Abstract
At present, the research and application of artificial intelligence technology in the field of traditional Chinese medicine has become one of the important methods of modern inheritance strategy of traditional Chinese medicine. In this paper, under the background of artificial intelligence, the application of automatic dispensing technology of traditional Chinese medicine formula granules in pharmacy is studied. In this paper, two hospitals in a city were compared. Hospital a was the control group, and hospital B was the experimental group. Through experimental observation and data collection, it was found that the data of hospital B pharmacy using artificial intelligence automatic dispensing technology was better than that of hospital A in all aspects during the experiment. During the experiment, hospital A pharmacy processed 1056 prescriptions in total, which took 2110 min, and the experimental evaluation was 80 points, while hospital B pharmacy processed 1056 prescriptions During the experiment, 2317 prescriptions were processed in our hospital, which took 1853 min, and the experimental evaluation was 98 points. Moreover, the data of pharmacy of hospital B in dispensing accuracy, storage environment, drug control and other aspects were better than that of hospital A.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, J., Sun, S., Zhou, Q.: Direct and model-free detection of carbohydrate excipients in traditional Chinese medicine formula granules by ATR-FTIR microspectroscopic imaging. Anal. Bioanal. Chem. 409(11), 2893–2904 (2017)
Xiaodong, L., Peng, W., Zhe, L., et al.: Evaluation of a granulated formula for the nerve root type and vertebral artery type of cervical spondylosis: a multicenter, single-blind, randomized, controlled, phase III clinical trial. J. Trad. Chin. Med. 37(2), 193–200 (2017)
Cao, X.J., Huang, X.C., Wang, X.: Effectiveness of Chinese herbal medicine granules and traditional Chinese medicine–based psychotherapy for perimenopausal depression in Chinese women: a randomized controlled trial. Menopause 26(10), 1 (2019)
Yang, H., Liu, J.X., Shang, H.X., Lin, S., Zhao, J.Y., Lin, J.: Qingjie Fuzheng granules inhibit colorectal cancer cell growth by the PI3K/AKT and ERK pathways. World J. Gastrointest. Oncol. 11(05), 33–48 (2019)
Peng, W., Zhe, L., De, L., Feng, H., Jinwen, L., Xinyu, C., Huajian, Z.: Evaluation of a granulated formula for the nerve root type and vertebral artery type of cervical spondylosis:a multicenter, single-blind, randomized, controlled, phase III clinical trial. J. Trad. Chin. Med. 37(02), 51–58 (2017)
Zhang, H., Chen, Y., Wang, J.N., et al.: Application of fingerprint technology in quality evaluation and process control of traditional Chinese medicine formula granules. China J. Chin. Materia Medica 43(19), 3822–3827 (2018)
Kohl, S.: European directorate for the quality of medicines: automatic drugs dispensing report. Eur. J. Hosp. Pharm. 25(3), 169–172 (2018)
Hamon, M., Capelle, F., Passemard, R., et al.: Assessment of an online training tool for the automated unit-dose dispensing system (ADS) process. Pharm. Technol. Hosp. Pharm. 4(1), 41–46 (2019)
Deng, Z., Zhang, J., He, T.: Automatic combination technology of fuzzy CPN for OWL-S web services in supercomputing cloud platform. Int. J. Pattern Recogn. Artif. Intell. 31(7), 1759010.1–1759010.27 (2017)
Ge, Y., Ploetner, M., Berndt, A., et al.: All-printed capacitors with continuous solution dispensing technology. Semicond. Sci. Technol. 32(9), 095012.1–095012.6 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, W. (2021). Automatic Dispensing Technology of Traditional Chinese Medicine Formula Granules in Pharmacy Under the Background of Artificial Intelligence. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_83
Download citation
DOI: https://doi.org/10.1007/978-3-030-62746-1_83
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62745-4
Online ISBN: 978-3-030-62746-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)