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At Home Genetic Testing Business Process Management Platform

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Health Information Science (HIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11837))

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Abstract

At home genetic testing is currently accepted by a lot of people in many countries, and statistical data show that, currently, at home genetic testing has more than 26, 000, 000 customers all over the world. Generally, the business process for at home genetic testing is: after a user’s order, a saliva collection kit will be sent to the user, the user should split saliva to a specific saliva collection tube and send the kit back to laboratory, then the laboratory will extract the DNA from the saliva, and sequence the DNA using next generation sequencing equipment or micro-array platform, the generated DNA sequencing data will be analyzed and genetically interpreted, finally, a genetic report will be sent to the user. To handle millions of samples in a year requires a scalable, robust, parallel, and easy to use business process management system to satisfy the external customer service and internal sample track and management requirement. In this paper, we first describe the detail business process of at home genetic testing, then based on our best practice, using spring cloud, spring boot, and microservices, we give the design and implementation of a business process management platform to support at home genetic testing business. The platform is flexible that supports both the business to business service as well as the business to customer service.

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Acknowledgment

This work was partially supported by the Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (19YJ040010, 17YJ0302, 15YJ030001, 18YJ030006)

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Correspondence to Jitao Yang .

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Yang, J. (2019). At Home Genetic Testing Business Process Management Platform. In: Wang, H., Siuly, S., Zhou, R., Martin-Sanchez, F., Zhang, Y., Huang, Z. (eds) Health Information Science. HIS 2019. Lecture Notes in Computer Science(), vol 11837. Springer, Cham. https://doi.org/10.1007/978-3-030-32962-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-32962-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32961-7

  • Online ISBN: 978-3-030-32962-4

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