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Optimizing an Emergency Medical Dispatch System to Improve Prehospital Diagnosis and Treatment of Acute Coronary Syndrome: Nationwide Retrospective Study in China.

• Authors : Dong X; Department of Global Health, School of Public Health, Peking University, Beijing, China.; Institute for Global Health and Development, Peking University, Beijing, China.

Subjects: Emergency Medical Dispatch* ; Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/diagnosis ; Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/therapy

• Source: Journal of medical Internet research [J Med Internet Res] 2022 Nov 23; Vol. 24 (11), pp. e36929. Date of Electronic Publication: 2022 Nov 23.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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Machine Learning-Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation.

• Authors : Chin KC; Department of Emergency Medicine, Taipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan.; Cheng YC

Subjects: Emergency Medical Dispatch* ; Emergency Medical Services*/Emergency Medical Services*/Emergency Medical Services*/methods; Bayes Theorem

• Source: Journal of medical Internet research [J Med Internet Res] 2022 Jun 10; Vol. 24 (6), pp. e30210. Date of Electronic Publication: 2022 Jun 10.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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Tele-Instruction Tool for Multiple Lay Responders Providing Cardiopulmonary Resuscitation in Telehealth Emergency Dispatch Services: Mixed Methods Study

• Authors : Jianing Xu; Mingyu Qu; Xuejie Dong

Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Public aspects of medicine

• Source: Journal of Medical Internet Research, Vol 25, p e46092 (2023)

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Tele-Instruction Tool for Multiple Lay Responders Providing Cardiopulmonary Resuscitation in Telehealth Emergency Dispatch Services: Mixed Methods Study.

• Authors : Xu, Jianing¹ (AUTHOR); Qu, Mingyu² (AUTHOR); Dong, Xuejie³ (AUTHOR)

• Source: Journal of Medical Internet Research. 2023, Vol. 25 Issue 1, p1-14. 14p.

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Optimizing an Emergency Medical Dispatch System to Improve Prehospital Diagnosis and Treatment of Acute Coronary Syndrome: Nationwide Retrospective Study in China

• Authors : Xuejie Dong; Fang Ding; Shuduo Zhou

Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Public aspects of medicine

• Source: Journal of Medical Internet Research, Vol 24, Iss 11, p e36929 (2022)

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Machine Learning–Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation

• Authors : Kuan-Chen Chin; Yu-Chia Cheng; Jen-Tang Sun

Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Public aspects of medicine

• Source: Journal of Medical Internet Research, Vol 24, Iss 6, p e30210 (2022)

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Hacking 9-1-1: Infrastructure Vulnerabilities and Attack Vectors.

• Authors : Goebel, Mat¹; Dameff, Christian²; Tully, Jeffrey³

• Source: Journal of Medical Internet Research. Jul2019, Vol. 21 Issue 7, pN.PAG-N.PAG. 1p. 1 Chart.

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Differences in Basic Life Support Knowledge Between Junior Medical Students and Lay People: Web-Based Questionnaire Study.

• Authors : Sturny, Ludovic¹ (AUTHOR); Regard, Simon¹ (AUTHOR); Larribau, Robert¹ (AUTHOR)

• Source: Journal of Medical Internet Research. Feb2021, Vol. 23 Issue 2, pN.PAG-N.PAG. 1p. 3 Charts.

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Paper- or Web-Based Questionnaire Invitations as a Method for Data Collection: Cross-Sectional Comparative Study of Differences in Response Rate, Completeness of Data, and Financial Cost.

• Authors : Ebert, Jonas Fynboe¹ ; Huibers, Linda¹; Christensen, Bo²

• Source: Journal of Medical Internet Research. Jan2018, Vol. 20 Issue 1, p21-21. 1p. 2 Diagrams, 4 Charts.

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