Article

Intelligent agents for patient monitoring and diagnostics

Authors:

Susan L. Mabry,

Troy Schneringer,

Timothy Etters,

Naomi EdwardsAuthors Info & Claims

SAC '03: Proceedings of the 2003 ACM symposium on Applied computing

Pages 257 - 262

https://doi.org/10.1145/952532.952585

Published: 09 March 2003 Publication History

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Abstract

This paper describes Intelligent Monitor Agents (IM-Agents), a project that utilizes intelligent multiagents to assist patient health care. Clinicians must simultaneously audit and interpret an overwhelming amount of information regarding a patient during the process of monitoring, performing diagnostics and determining therapeutic intervention. Multiple IM-Agents coordinate as a team with each agent performing specialized monitor and diagnostic tasks. Fuzzy logic, connection networks, trend analysis and qualitative logic methods are used within the dynamic decision modules of all IM-Agents. The agents are autonomous, interactive, mobile and capable of performing dynamic intelligent inference during execution. Decision functionality is demonstrated in preliminary prototype test cases involving emergency trauma scenarios, particularly focusing on stabilizing hemorrhagic shock.

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Cited By

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Subhedar MJadhav VTekade SPrajapati M(2018)A Real Time Healthcare Monitoring System Based on Open Source IoT and ANFIS2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)10.1109/ICCONS.2018.8663037(281-286)Online publication date: Jun-2018
https://doi.org/10.1109/ICCONS.2018.8663037
Ganesan SSankaranarayanan S(2016)Applications of Intelligent Agents in Health Sector-A ReviewInternational Journal of E-Health and Medical Communications10.4018/IJEHMC.20160101017:1(1-30)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.4018/IJEHMC.2016010101
Malmathanraj RArun M(2012)A distributed e-healthcare system for patient monitoring and diagnosis2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT)10.1109/ICACCCT.2012.6320744(71-77)Online publication date: Aug-2012
https://doi.org/10.1109/ICACCCT.2012.6320744
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Index Terms

Intelligent agents for patient monitoring and diagnostics
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems

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Reviews

Reviewer: Andrew Brooks

Clinicians can be overwhelmed by the amount of information that has to be interpreted within a very narrow time frame when treating emergency patients. This paper describes the architecture of an intelligent multiagent system for supporting patient monitoring and diagnostic tasks. Each agent performs a specialized task, making use of fuzzy logic, connection networks, statistical trend analysis, and qualitative logic methods. Agents are autonomous and mobile, and can collect and process patient data held at remote locations. One agent can call up another. A prototype was built, using the Kaariboga agent system (http://www.projectory.de/kaariboga/), to detect and treat hemorrhagic shock, focusing on fluid resuscitation and arterial blood gas stabilization. No verification or validation of the prototype, however, is reported, and only one example of screen output from the decision module is provided, based on simulated patient data. Parameters for several subsystems (for example, fuzzy membership functions) are described as currently being established through medical collaboration. Verification and validation, with actual patient data, is described as work to be carried out in the future. The paper suggests that mobile multiagent architectures provide an enabling backdrop for new medical technologies, and this may well turn out to be true. The work involved in incorporating knowledge into agents should not, however, be underestimated, and it would have been useful if this paper had addressed the role of data mining from national databases of health encounters in agent building. This paper is recommended to those with an interest in developing intelligent support systems for clinicians. Online Computing Reviews Service

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Information & Contributors

Information

Published In

SAC '03: Proceedings of the 2003 ACM symposium on Applied computing

March 2003

1268 pages

ISBN:1581136242

DOI:10.1145/952532

Conference Chair:
Gary B. Lamont
Air Force Institute of Technology
,
Program Chairs:
Hisham Haddad
Kennesaw State University
,
George A. Papadopoulos
University of Cyprus, Cyprus
,
Publications Chair:
Brajendra Panda
University of Arkansas

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 March 2003

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SAC03

Sponsor:

SIGAPP

SAC03: ACM Symposium on Applied Computing

March 9 - 12, 2003

Florida, Melbourne

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all

Subhedar MJadhav VTekade SPrajapati M(2018)A Real Time Healthcare Monitoring System Based on Open Source IoT and ANFIS2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)10.1109/ICCONS.2018.8663037(281-286)Online publication date: Jun-2018
https://doi.org/10.1109/ICCONS.2018.8663037
Ganesan SSankaranarayanan S(2016)Applications of Intelligent Agents in Health Sector-A ReviewInternational Journal of E-Health and Medical Communications10.4018/IJEHMC.20160101017:1(1-30)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.4018/IJEHMC.2016010101
Malmathanraj RArun M(2012)A distributed e-healthcare system for patient monitoring and diagnosis2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT)10.1109/ICACCCT.2012.6320744(71-77)Online publication date: Aug-2012
https://doi.org/10.1109/ICACCCT.2012.6320744
Varshney UVarshney U(2009)Wireless Health Monitoring: State of the ArtPervasive Healthcare Computing10.1007/978-1-4419-0215-3_6(119-146)Online publication date: 1-Apr-2009
https://doi.org/10.1007/978-1-4419-0215-3_6
Cooper RDicianno BBrewer BLoPresti EDing DSimpson RGrindle GWang H(2008)A perspective on intelligent devices and environments in medical rehabilitationMedical Engineering & Physics10.1016/j.medengphy.2008.09.00330:10(1387-1398)Online publication date: Dec-2008
https://doi.org/10.1016/j.medengphy.2008.09.003
Gatton TLee MKim TLee Y(2007)Diagnostic Knowledge Acquisition for Agent-Based Medical ApplicationsProceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications10.1007/978-3-540-72830-6_65(626-635)Online publication date: 31-May-2007
https://dl.acm.org/doi/10.1007/978-3-540-72830-6_65
Esterline AGandluri BSundaresan M(2005)Characterizing environmental information for monitoring agentsProceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems10.1007/11964995_7(74-85)Online publication date: 20-Sep-2005
https://dl.acm.org/doi/10.1007/11964995_7
Francisco J(undefined)Health Care Software Engineering: A Review of Selected LiteratureSSRN Electronic Journal10.2139/ssrn.607446
https://doi.org/10.2139/ssrn.607446

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An intelligent patient monitoring system

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