RESUMO
Healthcare consumers must be able to make decisions based on accurate health information. To assist with this, we designed and developed an integrated system connected with electronic medical records in hospitals to ensure delivery of accurate health information. The system-called the Consumer-centered Open Personal Health Record platform-is composed of two services: a portal for users with any disease and a mobile application for users with cleft lip/palate. To assess the benefits of these services, we used a quasi-experimental, pretest-posttest design, assigning participants to the portal (n = 50) and application (n = 52) groups. Both groups showed significantly increased knowledge, both objective (actual knowledge of health information) and subjective (perceived knowledge of health information), after the intervention. Furthermore, while both groups showed higher information needs satisfaction after the intervention, the application group was significantly more satisfied. Knowledge changes were more affected by participant characteristics in the application group. Our results may be due to the application's provision of specific disease information and a personalized treatment plan based on the participant and other users' data. We recommend that services connected with electronic medical records target specific diseases to provide personalized health management to patients in a hospital setting.
Assuntos
Registros Eletrônicos de Saúde/organização & administração , Registros de Saúde Pessoal , Participação do Paciente/psicologia , Portais do Paciente/estatística & dados numéricos , Conhecimentos, Atitudes e Prática em Saúde , Hospitais , Humanos , Aplicativos Móveis/estatística & dados numéricos , Participação do Paciente/métodosRESUMO
Clinical documents embody professional clinical knowledge. This paper shows an effective clinical document template (CDT) production system that uses a clinical description entity (CDE) model, a CDE ontology, and a knowledge management system called STEP that manages ontology-based clinical description entities. The ontology represents CDEs and their inter-relations, and the STEP system stores and manages CDE ontology-based information regarding CDTs. The system also provides Web Services interfaces for search and reasoning over clinical entities. The system was populated with entities and relations extracted from 35 CDTs that were used in admission, discharge, and progress reports, as well as those used in nursing and operation functions. A clinical document template editor is shown that uses STEP.