Document Detail


Towards a comprehensive electronic patient record to support an innovative individual care concept for premature infants using the openEHR approach.
MedLine Citation:
PMID:  19359214     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: This paper introduces the modelling of a prototype neonatology electronic patient record (EPR) using openEHR archetypes. The EPR is necessary to support the complex communication tasks of the innovative concept of 'Developmental, Family-Centred, Individual Care of Premature Infants and Newborns' established for the Department of Neonatology at Heidelberg University Hospital. METHODS: The data to be documented was analysed and modelled using the five step openEHR data modelling approach (odma). RESULTS: The analysis revealed a total of 1818 items, which could be arranged into 70 clinical concepts. The items and concepts were then mapped to 132 openEHR archetypes. Fifty-eight of these archetypes could be reused either directly or via specialisation from the existing openEHR archetypes. A further 67 archetypes were newly developed. To combine and constrain archetypes for local settings 16 templates were developed. CONCLUSION: By using the five step openEHR data modelling approach, semantic interoperability, and a reduced need for repeated documentation of the same data can be realised. This is of major importance within the hospital as well as for trans-institutional data exchange.
Authors:
Jasmin Buck; Sebastian Garde; Christian D Kohl; Petra Knaup-Gregori
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Publication Detail:
Type:  Journal Article     Date:  2009-04-08
Journal Detail:
Title:  International journal of medical informatics     Volume:  78     ISSN:  1872-8243     ISO Abbreviation:  Int J Med Inform     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2009-06-23     Completed Date:  2009-09-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9711057     Medline TA:  Int J Med Inform     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  521-31     Citation Subset:  IM    
Affiliation:
Faculty of Informatics, University of Applied Sciences Heilbronn, Heilbronn, Germany. buck@hs-heilbronn.de
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MeSH Terms
Descriptor/Qualifier:
Humans
Infant Care*
Infant, Newborn
Infant, Premature*
Medical Records Systems, Computerized*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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