TY - GEN
T1 - An application for mobile devices focused on clinical decision support
T2 - 7th International Symposium on Ambient Intelligence, ISAmI 2016
AU - Klein, Lucas Felipe
AU - Rigo, Sandro José
AU - César Cazella, Sílvio
AU - Ben, Ângela Jornada
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Clinical decision support
KW - Mobile devices
KW - Primary health care
UR - http://www.scopus.com/inward/record.url?scp=84976502813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84976502813&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40114-0_7
DO - 10.1007/978-3-319-40114-0_7
M3 - Conference contribution
SN - 9783319401133
T3 - Advances in Intelligent Systems and Computing
SP - 57
EP - 65
BT - Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016)
A2 - De Paz, Juan F.
A2 - Yoe, Hyun
A2 - Villarrubia, Gabriel
A2 - Novais, Paulo
A2 - Lindgren, Helena
A2 - Fernández-Caballero, Antonio
A2 - Ramírez, Andres Jiménez
PB - Springer Verlag
Y2 - 1 June 2016 through 3 June 2016
ER -
