Abstract
With the national emphasis on traditional Chinese medicine treatments and the development of the modern Internet, people are increasingly showing a strong interest in traditional Chinese medicine, leading to the transformation of traditional Chinese medicine enterprises. The optimisation and innovation of the traditional Chinese medicine pharmacy service has become a hot topic. Therefore, this study combines the advantages of traditional Chinese medicine with Internet technology to build a smart health-oriented traditional Chinese medicine pharmacy intelligent service platform. It integrates hospitals, pharmacies, drug decoction centres, distribution centres and other resources, and forms a traditional Chinese medicine decoction, distribution and traceability system. The system realises the informatisation, automation and standardisation of traditional Chinese medicine pharmacy services. In this study, the platform is implemented using the Internet of Things and the Internet in Nanjing Pharmaceutical Co., Ltd. to provide patients with standard modern drug decoction and distribution services, and to monitor and manage the decoction, distribution and traceability processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xu, Y.F., Wang, L.X.: Discussion on the pharmacy service under the background of new medical reform. World Latest Med. Inf. 17(29), 99–100 (2017)
Chang, F., Xia, Y.R., Lu, Y., et al.: Development and enlightenment of pharmaceutical service system in Taiwan. Health Econ. Res. 34(10), 52–55 (2017)
Lv, Y.Q., Huang, Y.H., Liu, Y.K.: Design of traditional Chinese medicine decoction information management system. China Digital Med. 9(06), 52–54 (2014)
Yu, K.B.: How to Improve the Quality of traditional Chinese medicine decoction of basic level hospital. China Health Ind. 16(03), 20–22 (2019)
Luo, Y., Wang, X.Q., Chen, C., et al.: Application of traditional Chinese medicine decoction and distribution system based on internet of things. Electron. Technol. Software Eng. 8(01), 254–255 (2019)
Yu, C., Liu, H.L.: Research and development of information platform based on distribution and quality control of traditional Chinese medicine decoction pieces. China Med. Educ. Technol. 30(01), 98–100 (2016)
Cai, Y., Li, X.W., Ni, J.Y., et al.: Traditional Chinese medicine quality traceability system based on two-dimensional code. J. Chinese Med. Mater. 39(2), 275 (2016)
Zhang, C.P., Li, S.X.: Design of traditional Chinese medicine material traceability system based on RFID. J. Sanming Univ. 32(4), 65 (2015)
Wang, Z.M., Jing, S.Q., Gu, M.: Design and implementation of pharmaceutical service information platform. China Digit. Med. 9(02), 5–7 (2014)
Wang, X.M., Shi, Y.: Discussion on the key issues of traditional Chinese medicine outsourcing and decoction in medical institutions. J. Tradit. Chinese Med. Manage. 24(07), 3–5 (2016)
Wu, L.R., Lin, J., Liu, Y.Z., et al.: Regional collaborative distribution method based on vehicle delivery route. Comput. Eng. Appl. 54(24), 7 (2018)
Tao, D.H., Liu, R., Lei, Y.J., et al.: Optimization of cold chain logistics distribution routing based on green supply chain. Industrial Eng. J. 22(02), 89–95 (2019)
Yao, Y.G., He, S.Y.: Research on optimization of agricultural cold chain logistics distribution routing based on traffic big data. Manage. Rev. 31(04), 240–253 (2019)
Wang, J.M., Zhou, Q.S., Jin, L.J., et al.: Reconstruction of traditional Chinese medicine pharmacy service based on WeChat official accounts. China Digit. Med. 11(12), 92–94 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Hua, L., Ma, Y., Meng, X., Xu, B., Qi, J. (2019). A Smart Health-Oriented Traditional Chinese Medicine Pharmacy Intelligent Service 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_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-32962-4_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32961-7
Online ISBN: 978-3-030-32962-4
eBook Packages: Computer ScienceComputer Science (R0)