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10.1093/jamia/ocaa112 http://scihub22266oqcxt.onion/10.1093/jamia/ocaa112 32442266!7313984!32442266     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Am+Med+Inform+Assoc 2020 ; 27 (8): 1306-1309 Nephropedia Template TP {{tp|p=32442266|t=2020. Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic |pdf=|usr=}}{{32442266}} gab.com Text Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic JO: J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=32442266 #FOAvip We sought to identify barriers to hospital reporting of electronic surveillance data to local, state, and federal public health agencies and the impact on areas projected to be overwhelmed by the COVID-19 pandemic. Using 2018 American Hospital Association data, we identified barriers to surveillance data reporting and combined this with data on the projected impact of the COVID-19 pandemic on hospital capacity at the hospital referral region level. Our results find the most common barrier was public health agencies lacked the capacity to electronically receive data, with 41.2% of all hospitals reporting it. We also identified 31 hospital referral regions in the top quartile of projected bed capacity needed for COVID-19 patients in which over half of hospitals in the area reported that the relevant public health agency was unable to receive electronic data. Public health agencies' inability to receive electronic data is the most prominent hospital-reported barrier to effective syndromic surveillance. This reflects the policy commitment of investing in information technology for hospitals without a concomitant investment in IT infrastructure for state and local public health agencies. Twit Text FOAVip Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic ????J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=32442266 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32442266 #FOAvip English Wikipedia <ref>{{Cite pmid|32442266}}</ref> Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic #MMPMID32442266 Holmgren AJ; Apathy NC; Adler-Milstein J J Am Med Inform Assoc 2020[Aug]; 27 (8): 1306-1309 PMID32442266show ga We sought to identify barriers to hospital reporting of electronic surveillance data to local, state, and federal public health agencies and the impact on areas projected to be overwhelmed by the COVID-19 pandemic. Using 2018 American Hospital Association data, we identified barriers to surveillance data reporting and combined this with data on the projected impact of the COVID-19 pandemic on hospital capacity at the hospital referral region level. Our results find the most common barrier was public health agencies lacked the capacity to electronically receive data, with 41.2% of all hospitals reporting it. We also identified 31 hospital referral regions in the top quartile of projected bed capacity needed for COVID-19 patients in which over half of hospitals in the area reported that the relevant public health agency was unable to receive electronic data. Public health agencies' inability to receive electronic data is the most prominent hospital-reported barrier to effective syndromic surveillance. This reflects the policy commitment of investing in information technology for hospitals without a concomitant investment in IT infrastructure for state and local public health agencies. |*Coronavirus Infections[MESH] |*Electronic Health Records[MESH] |*Hospitals[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Data Collection/*methods[MESH] |Humans[MESH] |Population Surveillance/*methods[MESH] |Public Health/methods[MESH]Barriers to hospital electronic public health reporting and implicatio(epmc).pdf DeepDyve Pubget Overpricing