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

doi:10.1007/978-3-319-40114-0_7

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 proceeding › Conference contribution › Academic › peer-review

Abstract

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 language	English
Title of host publication	Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016)
Editors	Juan F. De Paz, Hyun Yoe, Gabriel Villarrubia, Paulo Novais, Helena Lindgren, Antonio Fernández-Caballero, Andres Jiménez Ramírez
Publisher	Springer Verlag
Pages	57-65
Number of pages	9
ISBN (Print)	9783319401133
DOIs	https://doi.org/10.1007/978-3-319-40114-0_7
Publication status	Published - 2016
Externally published	Yes
Event	7th International Symposium on Ambient Intelligence, ISAmI 2016 - Seville, Spain Duration: 1 Jun 2016 → 3 Jun 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	476
ISSN (Print)	2194-5357

Conference

Conference	7th International Symposium on Ambient Intelligence, ISAmI 2016
Country/Territory	Spain
City	Seville
Period	1/06/16 → 3/06/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Clinical decision support
Mobile devices
Primary health care

Access to Document

10.1007/978-3-319-40114-0_7

Persistent URL (handle)

Persistent link

Cite this

Klein, L. F., Rigo, S. J., César Cazella, S., & Ben, Â. J. (2016). An application for mobile devices focused on clinical decision support: Diabetes mellitus case. In J. F. De Paz, H. Yoe, G. Villarrubia, P. Novais, H. Lindgren, A. Fernández-Caballero, & A. J. Ramírez (Eds.), Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016) (pp. 57-65). (Advances in Intelligent Systems and Computing; Vol. 476). Springer Verlag. https://doi.org/10.1007/978-3-319-40114-0_7

Klein, Lucas Felipe ; Rigo, Sandro José ; César Cazella, Sílvio et al. / An application for mobile devices focused on clinical decision support : Diabetes mellitus case. Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016). editor / Juan F. De Paz ; Hyun Yoe ; Gabriel Villarrubia ; Paulo Novais ; Helena Lindgren ; Antonio Fernández-Caballero ; Andres Jiménez Ramírez. Springer Verlag, 2016. pp. 57-65 (Advances in Intelligent Systems and Computing).

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title = "An application for mobile devices focused on clinical decision support: Diabetes mellitus case",

abstract = "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.",

keywords = "Clinical decision support, Mobile devices, Primary health care",

author = "Klein, \{Lucas Felipe\} and Rigo, \{Sandro Jos{\'e}\} and \{C{\'e}sar Cazella\}, S{\'i}lvio and Ben, \{{\^A}ngela Jornada\}",

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doi = "10.1007/978-3-319-40114-0\_7",

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isbn = "9783319401133",

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booktitle = "Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016)",

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note = "7th International Symposium on Ambient Intelligence, ISAmI 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

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Klein, LF, Rigo, SJ, César Cazella, S & Ben, ÂJ 2016, An application for mobile devices focused on clinical decision support: Diabetes mellitus case. in JF De Paz, H Yoe, G Villarrubia, P Novais, H Lindgren, A Fernández-Caballero & AJ Ramírez (eds), Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016). Advances in Intelligent Systems and Computing, vol. 476, Springer Verlag, pp. 57-65, 7th International Symposium on Ambient Intelligence, ISAmI 2016, Seville, Spain, 1/06/16. https://doi.org/10.1007/978-3-319-40114-0_7

An application for mobile devices focused on clinical decision support: Diabetes mellitus case. / Klein, Lucas Felipe; Rigo, Sandro José; César Cazella, Sílvio et al.
Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016). ed. / Juan F. De Paz; Hyun Yoe; Gabriel Villarrubia; Paulo Novais; Helena Lindgren; Antonio Fernández-Caballero; Andres Jiménez Ramírez. Springer Verlag, 2016. p. 57-65 (Advances in Intelligent Systems and Computing; Vol. 476).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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

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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 -

Klein LF, Rigo SJ, César Cazella S, Ben ÂJ. An application for mobile devices focused on clinical decision support: Diabetes mellitus case. In De Paz JF, Yoe H, Villarrubia G, Novais P, Lindgren H, Fernández-Caballero A, Ramírez AJ, editors, Ambient Intelligence-Software and Applications--7th International Symposium on Ambient Intelligence (ISAmI 2016). Springer Verlag. 2016. p. 57-65. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-40114-0_7

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Persistent URL (handle)

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