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10.1208/s12248-014-9632-5 http://scihub22266oqcxt.onion/10.1208/s12248-014-9632-5 24947898DashboardSystems:ImplementingPharmacometricsfromBenchtoBedside.!4147040!24947898     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       AAPS+J 2014 ; 16 (5): 925-37 Nephropedia Template TP {{tp|p=24947898|t=2014. Dashboard systems: implementing pharmacometrics from bench to bedside |pdf=|usr=}}{{24947898}} gab.com Text Dashboard systems: implementing pharmacometrics from bench to bedside JO: AAPS J http://www.kidney.de/pget.php?&tw=1&pmid=24947898 #FOAvip In recent years, there has been increasing interest in the development of medical decision-support tools, including dashboard systems. Dashboard systems are software packages that integrate information and calculations about therapeutics from multiple components into a single interface for use in the clinical environment. Given the high cost of medical care, and the increasing need to demonstrate positive clinical outcomes for reimbursement, dashboard systems may become an important tool for improving patient outcome, improving clinical efficiency and containing healthcare costs. Similarly the costs associated with drug development are also rising. The use of model-based drug development (MBDD) has been proposed as a tool to streamline this process, facilitating the selection of appropriate doses and making informed go/no-go decisions. However, complete implementation of MBDD has not always been successful owing to a variety of factors, including the resources required to provide timely modeling and simulation updates. The application of dashboard systems in drug development reduces the resource requirement and may expedite updating models as new data are collected, allowing modeling results to be available in a timely fashion. In this paper, we present some background information on dashboard systems and propose the use of these systems both in the clinic and during drug development. Twit Text FOAVip Dashboard systems: implementing pharmacometrics from bench to bedside ????AAPS J http://www.kidney.de/pget.php?&tw=1&pmid=24947898 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24947898 #FOAvip English Wikipedia <ref>{{Cite pmid|24947898}}</ref> Dashboard systems: implementing pharmacometrics from bench to bedside #MMPMID24947898 Mould DR; Upton RN; Wojciechowski J AAPS J 2014[Sep]; 16 (5): 925-37 PMID24947898show ga In recent years, there has been increasing interest in the development of medical decision-support tools, including dashboard systems. Dashboard systems are software packages that integrate information and calculations about therapeutics from multiple components into a single interface for use in the clinical environment. Given the high cost of medical care, and the increasing need to demonstrate positive clinical outcomes for reimbursement, dashboard systems may become an important tool for improving patient outcome, improving clinical efficiency and containing healthcare costs. Similarly the costs associated with drug development are also rising. The use of model-based drug development (MBDD) has been proposed as a tool to streamline this process, facilitating the selection of appropriate doses and making informed go/no-go decisions. However, complete implementation of MBDD has not always been successful owing to a variety of factors, including the resources required to provide timely modeling and simulation updates. The application of dashboard systems in drug development reduces the resource requirement and may expedite updating models as new data are collected, allowing modeling results to be available in a timely fashion. In this paper, we present some background information on dashboard systems and propose the use of these systems both in the clinic and during drug development. |*Computer Systems[MESH] |*Decision Support Techniques[MESH] |*Drug Therapy[MESH] |*Software[MESH] |Animals[MESH] |Bayes Theorem[MESH] |Drug Discovery/*instrumentation[MESH] |Drug Dosage Calculations[MESH] |Drug Therapy, Computer-Assisted/*instrumentation[MESH] |Humans[MESH] |Models, Biological[MESH] |Patient Selection[MESH] |Pharmacogenetics[MESH] |Pharmacokinetics[MESH] |Precision Medicine[MESH] |Risk Assessment[MESH] |Risk Factors[MESH] |Software Design[MESH]Dashboard systems: implementing pharmacometrics from bench to bedside (epmc).pdf DeepDyve Pubget Overpricing