Use runtime verification to improve the quality of medical care practice

Y. Jiang, H. Liu, H. Kong, R. Wang, M. Hosseini, J. Sun, L. Sha, in:, Proceedings of the 38th International Conference on Software Engineering Companion , IEEE, 2016, pp. 112–121.

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Conference Paper | Published | English
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Department
Series Title
Proceedings International Conference on Software Engineering
Abstract
Clinical guidelines and decision support systems (DSS) play an important role in daily practices of medicine. Many text-based guidelines have been encoded for work-flow simulation of DSS to automate health care. During the collaboration with Carle hospital to develop a DSS, we identify that, for some complex and life-critical diseases, it is highly desirable to automatically rigorously verify some complex temporal properties in guidelines, which brings new challenges to current simulation based DSS with limited support of automatical formal verification and real-time data analysis. In this paper, we conduct the first study on applying runtime verification to cooperate with current DSS based on real-time data. Within the proposed technique, a user-friendly domain specific language, named DRTV, is designed to specify vital real-time data sampled by medical devices and temporal properties originated from clinical guidelines. Some interfaces are developed for data acquisition and communication. Then, for medical practice scenarios described in DRTV model, we will automatically generate event sequences and runtime property verifier automata. If a temporal property violates, real-time warnings will be produced by the formal verifier and passed to medical DSS. We have used DRTV to specify different kinds of medical care scenarios, and applied the proposed technique to assist existing DSS. As presented in experiment results, in terms of warning detection, it outperforms the only use of DSS or human inspection, and improves the quality of clinical health care of hospital
Publishing Year
Date Published
2016-05-14
Proceedings Title
Proceedings of the 38th International Conference on Software Engineering Companion
Acknowledgement
This work is supported by NSF CNS 13-30077, NSF CNS 13-29886, NSF CNS 15-45002, and NSFC 61303014. The authors thank Dr. Bobby and Dr. Hill at Carle Hospital, Urbana, IL for their help with the discussion on medical knowledge.
Page
112 - 121
Conference
ICSE: International Conference on Software Engineering
Conference Location
Austin, TX, USA
Conference Date
2016-05-14 – 2016-05-22
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Jiang Y, Liu H, Kong H, et al. Use runtime verification to improve the quality of medical care practice. In: Proceedings of the 38th International Conference on Software Engineering Companion . IEEE; 2016:112-121. doi:10.1145/2889160.2889233
Jiang, Y., Liu, H., Kong, H., Wang, R., Hosseini, M., Sun, J., & Sha, L. (2016). Use runtime verification to improve the quality of medical care practice. In Proceedings of the 38th International Conference on Software Engineering Companion (pp. 112–121). Austin, TX, USA: IEEE. https://doi.org/10.1145/2889160.2889233
Jiang, Yu, Han Liu, Hui Kong, Rui Wang, Mohamad Hosseini, Jiaguang Sun, and Lui Sha. “Use Runtime Verification to Improve the Quality of Medical Care Practice.” In Proceedings of the 38th International Conference on Software Engineering Companion , 112–21. IEEE, 2016. https://doi.org/10.1145/2889160.2889233.
Y. Jiang et al., “Use runtime verification to improve the quality of medical care practice,” in Proceedings of the 38th International Conference on Software Engineering Companion , Austin, TX, USA, 2016, pp. 112–121.
Jiang Y, Liu H, Kong H, Wang R, Hosseini M, Sun J, Sha L. 2016. Use runtime verification to improve the quality of medical care practice. Proceedings of the 38th International Conference on Software Engineering Companion . ICSE: International Conference on Software Engineering, Proceedings International Conference on Software Engineering, 112–121.
Jiang, Yu, et al. “Use Runtime Verification to Improve the Quality of Medical Care Practice.” Proceedings of the 38th International Conference on Software Engineering Companion , IEEE, 2016, pp. 112–21, doi:10.1145/2889160.2889233.

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