PROPOSTA DE UM MODELO DIGITAL DE RECONCILIAÇÃO TERAPÊUTICA COM RECURSO A BLOCKCHAIN E INTELIGÊNCIA ARTIFICIAL
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O Registo de Saúde Eletrónico (RSE) é o resultado da mudança do atual sistema de saúde, influenciado pela inovação, integração e partilha de dados clínicos. O RSE deve incluir sumário clínico dos pacientes, prescrições eletrónicas, registo eletrónico de dispensa de medicação, resultados laboratoriais, imagens e/ou relatórios médicos e notas de alta hospitalar. A prescrição médica e a administração de terapêutica são dos erros evitáveis mais comuns em Saúde, a sexta maior causa de morte nos EUA e uma prioridade para a Organização Mundial de Saúde desde que lançou a iniciativa “Medication Without Harm”. Os objetivos deste trabalho são: i) apresentar um modelo digital de reconciliação terapêutica; ii) propor uma solução interoperável e legalmente conforme; iii) integrar a tecnologia Blockchain e Inteligência Artificial no modelo apresentado. Através de uma revisão bibliográfica descritiva e exploratória, propôs-se a utilização dos “standards” HL7 FHIR e SNOMED-CT, modelo “client-CA” para a Blockchain e modelos de “machine learning” e “natural language processing” para a Inteligência Artificial. É complexo garantir a transmissão de dados clínicos de forma interoperável e segura, mas teoricamente exequível. As vantagens ao nível da reconciliação terapêutica serão mensuráveis com a contínua diminuição da morbimortalidade associada ao erro terapêutico.
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