ABSTRACT
The quality evaluation of traditional Chinese medicine is one of the key issues related to the modernization of traditional Chinese medicine. The quality evaluation technology system of traditional Chinese medicine mainly includes traditional evaluation (traits, microscopic and physicochemical identification), chemical evaluation and biological evaluation. Due to the complex composition of traditional Chinese medicine, the single detection method in the above evaluation technology system usually cannot obtain sufficient quality information. The multi-source information fusion strategy can organically integrate data from multiple analysis and detection technologies to obtain more comprehensive information of samples and improve the quality evaluation effect. At present, multi-source information fusion strategy has been widely used in the fields of military, industrial and food, and it is still in its infancy in the field of quality evaluation of traditional Chinese medicine. This research introduces the definition, structure, method (algorithm) and fusion level of multi-source information fusion, summarizes its research progress in the origin traceability, variety identification and pharmaceutical analysis of traditional Chinese medicine, and sorts out the specific methods of data fusion in each literature. Finally, we summarized, prospected and discussed the application, development and existing problems of information fusion technology and its application in the quality evaluation of traditional Chinese medicine, in order to provide reference for broadening the application of this technology in the field of traditional Chinese medicine.
ABSTRACT
Smart manufacturing still remains critical challenges for pharmaceutical manufacturing. Here, an original data-driven engineering framework was proposed to tackle the challenges. Firstly, from sporadic indicators to five kinds of systematic quality characteristics, nearly 2,000,000 real-world data points were successively characterized from Ginkgo Folium tablet manufacturing. Then, from simplex to the multivariate system, the digital process capability diagnosis strategy was proposed by multivariate Cpk integrated Bootstrap-t. The Cpk of Ginkgo Folium extracts, granules, and tablets were discovered, which was 0.59, 0.42, and 0.78, respectively, indicating a relatively weak process capability, especially in granulating. Furthermore, the quality traceability was discovered from unit to end-to-end analysis, which decreased from 2.17 to 1.73. This further proved that attention should be paid to granulating to improve the quality characteristic. In conclusion, this paper provided a data-driven engineering strategy empowering industrial innovation to face the challenge of smart pharmaceutical manufacturing.
ABSTRACT
Chinese materia medica (CMM) is a complex system, which has characteristics of multiple components, diversity efficacy, and unpredictable relation among components, etc. Thus, constructing the quality evaluation and quality control model based on multi-disciplinary and multi-source information fusion is an innovative research idea for quality standards of CMM. The quality control system should been fully established to cover quality integrity and efficacy specificity of CMM based on the core concept of quality marker. Traditional quality assessment methods based on characteristic feature, chemical analysis including multiple chemical components and elementary substances, and biological evaluation were integrated by data fusion methods in this system. The correlation of the organic and elemental components with the specific effects should be established in order to verify the material basis. Finally, the Q-markers (including potential elemental Q-markers) with unique characteristics relevant to specific effect were analyzed and defined. The integrated quality indexes of Q-markers relevant to specific effect were calculated. This proposed integrated quality control system based on multi-source information fusion methods would enrich and perfect the quality evaluation of CMM.
ABSTRACT
Objective: The potency of multi-source information fusion technology was explored to improve the model calibration and prediction performance of Chinese medicine extraction process. Methods: The ethanol extraction process for isolating fat-soluble components from Salvia miltiorrhiza was taken as the research carrier. S. miltiorrhiza from different sources were collected to simulate the fluctuation of materials. The changes of process parameters were simulated by design of experimental (DOE), and the process near infrared spectra (NIRS) were used as the process state variables. The contents of tanshinone IIA, cryptotanshinone, and tanshinone I were determined by HPLC. The raw material properties, process parameters and process state variables were combined as independent variables. The content of effective components in the extract was taken as the dependent variable. The partial least squares (PLS) algorithm was used to establish the quality prediction model of the extracts. Results: The modeling results respectively showed that the RMSECV was 0.172 8 mg/g, RMSEP was 0.031 7 mg/g, RPD was 6.91 (tanshinone IIA); RMSECV was 0.153 4 mg/g, RMSEP was 0.024 2 mg/g, RPD was 4.02 (cryptotanshinone); RMSECV was 0.117 1 mg/g, RMSEP was 0.043 2 mg/g, RPD was 4.76 (tanshinone I). Conclusion: The calibration and prediction performance of multi-source information fusion model are better than the conventional model, which can effectively improve the quality predictability and controllability of S. miltiorrhiza extract.
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Objective:To establish a complete set of EMPI system and service, resolve the problems of Patient information is inconsistent and medical data difficult to share.Methods: After analysis patient basic information management module of business systems, Propose a solution of “using IHE ITI-PIX V3 to build EMPI”.Result: By establishing master patient index and provide services to each system to be called, has realized the patients basic information integration, and on this basis to realize Hospital-wide electronic medical records.Conclusion:Without change the original business system, through the pix implementation master patient index associated with patient's id in each business system, meet the needs of patient information sharing.
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Objective:To create hospital data fusion centers to solve the problems involving data incompatibility between business system and administration system and incomplete data-sharing service.Methods:The needs for hospital data fusion center were analyzed, and the protocol design for creating hospital data fusion center was put forward according to the needs.Results:The protocol design for creating hospital data fusion center facilitates the specific methods of promoting hospital data fusion.Conclusion: The protocol design for creating hospital data fusion center may promote in-and out-hospital data-sharing service and comprehensive data utilization, so as to improve hospital information utilization.
ABSTRACT
Objective To evaluate the important role of information collection,exchange,and analysis in the management of healthcare-associated infection(HAI),and demonstrate the characteristics of HAI management plat-form.Methods Role of HAI management platform was demonstrated according to information fusion theory,the monitoring level ,feature level and decision level information fusion method,as well as examples and data of interna-tional/domestic and historical comparison.Results HAI management committee as a platform,and HAI manage-ment departments as the fusion system of information analysis and process department is the foundation of HAI management.Conclusion HAI monitoring system should be strengthened,multi-disciplinary integration should be developed,and HAI committee decision coordination platform should be intensified.
ABSTRACT
This paper was aimed to discuss the application of content management system (CMS) Drupal in Chinese medicine information fusion. The modular functionality, scalability and strong management capabilities of Drupal can effectively manage and reasonably present information resources of Chinese medicine, which extended the application of Chinese medicine information fusion. Regarding CMS Drupal as the carrier of Chinese medicine information fusion, the Chinese medicine information fusion method can be used in the collection, organization and demonstration of Chinese medicine information in the platform. As one of network tools for Chinese medicine information fusion, Dru-pal will play its powerful function in content management and information publishing with the virtual technology. It will also enrich Chinese medicine information fusion, and promote the spread of Chinese medicine knowledge.