Construction of pediatric pharmaceutical care cloud platform based on Western Pediatric Development Union
- VernacularTitle:基于西部儿科发展联盟的儿科药学服务云平台构建
- Author:
Guo LI
1
;
Xiaoqin LU
2
;
Zhi DONG
3
Author Information
1. Dept. of Personnel，Children’s Hospital of Chongqing Medical University，Chongqing 401122，China
2. Dept. of Pharmacy，the Ninth People’s Hospital of Chongqing，Chongqing 400799，China
3. College of Pharmacy，Chongqing Medical University，Chongqing 400016，China
- Publication Type:Journal Article
- Keywords:
pediatrics;
development alliance;
pharmaceutical care;
cloud platform
- From:
China Pharmacy
2024;35(8):1001-1005
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To explore the construction of a pediatric pharmaceutical care cloud platform based on Western Pediatric Development Union， to provide a reference for narrowing the difference of pediatric pharmaceutical care in western regions and medical institutions. METHODS Based on the Western Pediatric Development Union， the “1+3+3” pediatric pharmaceutical care cloud platform had been built by relying on the alliance telemedicine service network. That was， with Children’s Hospital of Chongqing Medical University as one center， three core pharmaceutical services， including prescription dispensing， pharmaceutical guidance and health education， were carried out in the union through standardized 3 aspects of management of resource information， service process and component interface. RESULTS & CONCLUSIONS Established “1+3+ 3” pediatric pharmaceutical care cloud platform based on the remote service network of the Western Pediatric Development Union registered 1 208 thousands registrations since its operation， with 112 thousands online prescriptions and 44 thousands circulation prescriptions completed； the total number of medication consultation cases was 10 694， and the number of online training people exceeded 15 thousands. However， during the operation， there are also problems such as limited clinical medication data and insufficient coverage of the region. With the accumulation of clinical medication data on the platform， the artificial intelligence technology will be used to extract the data of prescriptions， medication behavior， and physical indicators after medication， the correlation analysis of data will be conducted under the conditions of different geographical environments， different age groups， different heights and weights in the region to obtain clinical medication characteristics for children in the region， providing decision support for further guiding rational and safe medication in pediatric clinical practice.
