Literature DB >> 7569744

Using computerized individual medication data to detect drug effects on clinical laboratory tests.

P Grönroos1, K Irjala, J Heiskanen, K Torniainen.   

Abstract

In clinical practice, thousands of drugs are used daily. Clinicians know the therapeutic effects of drugs but other minor drug effects are often ignored either because of inadequate knowledge of these effects or simply because of the limited memory capacity of a human being. This problem can be solved by using a computerized information system, which includes medication data of individual patients as well as information about non-therapeutic drug-effects. One of these non-therapeutic confusing drug effects is the influence of drugs on laboratory tests; a problem that should be taken into account in clinical practice and diagnostics. Other complicating drug effects include drug interactions and patient related adverse drug reactions. In a computerized information system, it is possible to build decision support modules that automatically give alarms or alerts of important drug effects other than therapeutic effects. If these warnings concern laboratory tests they are checked by a laboratory physician and only those with clinical significance are sent to clinicians. Warnings of drug interactions and adverse drug reactions are immediately evaluated by the physician responsible for the treatment. By means of the computerized information system, it is also possible to get better information of current medication practice which in turn gives better chances to agree on common guidelines and enables better quality assurance.

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Mesh:

Year:  1995        PMID: 7569744     DOI: 10.3109/00365519509088448

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest Suppl        ISSN: 0085-591X


  6 in total

1.  Computerized survelliance of adverse drug reactions in hospital: pilot study.

Authors:  T Azaz-Livshits; M Levy; B Sadan; M Shalit; G Geisslinger; K Brune
Journal:  Br J Clin Pharmacol       Date:  1998-03       Impact factor: 4.335

2.  Coding drug effects on laboratory tests for health care information systems.

Authors:  P Grönroos; K Irjala; J J Forsström
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

Review 3.  A systematic review to evaluate the accuracy of electronic adverse drug event detection.

Authors:  Alan J Forster; Alison Jennings; Claire Chow; Ciera Leeder; Carl van Walraven
Journal:  J Am Med Inform Assoc       Date:  2012 Jan-Feb       Impact factor: 4.497

4.  E-pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions.

Authors:  Antje Neubert; Harald Dormann; Hans-Ulrich Prokosch; Thomas Bürkle; Wolfgang Rascher; Reinhold Sojer; Kay Brune; Manfred Criegee-Rieck
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

5.  Towards a Computable Data Corpus of Temporal Correlations between Drug Administration and Lab Value Changes.

Authors:  Axel Newe; Stefan Wimmer; Antje Neubert; Linda Becker; Hans-Ulrich Prokosch; Matthias W Beckmann; Rainer Fietkau; Christian Forster; Markus Friedrich Neurath; Georg Schett; Thomas Ganslandt
Journal:  PLoS One       Date:  2015-08-24       Impact factor: 3.240

6.  Dramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterations.

Authors:  Axel Newe
Journal:  PeerJ       Date:  2016-03-24       Impact factor: 2.984

  6 in total

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