Literature DB >> 25991281

Development of ISO 13606 archetypes for the standardisation of data registration in the Primary Care environment.

Jesús Barros Castro1, Alejandro Lamelo Alfonsín1, Javier Prieto Cebreiro2, Dolores Rimada Mora1, Lino Carrajo García1, Guillermo Vázquez González1.   

Abstract

On daily procedures, companies and organizations produce a wide quantity of data. Medical information doubles every five years approximately, and most of this information has no structure and cannot be utilised. Information obtained during Primary Health Care (PC) consultations is expected to be standardized and organised following instructions made by archetype 13606 of the International Organization for Standardization (ISO) in order to guarantee the Continuity of Care as well as the potential use of these data for secondary purposes, such as investigation or statistics. This study was designed to investigate the feasibility of representing the information collected in Primary Care consultations in a structured and normalized way. A key difference to other approaches is that the intended solution is, to the best of our knowledge, the first one to register all the information collected in this area. The participation of the Primary Health Care service (PC) from Complejo Hospitalario Universitario de A Coruña (CHUAC) has been of vital importance in this project as it has provided the necessary clinical knowledge and it has allowed us to verify the effectiveness obtained in actual environments. The archetypes developed can be reused in a wide range of projects. As an example of use, we have used these archetypes to create an intelligent system that generates organised reports based on the information dictated on a medical consultation which, afterwards, can be analysed from an analytical point of view.

Mesh:

Year:  2015        PMID: 25991281

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Patients Decision Aid System Based on FHIR Profiles.

Authors:  Ilia Semenov; Georgy Kopanitsa; Dmitry Denisov; Yakovenko Alexandr; Roman Osenev; Yury Andreychuk
Journal:  J Med Syst       Date:  2018-07-31       Impact factor: 4.460

2.  Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support.

Authors:  Ilia Semenov; Roman Osenev; Sergey Gerasimov; Georgy Kopanitsa; Dmitry Denisov; Yuriy Andreychuk
Journal:  Int J Environ Res Public Health       Date:  2019-12-20       Impact factor: 3.390

  2 in total

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