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10.1136/bmjhci-2020-100307 http://scihub22266oqcxt.onion/10.1136/bmjhci-2020-100307 34244178!8275356!34244178     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMJ+Health+Care+Inform 2021 ; 28 (1): ä Nephropedia Template TP {{tp|p=34244178|t=2021. Development of a customised data management system for a COVID-19-adapted colorectal cancer pathway |pdf=|usr=}}{{34244178}} gab.com Text Development of a customised data management system for a COVID-19-adapted colorectal cancer pathway JO: BMJ Health Care Inform http://www.kidney.de/pget.php?&tw=1&pmid=34244178 #FOAvip OBJECTIVES: A customised data management system was required for a rapidly implemented COVID-19-adapted colorectal cancer pathway in order to mitigate the risks of delayed and missed diagnoses during the pandemic. We assessed its performance and robustness. METHODS: A system was developed using Microsoft Excel (2007) to retain the spreadsheets' intuitiveness of direct data entry. Visual Basic for Applications (VBA) was used to construct a user-friendly interface to enhance efficiency of data entry and segregate the data for operational tasks. RESULTS: Large data segregation was possible using VBA macros. Data validation and conditional formatting minimised data entry errors. Computation by the COUNT function facilitated live data monitoring. CONCLUSION: It is possible to rapidly implement a makeshift database system with clinicians' regular input. Large-volume data management using a spreadsheet system is possible with appropriate data definition and VBA-programmed data segregation. The described concept is applicable to any data management system construction requiring speed and flexibility in a resource-limited situation. Twit Text FOAVip Development of a customised data management system for a COVID-19-adapted colorectal cancer pathway ????BMJ Health Care Inform http://www.kidney.de/pget.php?&tw=1&pmid=34244178 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34244178 #FOAvip English Wikipedia <ref>{{Cite pmid|34244178}}</ref> Development of a customised data management system for a COVID-19-adapted colorectal cancer pathway #MMPMID34244178 Miller J; Gunn F; Dunlop MG; Din FV; Maeda Y BMJ Health Care Inform 2021[Jul]; 28 (1): ä PMID34244178show ga OBJECTIVES: A customised data management system was required for a rapidly implemented COVID-19-adapted colorectal cancer pathway in order to mitigate the risks of delayed and missed diagnoses during the pandemic. We assessed its performance and robustness. METHODS: A system was developed using Microsoft Excel (2007) to retain the spreadsheets' intuitiveness of direct data entry. Visual Basic for Applications (VBA) was used to construct a user-friendly interface to enhance efficiency of data entry and segregate the data for operational tasks. RESULTS: Large data segregation was possible using VBA macros. Data validation and conditional formatting minimised data entry errors. Computation by the COUNT function facilitated live data monitoring. CONCLUSION: It is possible to rapidly implement a makeshift database system with clinicians' regular input. Large-volume data management using a spreadsheet system is possible with appropriate data definition and VBA-programmed data segregation. The described concept is applicable to any data management system construction requiring speed and flexibility in a resource-limited situation. |*COVID-19[MESH] |*Colorectal Neoplasms/prevention & control[MESH] |*Critical Pathways[MESH] |*Data Management[MESH] |Databases, Factual[MESH] |Early Detection of Cancer[MESH] |Humans[MESH] |Software[MESH] |Time Factors[MESH]Development of a customised data management system for a COVID-19-adap(epmc).pdf DeepDyve Pubget Overpricing