Literature DB >> 8222461

Computers in pharmacokinetics. Choosing software for clinical decision making.

D E Buffington1, V Lampasona, M H Chandler.   

Abstract

Over the past 20 years, pharmacokinetic programs have been developed for clinical decision making. These clinical pharmacokinetic software programs are designed to assist the clinician in the analysis, interpretation and reporting of serum drug concentration data for a variety of medications. The programs vary in the extent of features and range of medications supported and thus warrant careful review before selecting or purchasing such a program for routine use. A series of programs which are commercially available in the United States was reviewed for this article. The focus of the review is not to recommend a single program or to provide a ranked list of commercially available programs. Information is presented to clinicians to better their understanding of the features of these computer-based clinical resources. As an introduction to this topic, the information presented concentrates on the system and support features. Those programs that were reviewed demonstrate the ability to assist in the analysis of serum or plasma drug concentration data for most of the medications that warrant therapeutic drug monitoring. They provide both Bayesian and non-Bayesian methods for predicting serum drug concentrations. Standard personal computers were sufficient to run each of the programs reviewed. In addition, most programs offered technical and clinical support. However, the quality of the user manuals and training material varies among software programs. In-depth analytical comparisons are currently being conducted for future publication.

Mesh:

Year:  1993        PMID: 8222461     DOI: 10.2165/00003088-199325030-00004

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


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  12 in total

Review 1.  Pharmacokinetic software for the health sciences: choosing the right package for teaching purposes.

Authors:  B G Charles; S B Duffull
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

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Authors:  W G Leader; S L Pestotnik; M H Chandler
Journal:  Clin Pharmacokinet       Date:  1996-09       Impact factor: 6.447

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Review 4.  Fundamentals of Population Pharmacokinetic Modelling : Modelling and Software.

Authors:  Tony K L Kiang; Catherine M T Sherwin; Michael G Spigarelli; Mary H H Ensom
Journal:  Clin Pharmacokinet       Date:  2012-08       Impact factor: 6.447

Review 5.  Benchmarking therapeutic drug monitoring software: a review of available computer tools.

Authors:  Aline Fuchs; Chantal Csajka; Yann Thoma; Thierry Buclin; Nicolas Widmer
Journal:  Clin Pharmacokinet       Date:  2013-01       Impact factor: 6.447

Review 6.  Individualising aminoglycoside dosage regimens after therapeutic drug monitoring: simple or complex pharmacokinetic methods?

Authors:  M M Tod; C Padoin; O Petitjean
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

Review 7.  Methods for clinical monitoring of cyclosporin in transplant patients.

Authors:  R J Dumont; M H Ensom
Journal:  Clin Pharmacokinet       Date:  2000-05       Impact factor: 6.447

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Journal:  Clin Pharmacokinet       Date:  1996-11       Impact factor: 6.447

9.  Population pharmacokinetics and Bayesian estimation of mycophenolic acid concentrations in stable renal transplant patients.

Authors:  Chantal Le Guellec; Hélène Bourgoin; Matthias Büchler; Yann Le Meur; Yvon Lebranchu; Pierre Marquet; Gilles Paintaud
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

10.  Design and Usability of an Electronic Health Record-Integrated, Point-of-Care, Clinical Decision Support Tool for Modeling and Simulation of Antihemophilic Factors.

Authors:  Susan M Abdel-Rahman; Harpreet Gill; Shannon L Carpenter; Pathe Gueye; Brian Wicklund; Matt Breitkreutz; Arindam Ghosh; Avinash Kollu
Journal:  Appl Clin Inform       Date:  2020-04-08       Impact factor: 2.342

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