An application for mobile devices focused on clinical decision support: Diabetes mellitus case

Lucas Felipe Klein, Sandro José Rigo, Sílvio César Cazella*, Ângela Jornada Ben

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


Clinical decision-making is performed by health professionals and it is currently connected to the need for manual query for these professionals for clinical guidelines, which are generally formed by large text files, which makes this process very slow and laborious. The development of mobility-based systems, which has the objective of helping the health-related processes, is becoming increasingly widespread. These solutions provide physicians fast and easy access to information anytime and anywhere, in order to support decision-making processes and the quality of care. This paper presents a decision support system based in the Brazilian primary care notebook: Diabetes Mellitus. The solution allows the physicians to interact with a flow of structured questions to assist in clinical reasoning, and, afterwards, they can obtain diagnosis or suggestions of for diabetes treatment. This flow of questions and their outputs are modeled in an ontology, which is found on the knowledge of basic attention specifications. The prototype was tested and evaluated by medical experts, with promising results.
Original languageEnglish
Title of host publicationAmbient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016)
EditorsJuan F. De Paz, Hyun Yoe, Gabriel Villarrubia, Paulo Novais, Helena Lindgren, Antonio Fernández-Caballero, Andres Jiménez Ramírez
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319401133
Publication statusPublished - 2016
Externally publishedYes
Event7th International Symposium on Ambient Intelligence, ISAmI 2016 - Seville, Spain
Duration: 1 Jun 20163 Jun 2016

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference7th International Symposium on Ambient Intelligence, ISAmI 2016


  • Clinical decision support
  • Mobile devices
  • Primary health care


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