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10.1055/s-0041-1728770 http://scihub22266oqcxt.onion/10.1055/s-0041-1728770 34010976!8133837!34010976     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Appl+Clin+Inform 2021 ; 12 (2): 399-406 Nephropedia Template TP {{tp|p=34010976|t=2021. Health Information System s Responses to COVID-19 Pandemic in China: A National Cross-sectional Study |pdf=|usr=}}{{34010976}} gab.com Text Health Information System s Responses to COVID-19 Pandemic in China: A National Cross-sectional Study JO: Appl Clin Inform http://www.kidney.de/pget.php?&tw=1&pmid=34010976 #FOAvip OBJECTIVE: After the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, Chinese hospitals and health information technology (HIT) vendors collaborated to provide comprehensive information technology support for pandemic prevention and control. This study aims to describe the responses from the health information systems (HIS) to the COVID-19 pandemic and provide empirical evidence in the application of emerging health technologies in China. METHODS: This observational descriptive study utilized a nationally representative, cross-sectional survey of hospitals in China (N = 1,014) from 30 provincial administrative regions across the country. Participants include hospital managers, hospital information workers, and health care providers. RESULTS: Among all the responses, the most popular interventions and applications include expert question-and-answer sessions and science popularization (61.74%) in online medical consultation, online appointment registration (58.97%) in online medical service, and remote consultation (75.15%) in telehealth service. A total of 63.71% of the participating hospitals expanded their fever clinics during the pandemic, 15.38% hospitals used new or upgraded mobile ward rounds systems, and 44.68% hospitals applied online self-service systems. Challenges and barriers include protecting network information security (57.00%) since some hospitals experienced cybersecurity incidents. 71.79% participants hope to shorten wait time and optimize the treatment process. Health care workers experienced increased amount of work during the pandemic, while hospital information departments did not experience significant changes in their workload. CONCLUSION: In the process of fighting against the COVID-19, hospitals have widely used traditional and emerging novel HITs. These technologies have strengthened the capacity of prevention and control of the pandemic and provided comprehensive information technology support while also improving accessibility and efficiency of health care delivery. Twit Text FOAVip Health Information System s Responses to COVID-19 Pandemic in China: A National Cross-sectional Study ????Appl Clin Inform http://www.kidney.de/pget.php?&tw=1&pmid=34010976 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34010976 #FOAvip English Wikipedia <ref>{{Cite pmid|34010976}}</ref> Health Information System s Responses to COVID-19 Pandemic in China: A National Cross-sectional Study #MMPMID34010976 Ye J Appl Clin Inform 2021[Mar]; 12 (2): 399-406 PMID34010976show ga OBJECTIVE: After the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, Chinese hospitals and health information technology (HIT) vendors collaborated to provide comprehensive information technology support for pandemic prevention and control. This study aims to describe the responses from the health information systems (HIS) to the COVID-19 pandemic and provide empirical evidence in the application of emerging health technologies in China. METHODS: This observational descriptive study utilized a nationally representative, cross-sectional survey of hospitals in China (N = 1,014) from 30 provincial administrative regions across the country. Participants include hospital managers, hospital information workers, and health care providers. RESULTS: Among all the responses, the most popular interventions and applications include expert question-and-answer sessions and science popularization (61.74%) in online medical consultation, online appointment registration (58.97%) in online medical service, and remote consultation (75.15%) in telehealth service. A total of 63.71% of the participating hospitals expanded their fever clinics during the pandemic, 15.38% hospitals used new or upgraded mobile ward rounds systems, and 44.68% hospitals applied online self-service systems. Challenges and barriers include protecting network information security (57.00%) since some hospitals experienced cybersecurity incidents. 71.79% participants hope to shorten wait time and optimize the treatment process. Health care workers experienced increased amount of work during the pandemic, while hospital information departments did not experience significant changes in their workload. CONCLUSION: In the process of fighting against the COVID-19, hospitals have widely used traditional and emerging novel HITs. These technologies have strengthened the capacity of prevention and control of the pandemic and provided comprehensive information technology support while also improving accessibility and efficiency of health care delivery. |*Health Information Systems/trends[MESH] |*Pandemics/prevention & control[MESH] |*SARS-CoV-2[MESH] |COVID-19/*epidemiology/prevention & control[MESH] |China/epidemiology[MESH] |Computer Security[MESH] |Cross-Sectional Studies[MESH] |Delivery of Health Care[MESH] |Hospital Information Systems/trends[MESH] |Hospitals/classification[MESH] |Humans[MESH] |Remote Consultation[MESH] |Surveys and Questionnaires[MESH]Health Information System s Responses to COVID-19 Pandemic in China: A(epmc).pdf DeepDyve Pubget Overpricing