NUTRITION INFORMATION IN SPECIFIC CONDITIONS – MODELING ARCHETYPES IN OPENEHR NORM

Priscila Alves Maranhão1, Gustavo Marísio Bacelar-Silva1, Duarte Nuno Gonçalves-Ferreira1, Pedro Vieira-Marques1, Ricardo João Cruz-Correia1

1Center for Research in Health Technologies and Information Systems (CINTESIS)

Introduction: Noncommunicable diseases (NCDs), also known as chronic diseases, are not transmission disease. The five main types of NCDs are cardiovascular diseases, cancers, chronic respiratory diseases, diabetes and obesity. Have been describing that NCDs kill 38 million people each year and cardiovascular diseases is responsible for most NCD deaths, or 17.5 million people annually. Researchers have been showing that sedentary behavior, unhealthy diet, alcohol and tobacco use are risk factors to NCDs and nutrition care can curb the high prevalence of NCDs. However electronic health record (EHR) is an important tool to clinicians to improve treatment, prevention and update the health care.

Aim: To propose a set of archetypes for the integration of Clinical Practice Guideline (CPG) recommendations for treatment and prevention of chronic non-communicable diseases in an openEHR based EHR.

Methods: We will assess CPG in five NCDs guidelines:  cancer,  diabetes; cardiovascular disease, respiratory disease and obesity in order to create archetypes in Clinical Knowledge Manager (CKM) repository, and, finally, compose a template in openEHR.

Results: All variables were identified in guidelines. However, only 31 archetypes were necessary to represent all of them. Of these 31 archetypes, 8 are already available in CKM, while 23 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 NCDs.

keywords: Electronic health records, Nutrition, Clinical practice guideline, openEHR, Chronic non-communicable diseases

Poster: NUTRITION INFORMATION IN SPECIFIC CONDITIONS Modeling Archetypes in openEHR Specification