RESUMO
In Italy, ICD-9-CM is currently used for coding health conditions at hospital discharge, but ICD-10 is being introduced thanks to the IT-DRG Project. In this project, one needed component is a set of transcoding rules and associated tools for easing coders work in the transition. The present paper illustrates design and development of those transcoding rules, and their preliminary testing on a subset of Italian hospital discharge data.
Assuntos
Registros Eletrônicos de Saúde/organização & administração , Classificação Internacional de Doenças/classificação , Registro Médico Coordenado/métodos , Processamento de Linguagem Natural , Sumários de Alta do Paciente Hospitalar/classificação , Software , Armazenamento e Recuperação da Informação/métodos , Itália , Alta do Paciente , Design de Software , Validação de Programas de Computador , TraduçãoRESUMO
Classification revision and update can be defined as a social experience, with the participating community of experts behaving like a social network. ICD11 is being revised using an innovative web based process, for which we envisioned also tools for social platforms integration. The present poster preliminarily describes the Facebook tools developed for soliciting expert and participation in the ICD11 revision process.
Assuntos
Comportamento Cooperativo , Disseminação de Informação/métodos , Classificação Internacional de Doenças/classificação , Classificação Internacional de Doenças/normas , Mídias Sociais/organização & administração , Rede Social , Software , Design de Software , Integração de SistemasRESUMO
Regular moderate-intensity physical activity is strongly recommended as well in patients with type 1 diabetes mellitus. However, the more frequent complication of exercise in T1DM patients is an excessive fall of glycaemia, which remains thus the strongest barrier to physical activity and the number of difficulties patients have to meet often further discourage them. Recently, a new algorithm has been proposed, that estimates, on a patient- and situation-specific basis, the amount of supplemental carbohydrates required by diabetic patients in order to exercise under safe blood glucose levels. The present paper discusses an implementation of the ECRES algorithm aimed at smartphones, and its preliminary evaluation from the accuracy point of view versus the original implementation, as well as usability. The developed mobile application replicates the original algorithm in a portable device that, after its preliminary experimentation, may be useful to make physical activity easier for diabetic patients.