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.
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: M R Santos; T Q V de Sá; F E da Silva; M R Dos Santos Junior; T A Maia; Z S N Reis Journal: Appl Clin Inform Date: 2017-12-14 Impact factor: 2.342