Springer Nature
Browse

Chinese Intelligence Prescription System improves prescription accuracy while decreasing labor and drug costs

Posted on 2024-08-13 - 16:33
Abstract Background and Aim The traditional method of taking Chinese Medicine involves creating a decoction by cooking medicinal Chinese herbs. However, this method has become less popular, being replaced by the more convenient method of consuming concentrated Chinese herbal extracts, which creates challenges related to the complexity of stacking multiple formulas. Methods We developed the Chinese Intelligence Prescription System (CIPS) to simplify the prescription process. In this study, we used data from our institutions pharmacy to calculate the number of reductions, average dispensing time, and resulting cost savings. Results The mean number of prescriptions was reduced from 8.19 ± 3.65 to 7.37 ± 3.34 ( $$p=2.46\;\times10^{-8}$$ p = 2.46 × 10 - 8 ). The reduction in the number of prescriptions directly resulted in decreased dispensing time, reducing it from 1.79 ± 0.25 to 1.63 ± 0.66 min ( $$p=1.88\;\times10^{-14}$$ p = 1.88 × 10 - 14 ). The reduced dispensing time totaled 3.75 h per month per pharmacist, equivalent to an annual labor cost savings of $15,488 NTD per pharmacist. In addition, drug loss was reduced during the prescription process, with a mean savings of $4,517 NTD per year. The combined savings adds up to a not insignificant $20,005 NTD per year per pharmacist. When taking all TCM clinics/hospitals in Taiwan into account, the total annual savings would be $77 million NTD. Conclusion CIPS assists clinicians and pharmacists to formulate precise prescriptions in a clinical setting to simplify the dispensing process while reducing medical resource waste and labor costs.

CITE THIS COLLECTION

DataCite
No result found
or
Select your citation style and then place your mouse over the citation text to select it.

SHARE

email

Usage metrics

BMC Health Services Research

AUTHORS (11)

Ting-Yu Huang
Wei-Te Huang
Yu-Chuan Lin
Hao-Hsiu Hung
Shi-Chen Ou
Chin-Wei Chang
Hung-En Lin
Ting-Yen Lin
Ching-Wen Chang
Hui-Chun Hung
Sheng-Teng Huang
need help?