On accurate, automated and insightful deviation analysis of clinical protocols

Hui Yan; Xudong Lu; Pieter van Gorp; Serge J.H. Heines; Shan Nan; Walther van Mook; Dennis Bergmans; Uzay Kaymak; Huilong Duan

doi:10.1109/BIBM.2018.8621133

On accurate, automated and insightful deviation analysis of clinical protocols

Hui Yan, Xudong Lu, Pieter van Gorp, Serge J.H. Heines, Shan Nan, Walther van Mook, Dennis Bergmans, Uzay Kaymak, Huilong Duan

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

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Abstract

Clinical guidelines, pathways and protocols are introduced to standardize and provide best-practice care. Analyzing deviations of actual care against the documented best practices is useful to find opportunities for complying better in the future. Prior work demonstrates that deviation analyses should be accurate, automated and insightful but only few studies manage to satisfy all three intentions. In this paper, we manage to reconcile accuracy with automation and insightfulness by combining the previously disconnected steps of checking and mining in compliance analysis software. Results are achieved using an algorithm that consists of three steps. We demonstrate the effectiveness of the algorithm via a real-life case from the intensive care unit of a Dutch hospital.

Original language	English
Title of host publication	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Editors	Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1130-1134
Number of pages	5
ISBN (Electronic)	978-1-5386-5488-0
ISBN (Print)	978-1-5386-5489-7
DOIs	https://doi.org/10.1109/BIBM.2018.8621133
Publication status	Published - 21 Jan 2019
Event	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain Duration: 3 Dec 2018 → 6 Dec 2018

Conference

Conference	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Country/Territory	Spain
City	Madrid
Period	3/12/18 → 6/12/18

Keywords

Clinical protocol
deviation
mining
pathway
redesign

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10.1109/BIBM.2018.8621133

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Yan, H., Lu, X., van Gorp, P., Heines, S. J. H., Nan, S., van Mook, W., Bergmans, D., Kaymak, U., & Duan, H. (2019). On accurate, automated and insightful deviation analysis of clinical protocols. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (Eds.), 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (pp. 1130-1134). Article 8621133 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BIBM.2018.8621133

Yan, Hui ; Lu, Xudong ; van Gorp, Pieter et al. / On accurate, automated and insightful deviation analysis of clinical protocols. 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. editor / Harald Schmidt ; David Griol ; Haiying Wang ; Jan Baumbach ; Huiru Zheng ; Zoraida Callejas ; Xiaohua Hu ; Julie Dickerson ; Le Zhang. Piscataway : Institute of Electrical and Electronics Engineers, 2019. pp. 1130-1134

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abstract = "Clinical guidelines, pathways and protocols are introduced to standardize and provide best-practice care. Analyzing deviations of actual care against the documented best practices is useful to find opportunities for complying better in the future. Prior work demonstrates that deviation analyses should be accurate, automated and insightful but only few studies manage to satisfy all three intentions. In this paper, we manage to reconcile accuracy with automation and insightfulness by combining the previously disconnected steps of checking and mining in compliance analysis software. Results are achieved using an algorithm that consists of three steps. We demonstrate the effectiveness of the algorithm via a real-life case from the intensive care unit of a Dutch hospital.",

keywords = "Clinical protocol, deviation, mining, pathway, redesign",

author = "Hui Yan and Xudong Lu and {van Gorp}, Pieter and Heines, {Serge J.H.} and Shan Nan and {van Mook}, Walther and Dennis Bergmans and Uzay Kaymak and Huilong Duan",

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doi = "10.1109/BIBM.2018.8621133",

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booktitle = "2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018",

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Yan, H, Lu, X, van Gorp, P, Heines, SJH, Nan, S, van Mook, W, Bergmans, D, Kaymak, U & Duan, H 2019, On accurate, automated and insightful deviation analysis of clinical protocols. in H Schmidt, D Griol, H Wang, J Baumbach, H Zheng, Z Callejas, X Hu, J Dickerson & L Zhang (eds), 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018., 8621133, Institute of Electrical and Electronics Engineers, Piscataway, pp. 1130-1134, 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, 3/12/18. https://doi.org/10.1109/BIBM.2018.8621133

On accurate, automated and insightful deviation analysis of clinical protocols. / Yan, Hui; Lu, Xudong; van Gorp, Pieter et al.
2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. ed. / Harald Schmidt; David Griol; Haiying Wang; Jan Baumbach; Huiru Zheng; Zoraida Callejas; Xiaohua Hu; Julie Dickerson; Le Zhang. Piscataway: Institute of Electrical and Electronics Engineers, 2019. p. 1130-1134 8621133.

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

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AU - Yan, Hui

AU - Lu, Xudong

AU - van Gorp, Pieter

AU - Heines, Serge J.H.

AU - Nan, Shan

AU - van Mook, Walther

AU - Bergmans, Dennis

AU - Kaymak, Uzay

AU - Duan, Huilong

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AB - Clinical guidelines, pathways and protocols are introduced to standardize and provide best-practice care. Analyzing deviations of actual care against the documented best practices is useful to find opportunities for complying better in the future. Prior work demonstrates that deviation analyses should be accurate, automated and insightful but only few studies manage to satisfy all three intentions. In this paper, we manage to reconcile accuracy with automation and insightfulness by combining the previously disconnected steps of checking and mining in compliance analysis software. Results are achieved using an algorithm that consists of three steps. We demonstrate the effectiveness of the algorithm via a real-life case from the intensive care unit of a Dutch hospital.

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A2 - Zhang, Le

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ER -

Yan H, Lu X, van Gorp P, Heines SJH, Nan S, van Mook W et al. On accurate, automated and insightful deviation analysis of clinical protocols. In Schmidt H, Griol D, Wang H, Baumbach J, Zheng H, Callejas Z, Hu X, Dickerson J, Zhang L, editors, 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Piscataway: Institute of Electrical and Electronics Engineers. 2019. p. 1130-1134. 8621133 doi: 10.1109/BIBM.2018.8621133

On accurate, automated and insightful deviation analysis of clinical protocols

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