In:
Basic & Clinical Pharmacology & Toxicology, Wiley, Vol. 112, No. 6 ( 2013-06), p. 392-400
Kurzfassung:
There is limited experience and methods for extractions of drug therapy data from electronic health records ( EHR ) in the hospital setting. We have therefore developed and evaluated completeness and consistency of an automatic versus a semi‐automatic extraction procedure applied on prescribing and administration of the TNF inhibitor infliximab using a hospital EHR system in K arolinska U niversity H ospital, S weden. Using two different extraction methods (automatic and semi‐automatic), all administered infusions of infliximab between 2007 and 2010 were extracted from a database linked to the EHR system. Extracted data included encrypted personal identity number ( PIN ), date of birth, sex, time of prescription/administration, healthcare units, prescribed/administered dose and time of admission/discharge. The primary diagnosis ( ICD ‐10) for the treatment with infliximab was extracted by linking infliximab infusions to their corresponding treatment episode. A total of 13,590 infusions of infliximab were administered during the period of 2007 to 2010. Of those were 13,531 (99.6%) possible to link to a corresponding treatment episode, and a primary diagnosis was extracted for 13,530 infusions. Information on encrypted PIN , date of birth, time of prescription/administration, time of admission/discharge and healthcare unit was complete. Information about sex was missing in one patient only. Calculable information about dosage was extracted for 13,300 (98.3%) of all linked infusions. This methodological study showed the potential to extract drug therapy data in a hospital setting. The semi‐automatic procedure produced an almost complete pattern of demographics, diagnoses and dosages for the treatment with infliximab.
Materialart:
Online-Ressource
ISSN:
1742-7835
,
1742-7843
DOI:
10.1111/bcpt.2013.112.issue-6
Sprache:
Englisch
Verlag:
Wiley
Publikationsdatum:
2013
ZDB Id:
2151592-X
SSG:
15,3
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