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10.1016/j.jbi.2021.103685 http://scihub22266oqcxt.onion/10.1016/j.jbi.2021.103685 33486066!9387176!33486066     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33486066&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       J+Biomed+Inform 2021 ; 115 (?): 103685 Nephropedia Template TP {{tp|p=33486066|t=2021. Making science computable: Developing code systems for statistics, study design, and risk of bias |pdf=|usr=}}{{33486066}} gab.com Text Making science computable: Developing code systems for statistics, study design, and risk of bias JO: J Biomed Inform http://www.kidney.de/pget.php?&tw=1&pmid=33486066 #FOAvip The COVID-19 crisis led a group of scientific and informatics experts to accelerate development of an infrastructure for electronic data exchange for the identification, processing, and reporting of scientific findings. The Fast Healthcare Interoperability Resources (FHIR(R)) standard which is overcoming the interoperability problems in health information exchange was extended to evidence-based medicine (EBM) knowledge with the EBMonFHIR project. A 13-step Code System Development Protocol was created in September 2020 to support global development of terminologies for exchange of scientific evidence. For Step 1, we assembled expert working groups with 55 people from 26 countries by October 2020. For Step 2, we identified 23 commonly used tools and systems for which the first version of code systems will be developed. For Step 3, a total of 368 non-redundant concepts were drafted to become display terms for four code systems (Statistic Type, Statistic Model, Study Design, Risk of Bias). Steps 4 through 13 will guide ongoing development and maintenance of these terminologies for scientific exchange. When completed, the code systems will facilitate identifying, processing, and reporting research results and the reliability of those results. More efficient and detailed scientific communication will reduce cost and burden and improve health outcomes, quality of life, and patient, caregiver, and healthcare professional satisfaction. We hope the achievements reached thus far will outlive COVID-19 and provide an infrastructure to make science computable for future generations. Anyone may join the effort at https://www.gps.health/covid19_knowledge_accelerator.html. Twit Text FOAVip Making science computable: Developing code systems for statistics, study design, and risk of bias ????J Biomed Inform http://www.kidney.de/pget.php?&tw=1&pmid=33486066 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33486066 #FOAvip English Wikipedia <ref>{{Cite pmid|33486066}}</ref> Making science computable: Developing code systems for statistics, study design, and risk of bias #MMPMID33486066 Alper BS; Dehnbostel J; Afzal M; Subbian V; Soares A; Kunnamo I; Shahin K; McClure RC J Biomed Inform 2021[Mar]; 115 (?): 103685 PMID33486066show ga The COVID-19 crisis led a group of scientific and informatics experts to accelerate development of an infrastructure for electronic data exchange for the identification, processing, and reporting of scientific findings. The Fast Healthcare Interoperability Resources (FHIR(R)) standard which is overcoming the interoperability problems in health information exchange was extended to evidence-based medicine (EBM) knowledge with the EBMonFHIR project. A 13-step Code System Development Protocol was created in September 2020 to support global development of terminologies for exchange of scientific evidence. For Step 1, we assembled expert working groups with 55 people from 26 countries by October 2020. For Step 2, we identified 23 commonly used tools and systems for which the first version of code systems will be developed. For Step 3, a total of 368 non-redundant concepts were drafted to become display terms for four code systems (Statistic Type, Statistic Model, Study Design, Risk of Bias). Steps 4 through 13 will guide ongoing development and maintenance of these terminologies for scientific exchange. When completed, the code systems will facilitate identifying, processing, and reporting research results and the reliability of those results. More efficient and detailed scientific communication will reduce cost and burden and improve health outcomes, quality of life, and patient, caregiver, and healthcare professional satisfaction. We hope the achievements reached thus far will outlive COVID-19 and provide an infrastructure to make science computable for future generations. Anyone may join the effort at https://www.gps.health/covid19_knowledge_accelerator.html. |*Bias[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |COVID-19/epidemiology/virology[MESH] |Communication[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Reproducibility of Results[MESH] |SARS-CoV-2/isolation & purification[MESH]Making science computable: Developing code systems for statistics, stu(epmc).pdf DeepDyve Pubget Overpricing