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10.1093/jamia/ocaa145 http://scihub22266oqcxt.onion/10.1093/jamia/ocaa145 32569358!7337837!32569358     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Am+Med+Inform+Assoc 2020 ; 27 (9): 1437-1442 Nephropedia Template TP {{tp|p=32569358|t=2020. COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes |pdf=|usr=}}{{32569358}} gab.com Text COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes JO: J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=32569358 #FOAvip Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions. In this study, we addressed the challenge of automating the normalization of COVID-19 diagnostic tests, which are critical data elements, but for which controlled terminology terms were published after clinical implementation. We developed a simple but effective rule-based tool called COVID-19 TestNorm to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) codes. COVID-19 TestNorm was developed and evaluated using 568 test names collected from 8 healthcare systems. Our results show that it could achieve an accuracy of 97.4% on an independent test set. COVID-19 TestNorm is available as an open-source package for developers and as an online Web application for end users (https://clamp.uth.edu/covid/loinc.php). We believe that it will be a useful tool to support secondary use of EHRs for research on COVID-19. Twit Text FOAVip COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes ????J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=32569358 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32569358 #FOAvip English Wikipedia <ref>{{Cite pmid|32569358}}</ref> COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes #MMPMID32569358 Dong X; Li J; Soysal E; Bian J; DuVall SL; Hanchrow E; Liu H; Lynch KE; Matheny M; Natarajan K; Ohno-Machado L; Pakhomov S; Reeves RM; Sitapati AM; Abhyankar S; Cullen T; Deckard J; Jiang X; Murphy R; Xu H J Am Med Inform Assoc 2020[Jul]; 27 (9): 1437-1442 PMID32569358show ga Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions. In this study, we addressed the challenge of automating the normalization of COVID-19 diagnostic tests, which are critical data elements, but for which controlled terminology terms were published after clinical implementation. We developed a simple but effective rule-based tool called COVID-19 TestNorm to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) codes. COVID-19 TestNorm was developed and evaluated using 568 test names collected from 8 healthcare systems. Our results show that it could achieve an accuracy of 97.4% on an independent test set. COVID-19 TestNorm is available as an open-source package for developers and as an online Web application for end users (https://clamp.uth.edu/covid/loinc.php). We believe that it will be a useful tool to support secondary use of EHRs for research on COVID-19. |*Betacoronavirus[MESH] |*Logical Observation Identifiers Names and Codes[MESH] |*Terminology as Topic[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques/*classification[MESH] |Coronavirus Infections/classification/*diagnosis[MESH] |Electronic Health Records[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis[MESH]COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC(epmc).pdf DeepDyve Pubget Overpricing