dc.contributorCosta, Cristiano André da
dc.creatorBertoncello, Vitor Secretti
dc.date.accessioned2017-04-19T16:23:48Z
dc.date.accessioned2022-09-09T21:40:11Z
dc.date.accessioned2023-03-13T19:38:02Z
dc.date.available2017-04-19T16:23:48Z
dc.date.available2022-09-09T21:40:11Z
dc.date.available2023-03-13T19:38:02Z
dc.date.created2017-04-19T16:23:48Z
dc.date.created2022-09-09T21:40:11Z
dc.date.issued2017-02-21
dc.identifierhttp://148.201.128.228:8080/xmlui/handle/20.500.12032/34344
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6157722
dc.description.abstractThe constant growth of life expectancy in Brazil brought to the focus a challenge for the healthcare systems. The increased longevity of the population directly results in increased registration of chronic diseases, increasing the demand for healthcare. Overcoming this challenge is to change the health care model, whose goal is to insert the patient as an active member in the care of own welness. This new model has generated demand for new information and communication technologies solutions able to satisfactorily meet the patient, as solutions in mobile and ubiquitous computing. Thus, this paper proposes the model called AllHealthcare, consisting of a personal health record (PHR) solution that the patient is able to build a Dynamic Accompanying Profile (PAD) for their health care, according to their needs, and change it as new demands or focus may be considered. This dynamism in building a custom profile is achieved due to the proposed model is based on openEHR standard archetypes, which also provides the feature of semantic interoperability to this proposal. In a review research focusing on PHR, most of the solutions founded are designed and focused for treatment of a particular disease or their models do not fulfill a number of important and current operational requirements, such as healthcare mobility and semantic interoperability of health information. From the proposed model, a functional prototype was implemented, underwent through three stages of evaluation. In the three evaluation stages, the results were positive and the participants pointed out a set of possible improvements, even though applying the technology acceptance model (TAM) to 22 prototype users, obtained an average acceptance of 86.6%.
dc.publisherUniversidade do Vale do Rio dos Sinos
dc.rightsopenAccess
dc.subjectProntuário eletrônico
dc.subjectPersonal health record
dc.titleALLHEALTHCARE: um modelo de perfil de acompanhamento dinâmico para prontuário eletrônico pessoal
dc.typeDissertação


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