Literature DB >> 8563322

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

P Grönroos1, K Irjala, J J Forsström.   

Abstract

Drugs interfere with laboratory diagnostics. This interference is not only confusing for clinicians but may lead to wrong diagnoses or treatments as well as unnecessary further tests. However, at the moment the drug-laboratory interferences are usually ignored in patient care because clinicians do not know or remember these properties of drugs. In Turku University Central Hospital we are now able to bring this information automatically available for clinicians by using a computerized system for linking individual patient medication data with laboratory information system. For this purpose, we are building a rule base containing the effects of drugs on laboratory tests. In order that the rule base would give the maximum benefit for all users, even other hospitals, the data included have to be classified and coded properly taking into account the various requirements and needs of all users. In this paper we introduce a coding scheme for classification and coding of drug effects on laboratory tests.

Entities:  

Mesh:

Year:  1995        PMID: 8563322      PMCID: PMC2579133     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  11 in total

Review 1.  Computerized medical care: the HELP system at LDS Hospital.

Authors:  R M Gardner; B B Maack; R S Evans; S M Huff
Journal:  J AHIMA       Date:  1992-06

2.  Drug interference in the Bradford and 2,2'-bicinchoninic acid protein assays.

Authors:  T Marshall; K M Williams
Journal:  Anal Biochem       Date:  1991-11-01       Impact factor: 3.365

3.  Description of a computerized adverse drug event monitor using a hospital information system.

Authors:  D C Classen; S L Pestotnik; R S Evans; J P Burke
Journal:  Hosp Pharm       Date:  1992-09

4.  Improving empiric antibiotic selection using computer decision support.

Authors:  R S Evans; D C Classen; S L Pestotnik; H P Lundsgaarde; J P Burke
Journal:  Arch Intern Med       Date:  1994-04-25

5.  The HELP system.

Authors:  T A Pryor; R M Gardner; P D Clayton; H R Warner
Journal:  J Med Syst       Date:  1983-04       Impact factor: 4.460

Review 6.  Amiodarone and the thyroid.

Authors:  R L Kennedy; H Griffiths; T A Gray
Journal:  Clin Chem       Date:  1989-09       Impact factor: 8.327

7.  Preventing adverse drug events in hospitalized patients.

Authors:  R S Evans; S L Pestotnik; D C Classen; S D Horn; S B Bass; J P Burke
Journal:  Ann Pharmacother       Date:  1994-04       Impact factor: 3.154

8.  A SNOMED analysis of three years' accessioned cases (40,124) of a surgical pathology department: implications for pathology-based demographic studies.

Authors:  J J Berman; G W Moore; W H Donnelly; J K Massey; B Craig
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

9.  Computerized screening for appropriate dosing of renally eliminated medications.

Authors:  R Skinner; J Caldwell; P Vitale
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

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

Authors:  P Grönroos; K Irjala; J Heiskanen; K Torniainen
Journal:  Scand J Clin Lab Invest Suppl       Date:  1995
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