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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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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.

Originele taal-2	Engels
Titel	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Redacteuren	Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1130-1134
Aantal pagina's	5
ISBN van elektronische versie	978-1-5386-5488-0
ISBN van geprinte versie	978-1-5386-5489-7
DOI's	https://doi.org/10.1109/BIBM.2018.8621133
Status	Gepubliceerd - 21 jan. 2019
Evenement	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spanje Duur: 3 dec. 2018 → 6 dec. 2018

Congres

Congres	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Land/Regio	Spanje
Stad	Madrid
Periode	3/12/18 → 6/12/18

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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 (editors), 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (blz. 1130-1134). Artikel 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. redacteur / 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. blz. 1130-1134

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title = "On accurate, automated and insightful deviation analysis of clinical protocols",

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",

year = "2019",

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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 (uitgave), 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018., 8621133, Institute of Electrical and Electronics Engineers, Piscataway, blz. 1130-1134, 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spanje, 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. uitgave / 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. blz. 1130-1134 8621133.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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T1 - On accurate, automated and insightful deviation analysis of clinical protocols

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 - Dickerson, Julie

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, redacteurs, 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Piscataway: Institute of Electrical and Electronics Engineers. 2019. blz. 1130-1134. 8621133 doi: 10.1109/BIBM.2018.8621133

On accurate, automated and insightful deviation analysis of clinical protocols

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