J Clin Pract 2021; 75:e14610. [PMID: 34235816 PMCID: PMC8420522 DOI: 10.1111/ijcp.14610] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/06/2021] [Accepted: 07/06/2021] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Most patients with COVID-19 have mild or moderate manifestations; however, there is a wide spectrum of clinical presentations and even more severe repercussions that require high diagnostic suspicion. Vital sign acquisition and monitoring are crucial for detecting and responding to patients with COVID-19. OBJECTIVE Thus, we conducted this study to demonstrate the impact of using a tool called Smart Check on the triage time of patients with suspected COVID-19 and to identify the main initial clinical manifestations in these patients. METHODOLOGY We assessed triage times before and after the use of Smart Check in 11 466 patients at Hospital Nossa Senhora da Conceição in Porto Alegre, Brazil, from 1 June to 31 July 2020. In this group, we identified 220 patients for the identification of COVID-19 clinical manifestations in a case-control analysis. RESULTS Smart Check was able to decrease the triage time by 33 seconds on average (P < .001), with 75% of the exams being performed within 5 minutes, whereas with the usual protocol these steps were performed within 6 minutes. A range of clinical presentations made up the COVID-19 initial manifestations. Those with the highest frequency were dry cough (46.4%), fever (41.3%), dyspnoea (35.8%), and headache (31.8%). Loss of appetite was the manifestation that had a statistically significant association with the SARS-CoV-2 presence (univariate analysis). When analysed together, loss of appetite associated with dyspnoea and/or ageusia and/or fever was related to the diagnosis of COVID-19. CONCLUSIONS Smart Check, a simple clinical evaluation tool, along with the targeted use of rapid PCR testing, can optimise triage time for patients with and without COVID-19. In triage centres, a number of initial signs and symptoms should be cause for SARS-CoV-2 infection suspicion, in particular the association of respiratory, neurological, and gastrointestinal manifestations.
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Affiliation(s)
- Fernando Anschau
- Grupo Hospitalar ConceiçãoPorto AlegreBrazil
- Pontifícia Universidade Católica do Rio Grande do SulPorto AlegreBrazil
| | | | | | | | | | | | | | - Maicon Diogo Much
- Tecnopuc—Toth LifecarePontifícia Universidade Católica do Rio Grande do SulPorto AlegreBrazil
| | - Eduardo Marckmann
- Tecnopuc—Toth LifecarePontifícia Universidade Católica do Rio Grande do SulPorto AlegreBrazil
| | - Sandro Pinheiro
- Tecnopuc—Toth LifecarePontifícia Universidade Católica do Rio Grande do SulPorto AlegreBrazil
| | | | | | | | - Daniel Klug
- Grupo Hospitalar ConceiçãoPorto AlegreBrazil
| | | | - Fabiano Hessel
- Pontifícia Universidade Católica do Rio Grande do SulPorto AlegreBrazil
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