Managing COPD exacerbations with telemedicine

Maarten Van Der Heijden; Bas Lijnse; Peter J.F. Lucas; Yvonne F. Heijdra; Tjard R.J. Schermer

doi:10.1007/978-3-642-22218-4_21

Managing COPD exacerbations with telemedicine

Maarten Van Der Heijden^*, Bas Lijnse, Peter J.F. Lucas, Yvonne F. Heijdra, Tjard R.J. Schermer

^*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

Managing chronic disease through automated systems has the potential to both benefit the patient and reduce health-care costs. We are developing and evaluating a monitoring system for patients with chronic obstructive pulmonary disease which aims to detect exacerbations and thus help patients manage their disease and prevent hospitalisation. We have carefully drafted a system design consisting of an intelligent device that is able to alert the patient, collect case-specific, subjective and objective, physiological data, offer a patient-specific interpretation of the collected data by means of probabilistic reasoning, and send data to a central server for inspection by health-care professionals. A first pilot with actual COPD patients suggests that an intervention based on this system could be successful.

Original language	English
Title of host publication	Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings
Pages	169-178
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-22218-4_21
Publication status	Published - 2011
Externally published	Yes
Event	13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia Duration: 2 Jul 2011 → 6 Jul 2011 Conference number: 13

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6747 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th Conference on Artificial Intelligence in Medicine, AIME 2011
Abbreviated title	AIME
Country/Territory	Slovenia
City	Bled
Period	2/07/11 → 6/07/11

Keywords

n/a OA procedure

Access to Document

10.1007/978-3-642-22218-4_21

Cite this

Van Der Heijden, M., Lijnse, B., Lucas, P. J. F., Heijdra, Y. F., & Schermer, T. R. J. (2011). Managing COPD exacerbations with telemedicine. In Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings (pp. 169-178). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6747 LNAI). https://doi.org/10.1007/978-3-642-22218-4_21

Van Der Heijden, Maarten ; Lijnse, Bas ; Lucas, Peter J.F. et al. / Managing COPD exacerbations with telemedicine. Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. pp. 169-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Managing chronic disease through automated systems has the potential to both benefit the patient and reduce health-care costs. We are developing and evaluating a monitoring system for patients with chronic obstructive pulmonary disease which aims to detect exacerbations and thus help patients manage their disease and prevent hospitalisation. We have carefully drafted a system design consisting of an intelligent device that is able to alert the patient, collect case-specific, subjective and objective, physiological data, offer a patient-specific interpretation of the collected data by means of probabilistic reasoning, and send data to a central server for inspection by health-care professionals. A first pilot with actual COPD patients suggests that an intervention based on this system could be successful.",

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author = "{Van Der Heijden}, Maarten and Bas Lijnse and Lucas, {Peter J.F.} and Heijdra, {Yvonne F.} and Schermer, {Tjard R.J.}",

year = "2011",

doi = "10.1007/978-3-642-22218-4_21",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings",

note = "13th Conference on Artificial Intelligence in Medicine, AIME 2011, AIME ; Conference date: 02-07-2011 Through 06-07-2011",

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Van Der Heijden, M, Lijnse, B, Lucas, PJF, Heijdra, YF & Schermer, TRJ 2011, Managing COPD exacerbations with telemedicine. in Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6747 LNAI, pp. 169-178, 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, 2/07/11. https://doi.org/10.1007/978-3-642-22218-4_21

Managing COPD exacerbations with telemedicine. / Van Der Heijden, Maarten; Lijnse, Bas; Lucas, Peter J.F. et al.
Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. p. 169-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6747 LNAI).

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

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AB - Managing chronic disease through automated systems has the potential to both benefit the patient and reduce health-care costs. We are developing and evaluating a monitoring system for patients with chronic obstructive pulmonary disease which aims to detect exacerbations and thus help patients manage their disease and prevent hospitalisation. We have carefully drafted a system design consisting of an intelligent device that is able to alert the patient, collect case-specific, subjective and objective, physiological data, offer a patient-specific interpretation of the collected data by means of probabilistic reasoning, and send data to a central server for inspection by health-care professionals. A first pilot with actual COPD patients suggests that an intervention based on this system could be successful.

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Van Der Heijden M, Lijnse B, Lucas PJF, Heijdra YF, Schermer TRJ. Managing COPD exacerbations with telemedicine. In Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. 2011. p. 169-178. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-22218-4_21

Managing COPD exacerbations with telemedicine

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Keywords

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