Literature DB >> 8880276

Linking patient medication data with laboratory information system.

J J Forsström1, P Grönroos, K Irjala, J Heiskanen, K Torniainen.   

Abstract

Dozens of new drugs are taken into clinical use each year. Even if the clinicians were able to learn the most important therapeutic effects of the drugs they prescribe, they would still be unable to remember all of their minor effects. After storing patient related medication data on computerized patient records it is possible to build decision support modules which automatically remind of possible drug influences on laboratory tests and cause alarms or alerts of drug interactions. Medication profiles coded using the Anatomical Therapeutic Chemical-code (ATC-code) constitutes a valuable part of an Electronic Patient Record (EPR). In this paper, we describe the benefits of our system. By building links to commercially available drug and laboratory databases we can automatically inform clinicians on clinically relevant drug influences on laboratory test results.

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Year:  1996        PMID: 8880276     DOI: 10.1016/0020-7101(96)01188-9

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  3 in total

1.  Are computerised monitoring systems of value to improve pharmacovigilance in paediatric patients?

Authors:  Antje Neubert; Harald Dormann; Jutta Weiss; Manfred Criegee-Rieck; Andreas Ackermann; Micha Levy; Kay Brune; Wolfgang Rascher
Journal:  Eur J Clin Pharmacol       Date:  2006-10-05       Impact factor: 2.953

2.  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

3.  Detection of potential drug-drug interactions for outpatients across hospitals.

Authors:  Yu-Ting Yeh; Min-Hui Hsu; Chien-Yuan Chen; Yu-Sheng Lo; Chien-Tsai Liu
Journal:  Int J Environ Res Public Health       Date:  2014-01-27       Impact factor: 3.390

  3 in total

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