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10.1016/j.ijmedinf.2020.104291 http://scihub22266oqcxt.onion/10.1016/j.ijmedinf.2020.104291 33049479!7528843!33049479     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 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Med+Inform 2020 ; 144 (ä): 104291 Nephropedia Template TP {{tp|p=33049479|t=2020. A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members |pdf=|usr=}}{{33049479}} gab.com Text A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members JO: Int J Med Inform http://www.kidney.de/pget.php?&tw=1&pmid=33049479 #FOAvip OBJECTIVE: The coronavirus pandemic has highlighted the need to simplify data collection for critically-ill patients, particularly for physicians relocated to the ICU setting. Herein we present a simple, reproducible, and highly-customizable manual-entry tool to track ICU patients using new HIPAA-compliant Google Big Query technology for parsing large datasets. This innovative flow chart is useful and could be modified to serve the particular needs of different sub-specialists, particularly those that either rely heavily on hand-written notes or experience poor electronic medical record (EMR) penetration. METHODS: The tool was developed using a combination of three Google Enterprise features: Google Forms for data input, Google Sheets for data output, and Google Big Query for data parsing. Code was written in SQL. Sheets functions were used to transpose and filter parsed data. White and black box tests were performed to examine functionality. RESULTS: Our tool was successfully able to collect and output fictional patient data across all 57 data points specified by the intensivists and surgeons of Cardiovascular Department of Mt. Sinai Morningside Hospital. CONCLUSION: The functional tests performed demonstrate use of the tool. Though originally conceived to simplify patient data collection for newly relocated physicians to the ICU, our tool also overcomes financial and technological barriers previously described in low-income countries that could dramatically improve patient care and provide data to power future studies in these regions. With the original code provided, implementers may adapt our tool to best meet the requirements of their clinical setting and protocols during this very challenging time. Twit Text FOAVip A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members ????Int J Med Inform http://www.kidney.de/pget.php?&tw=1&pmid=33049479 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33049479 #FOAvip English Wikipedia <ref>{{Cite pmid|33049479}}</ref> A novel tool for patient data management in the ICU-Ensuring timely and accurate vital data exchange among ICU team members #MMPMID33049479 Newman N; Gilman S; Burdumy M; Yimen M; Lattouf O Int J Med Inform 2020[Dec]; 144 (ä): 104291 PMID33049479show ga OBJECTIVE: The coronavirus pandemic has highlighted the need to simplify data collection for critically-ill patients, particularly for physicians relocated to the ICU setting. Herein we present a simple, reproducible, and highly-customizable manual-entry tool to track ICU patients using new HIPAA-compliant Google Big Query technology for parsing large datasets. This innovative flow chart is useful and could be modified to serve the particular needs of different sub-specialists, particularly those that either rely heavily on hand-written notes or experience poor electronic medical record (EMR) penetration. METHODS: The tool was developed using a combination of three Google Enterprise features: Google Forms for data input, Google Sheets for data output, and Google Big Query for data parsing. Code was written in SQL. Sheets functions were used to transpose and filter parsed data. White and black box tests were performed to examine functionality. RESULTS: Our tool was successfully able to collect and output fictional patient data across all 57 data points specified by the intensivists and surgeons of Cardiovascular Department of Mt. Sinai Morningside Hospital. CONCLUSION: The functional tests performed demonstrate use of the tool. Though originally conceived to simplify patient data collection for newly relocated physicians to the ICU, our tool also overcomes financial and technological barriers previously described in low-income countries that could dramatically improve patient care and provide data to power future studies in these regions. With the original code provided, implementers may adapt our tool to best meet the requirements of their clinical setting and protocols during this very challenging time. |*Data Accuracy[MESH] |Critical Illness/*therapy[MESH] |Data Management/*statistics & numerical data[MESH] |Delivery of Health Care/standards[MESH] |Electronic Health Records/*statistics & numerical data[MESH] |Health Information Exchange/*statistics & numerical data[MESH] |Humans[MESH] |Intensive Care Units/*statistics & numerical data[MESH] |Patient Care/*standards[MESH]A novel tool for patient data management in the ICU-Ensuring timely an(epmc).pdf DeepDyve Pubget Overpricing