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10.3233/SHTI210226 http://scihub22266oqcxt.onion/10.3233/SHTI210226 34042631!ä!34042631 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stud+Health+Technol+Inform 2021 ; 281 (ä): 525-529 Nephropedia Template TP {{tp|p=34042631|t=2021. A COVID-19 Decision Support System for Phone Call Triage, Designed by and for Medical Students |pdf=|usr=}}{{34042631}} gab.com Text A COVID-19 Decision Support System for Phone Call Triage, Designed by and for Medical Students JO: Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042631 #FOAvip During spring 2020, SARS-CoV-2 pandemic induced shortage of medical equipment, hospital capacity and staff. To tackle this issue, medical students have been strongly involved in early patient triage through medical phone call regulation. Here, we present an intelligent web-based decision support system for COVID-19 phone call regulation, developed by and for, medical students to help them during this difficult but crucial task. The system is divided into 5 tabs. The first tab displays administrative information, clinical data related to life-threatening emergency, and personalized recommendations for patient management. The second tab displays a PDF report summarizing the clinical situation; the third tab displays the guidelines used for establishing the recommendations, and the fourth tab displays the overall algorithm in the form of a decision tree. The fifth tab provided a short user guide. The system was assessed by 21 medical staff. More than 90% of them appreciated the navigation and the interface, and found the content relevant. 90,5% of them would like to use it during the medical regulation. In the future, we plan to use this system during simulation-based medical learning for the initial medical training of medical students. Twit Text FOAVip A COVID-19 Decision Support System for Phone Call Triage, Designed by and for Medical Students ????Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042631 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34042631 #FOAvip English Wikipedia <ref>{{Cite pmid|34042631}}</ref> A COVID-19 Decision Support System for Phone Call Triage, Designed by and for Medical Students #MMPMID34042631 Vrel JP; Oulmane S; Boukobza A; Burgun A; Tsopra R Stud Health Technol Inform 2021[May]; 281 (ä): 525-529 PMID34042631show ga During spring 2020, SARS-CoV-2 pandemic induced shortage of medical equipment, hospital capacity and staff. To tackle this issue, medical students have been strongly involved in early patient triage through medical phone call regulation. Here, we present an intelligent web-based decision support system for COVID-19 phone call regulation, developed by and for, medical students to help them during this difficult but crucial task. The system is divided into 5 tabs. The first tab displays administrative information, clinical data related to life-threatening emergency, and personalized recommendations for patient management. The second tab displays a PDF report summarizing the clinical situation; the third tab displays the guidelines used for establishing the recommendations, and the fourth tab displays the overall algorithm in the form of a decision tree. The fifth tab provided a short user guide. The system was assessed by 21 medical staff. More than 90% of them appreciated the navigation and the interface, and found the content relevant. 90,5% of them would like to use it during the medical regulation. In the future, we plan to use this system during simulation-based medical learning for the initial medical training of medical students. |*COVID-19[MESH] |*Students, Medical[MESH] |Humans[MESH] |Pandemics[MESH] |SARS-CoV-2[MESH]A COVID-19 Decision Support System for Phone Call Triage, Designed by (epmc).pdf DeepDyve Pubget Overpricing