Analysis of multi-patient rapid response processes: An iterative approach

Xiaolei Xie; Zexian Zeng; Jingshan Li; Colleen H. Swartz; Paul Depriest

doi:10.1109/CoASE.2015.7294169

Analysis of multi-patient rapid response processes: An iterative approach

Xiaolei Xie
, Zexian Zeng
, Jingshan Li
, Colleen H. Swartz
, Paul Depriest

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

In acute care, providers need to response quickly to patients deterioration. However, a physician's availability can be limited if multiple patients are declining simultaneously. To study the multi-patient rapid response process, a complex network model with split, merge and parallel structures is introduced, and iteration procedures are presented to evaluate system performance. It is shown that such procedures are convergent and lead to accurate performance evaluation. © 2015 IEEE.

Original language	English
Title of host publication	2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015
Publisher	IEEE Computer Society
Pages	740-745
Volume	2015-October
ISBN (Print)	9781467381833
DOIs	https://doi.org/10.1109/CoASE.2015.7294169
Publication status	Published - 7 Oct 2015
Externally published	Yes
Event	11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden Duration: 24 Aug 2015 → 28 Aug 2015

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2015-October
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Place	Sweden
City	Gothenburg
Period	24/08/15 → 28/08/15

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work is supported in part by NSF Grants No. CMMI-1233807 and 1234636 and the BeiJing Talents Fund Grant 2014000020124G118 of China.

Research Keywords

decision time
iterations
patient deterioration
provider availability
Rapid response

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10.1109/CoASE.2015.7294169

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Xie, X., Zeng, Z., Li, J., Swartz, C. H., & Depriest, P. (2015). Analysis of multi-patient rapid response processes: An iterative approach. In 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015 (Vol. 2015-October, pp. 740-745). Article 7294169 (IEEE International Conference on Automation Science and Engineering; Vol. 2015-October). IEEE Computer Society. https://doi.org/10.1109/CoASE.2015.7294169

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keywords = "decision time, iterations, patient deterioration, provider availability, Rapid response",

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Xie, X, Zeng, Z, Li, J, Swartz, CH & Depriest, P 2015, Analysis of multi-patient rapid response processes: An iterative approach. in 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. vol. 2015-October, 7294169, IEEE International Conference on Automation Science and Engineering, vol. 2015-October, IEEE Computer Society, pp. 740-745, 11th IEEE International Conference on Automation Science and Engineering, CASE 2015, Gothenburg, Sweden, 24/08/15. https://doi.org/10.1109/CoASE.2015.7294169

Analysis of multi-patient rapid response processes: An iterative approach. / Xie, Xiaolei; Zeng, Zexian; Li, Jingshan et al.
2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. Vol. 2015-October IEEE Computer Society, 2015. p. 740-745 7294169 (IEEE International Conference on Automation Science and Engineering; Vol. 2015-October).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

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AU - Zeng, Zexian

AU - Li, Jingshan

AU - Swartz, Colleen H.

AU - Depriest, Paul

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2015/10/7

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AB - In acute care, providers need to response quickly to patients deterioration. However, a physician's availability can be limited if multiple patients are declining simultaneously. To study the multi-patient rapid response process, a complex network model with split, merge and parallel structures is introduced, and iteration procedures are presented to evaluate system performance. It is shown that such procedures are convergent and lead to accurate performance evaluation. © 2015 IEEE.

KW - decision time

KW - iterations

KW - patient deterioration

KW - provider availability

KW - Rapid response

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SN - 9781467381833

VL - 2015-October

T3 - IEEE International Conference on Automation Science and Engineering

SP - 740

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ER -

Xie X, Zeng Z, Li J, Swartz CH, Depriest P. Analysis of multi-patient rapid response processes: An iterative approach. In 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. Vol. 2015-October. IEEE Computer Society. 2015. p. 740-745. 7294169. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/CoASE.2015.7294169

Analysis of multi-patient rapid response processes: An iterative approach

Abstract

Publication series

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Bibliographical note

Funding

Research Keywords

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