Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.mayocpiqo.2020.12.004 http://scihub22266oqcxt.onion/10.1016/j.mayocpiqo.2020.12.004 33521582!7831529!33521582     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Mayo+Clin+Proc+Innov+Qual+Outcomes 2021 ; 5 (1): 109-117 Nephropedia Template TP {{tp|p=33521582|t=2021. Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019 |pdf=|usr=}}{{33521582}} gab.com Text Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019 JO: Mayo Clin Proc Innov Qual Outcomes http://www.kidney.de/pget.php?&tw=1&pmid=33521582 #FOAvip OBJECTIVE: To describe the design, implementation, and utilization of electronic health record (EHR)-based digital health surveillance strategies used to manage the coronavirus disease 2019 (COVID-19) pandemic and to ensure delivery of high-quality clinical care, such as case identification, remote monitoring, telemedicine services, and recruitment to clinical trials at Mayo Clinic. METHODS: The design and implementation work described in this report was performed at Mayo Clinic, a large multistate integrated health care system with more than 1.5 million annual patient visits that uses the Epic EHR system. Rule-based live registries were designed in the EHR system to classify patients who currently test positive for COVID-19, patients who test positive but have recovered from COVID-19, patients who are thought to have COVID-19 but do not yet meet clinical diagnostic criteria, patients who test negative for COVID-19, and patients who exceed a risk score for serious complications from COVID-19. RESULTS: By use of registries, custom dashboards and operational reports were developed to provide a daily high-level summary for clinical practice use and up-to-date information to manage individual patients affected by COVID-19, including support of case identification, contact isolation, and other care management tasks. CONCLUSION: We developed and implemented a systematic approach to the use of EHR patient registries to manage the COVID-19 pandemic that proved feasible and useful in a large multistate group clinical practice. The key to harnessing the potential of digital surveillance tools to promote patient-centered care during the COVID-19 pandemic was to use the registry data, reports, and dashboards as informatics tools to inform decision-making. Twit Text FOAVip Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019 ????Mayo Clin Proc Innov Qual Outcomes http://www.kidney.de/pget.php?&tw=1&pmid=33521582 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33521582 #FOAvip English Wikipedia <ref>{{Cite pmid|33521582}}</ref> Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019 #MMPMID33521582 Jose T; Warner DO; O'Horo JC; Peters SG; Chaudhry R; Binnicker MJ; Burger CD Mayo Clin Proc Innov Qual Outcomes 2021[Feb]; 5 (1): 109-117 PMID33521582show ga OBJECTIVE: To describe the design, implementation, and utilization of electronic health record (EHR)-based digital health surveillance strategies used to manage the coronavirus disease 2019 (COVID-19) pandemic and to ensure delivery of high-quality clinical care, such as case identification, remote monitoring, telemedicine services, and recruitment to clinical trials at Mayo Clinic. METHODS: The design and implementation work described in this report was performed at Mayo Clinic, a large multistate integrated health care system with more than 1.5 million annual patient visits that uses the Epic EHR system. Rule-based live registries were designed in the EHR system to classify patients who currently test positive for COVID-19, patients who test positive but have recovered from COVID-19, patients who are thought to have COVID-19 but do not yet meet clinical diagnostic criteria, patients who test negative for COVID-19, and patients who exceed a risk score for serious complications from COVID-19. RESULTS: By use of registries, custom dashboards and operational reports were developed to provide a daily high-level summary for clinical practice use and up-to-date information to manage individual patients affected by COVID-19, including support of case identification, contact isolation, and other care management tasks. CONCLUSION: We developed and implemented a systematic approach to the use of EHR patient registries to manage the COVID-19 pandemic that proved feasible and useful in a large multistate group clinical practice. The key to harnessing the potential of digital surveillance tools to promote patient-centered care during the COVID-19 pandemic was to use the registry data, reports, and dashboards as informatics tools to inform decision-making. äDigital Health Surveillance Strategies for Management of Coronavirus D(epmc).pdf DeepDyve Pubget Overpricing