Abstract:
Introduction: The worldwide prevalence of obesity had a drastic increase in childhood/ adolescents. In 2014, it was estimated that 41 million children in all world, under...Show MoreMetadata
Abstract:
Introduction: The worldwide prevalence of obesity had a drastic increase in childhood/ adolescents. In 2014, it was estimated that 41 million children in all world, under the age of 5 were overweight or obese. Despite all the efforts, the number of overweight and obese children/adolescents is rising in almost all countries. Meanwhile, some points impaired the healthcare professionals to follow obesity guideline clinical practice (CPG). Information systems have an important role to play in the maintaining of this reality. Aim: To propose a set of archetypes for the integration of CPG recommendations for treatment and prevention of obesity in children and adolescents in an openEHR based Electronic Health Record (EHR). Methods: We assessed obesity guidelines as National Heart, Lung and Blood Institute (NHLBI), American Academic of Paediatrics (AAP), Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO), World Health Organization (WHO) and Dietary Reference Intake (DRI) and selected the most representative variables in nutrition parameters (anthropometry, body composition, nutrients intake, etc.) in order to create/ find archetypes in Clinical Knowledge Manager (CKM) repository, and, finally, compose a template in openEHR. Results: 38 variables were identified in guidelines. However, only 22 archetypes were necessary to represent all of them. Of these 22 archetypes, 8 are already available in CKM, while 14 clinical statements had no archetype representation and they had to be created. Conclusion: Based on the created archetypes, an openEHR template can be created for the representation of clinical statements regarding the most important clinical guidelines in obesity. This template can be used by nutritionists and others health professionals to manage data relevant to obesity care.
Date of Conference: 22-24 June 2017
Date Added to IEEE Xplore: 13 November 2017
ISBN Information:
Electronic ISSN: 2372-9198