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10.1093/jalm/jfaa231 http://scihub22266oqcxt.onion/10.1093/jalm/jfaa231 33463684!7798967!33463684     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Appl+Lab+Med 2021 ; 6 (2): 451-462 Nephropedia Template TP {{tp|p=33463684|t=2021. COVID-19 Pandemic Planning: Simulation Models to Predict Biochemistry Test Capacity for Patient Surges |pdf=|usr=}}{{33463684}} gab.com Text COVID-19 Pandemic Planning: Simulation Models to Predict Biochemistry Test Capacity for Patient Surges JO: J Appl Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=33463684 #FOAvip BACKGROUND: Patient surges beyond hospital capacity during the initial phase of the COVID-19 pandemic emphasized a need for clinical laboratories to prepare test processes to support future patient care. The objective of this study was to determine if current instrumentation in local hospital laboratories can accommodate the anticipated workload from COVID-19 infected patients in hospitals and a proposed field hospital in addition to testing for non-infected patients. METHODS: Simulation models predicted instrument throughput and turn-around-time for chemistry, ion-selective-electrode, and immunoassay tests using vendor-developed software with different workload scenarios. The expanded workload included tests from anticipated COVID patients in 2 local hospitals and a proposed field hospital with a COVID-specific test menu in addition to the pre-pandemic workload. RESULTS: Instrumentation throughput and turn-around time at each site was predicted. With additional COVID-patient beds in each hospital, the maximum throughput was approached with no impact on turnaround time. Addition of the field hospital workload led to significantly increased test turnaround times at each site. CONCLUSIONS: Simulation models depicted the analytic capacity and turn-around times for laboratory tests at each site and identified the laboratory best suited for field hospital laboratory support during the pandemic. Twit Text FOAVip COVID-19 Pandemic Planning: Simulation Models to Predict Biochemistry Test Capacity for Patient Surges ????J Appl Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=33463684 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33463684 #FOAvip English Wikipedia <ref>{{Cite pmid|33463684}}</ref> COVID-19 Pandemic Planning: Simulation Models to Predict Biochemistry Test Capacity for Patient Surges #MMPMID33463684 Lyon ME; Bajkov A; Haugrud D; Kyle BD; Wu F; Lyon AW J Appl Lab Med 2021[Mar]; 6 (2): 451-462 PMID33463684show ga BACKGROUND: Patient surges beyond hospital capacity during the initial phase of the COVID-19 pandemic emphasized a need for clinical laboratories to prepare test processes to support future patient care. The objective of this study was to determine if current instrumentation in local hospital laboratories can accommodate the anticipated workload from COVID-19 infected patients in hospitals and a proposed field hospital in addition to testing for non-infected patients. METHODS: Simulation models predicted instrument throughput and turn-around-time for chemistry, ion-selective-electrode, and immunoassay tests using vendor-developed software with different workload scenarios. The expanded workload included tests from anticipated COVID patients in 2 local hospitals and a proposed field hospital with a COVID-specific test menu in addition to the pre-pandemic workload. RESULTS: Instrumentation throughput and turn-around time at each site was predicted. With additional COVID-patient beds in each hospital, the maximum throughput was approached with no impact on turnaround time. Addition of the field hospital workload led to significantly increased test turnaround times at each site. CONCLUSIONS: Simulation models depicted the analytic capacity and turn-around times for laboratory tests at each site and identified the laboratory best suited for field hospital laboratory support during the pandemic. |COVID-19 Testing/*instrumentation/statistics & numerical data/trends[MESH] |COVID-19/*diagnosis/epidemiology/virology[MESH] |Clinical Laboratory Services/organization & administration/statistics & numerical data[MESH] |Computer Simulation[MESH] |Datasets as Topic[MESH] |Forecasting/methods[MESH] |Health Care Rationing/*methods/statistics & numerical data[MESH] |Health Planning Technical Assistance[MESH] |Hospital Bed Capacity/statistics & numerical data[MESH] |Humans[MESH] |Intensive Care Units/organization & administration/statistics & numerical data/trends[MESH] |Laboratories, Hospital/*organization & administration/supply & distribution/trends[MESH] |Models, Statistical[MESH] |Pandemics/*statistics & numerical data[MESH] |Reagent Kits, Diagnostic/supply & distribution/trends[MESH] |SARS-CoV-2/isolation & purification[MESH] |Saskatchewan/epidemiology[MESH] |Software[MESH] |Time Factors[MESH]COVID-19 Pandemic Planning: Simulation Models to Predict Biochemistry (epmc).pdf DeepDyve Pubget Overpricing