Health poverty alleviation is an important practice in implementing the basic strategy of precision poverty alleviation. It is also an important measure to win the battle against poverty in rural areas. Through the investigation of local medical and health conditions, West China Hospital of Sichuan University built a demand-oriented framework for medical poverty alleviation in Ganzi Prefecture, and gradually carried out precision top-level design, discipline construction, technical training, talent training, endemic disease prevention and control; through establishinga regional medical cooperation network, built featured specialies, built the backbone of medical and health forces, achieved the prevention of endemic diseases throughout life cycle, and improved the overall medical and health service capacity of Ganzi Prefecture. This article introduces the exploration and practice of the demand-oriented model in Ganzi Prefecture by West China Hospital of Sichuan University, aiming at providing a guide for the precision health poverty alleviation in China.
Objective
To explore the predicted precision of discharged patients number using curve estimation combined with trend-season model.
Methods
Curve estimation and trend-season model were both applied, and the quarterly number of discharged patients of 363 hospital from 2009 to 2015 was collected and analyzed in order to predict discharged patients in 2016. Relative error between predicted value and actual number was also calculated.
Results
An optimal quadratic regression equation Yt=3 006.050 1+202.350 8×t–3.544 4×t2 was established (Coefficient of determination R2=0.927, P<0.001), and a total of 23 462 discharged patients were predicted based on this equation combined with trend-season model, with a relative error of 1.79% compared to the actual number.
Conclusion
The curve estimation combined with trend-season model is a convenient and visual tool for predicting analysis. It has a high predicted accuracy in predicting the number of hospital discharged patients or outpatients, which can provide a reference basis for hospital operation and management.
ObjectiveTo summarize current patient-derived organoids as preclinical cancer models, and its potential clinical application prospects.
MethodsCurrent patient-derived organoids as preclinical cancer models were reviewed according to the results searched from PubMed database. In addition, how cancer-derived human tumor organoids of pancreatic cancer could facilitate the precision cancer medicine were discussed.
ResultsThe cancer-derived human tumor organoids show great promise as a tool for precision medicine of pancreatic cancer, with potential applications for oncogene modeling, gene discovery and chemosensitivity studies.
ConclusionThe cancer-derived human tumor organoids can be used as a tool for precision medicine of pancreatic cancer.
Mixed reality technology is new digital holographic imaging technology that generates three-dimensional simulation images through computers and anchors the virtual images to the real world. Compared with traditional imaging diagnosis and treatment methods, mixed reality technology is more conducive to the advantages of precision medicine, helps to promote the development of medical clinical application, teaching and scientific research in the field of orthopedics, and will further promote the progress of clinical orthopedics toward standardization, digitization and precision. This article briefly introduces the mixed reality technology, reviews its application in the perioperative period, teaching and diagnosis and treatment standardization and dataization in the field of orthopedics, and discusses its technical advantages, aiming to provide a reference for the better use of mixed reality technology in orthopedics.
By analyzing the current situation and problems of China’s precision healthy poverty alleviation, combining the current situation of poverty alleviation areas and its own clinical and regional advantages, West China Hospital of Sichuan University explores a practical “West China Way” to solve the healthy poverty problem. We insist on demand orientation, build the top-level design, and implement precise policies. Starting with the promotion of health screening, we actualizes hospital management, multi-disciplinary collaboration, integrated medical care construction according to regional needs, “double-group” style assistance, stratified and graded training, and telemedicine education. As the combination of “transfusion” and “hematopoiesis”, we help the local areas to build modern systems of hospital management, technology, and human resource.
Basing on development of medical model, new national diagnostic standard is interpreted according to three aspects: classification, diagnostic standard, and diagnostic contents. Tracheobronchial tuberculosis and tuberculous pleurisy are added into the classification. The value of molecular and pathological techniques for diagnosis of the pulmonary tuberculosis is emphasized. The status of drug-resistance is included in the diagnostic content. Two opinions are suggested: some practical methods such as diagnostic chemotherapy are indicated in some grassroots areas, while new molecular techniques for detection of DNA/RNA of mycobacteria and resistant mutation are encouraged in some suitable institutions.
Tuberculosis (TB) is one of the major public health concerns worldwide. Since the development of precision medicine, the filed regarding TB control and prevention has been brought into the era of precision medicine. Although great progress has been achieved in the accurate diagnosis, treatment and management of TB patients, we have to face several challenges. We should seize the opportunity, and develop and improve novel measures in TB prevention on the basis of precision medicine. The accurate diagnosis criteria, treatment regimen and management of TB patients should be carried out according to the standard of precision medicine. We aim to improve the treatment of TB patients and prevent the transmission of TB in the community, thereby contributing to the achievement of the End TB Strategy by 2035.
ObjectiveTo evaluate the complete blood count performance quality of Sysmex-XN automatic hematology analyzer.
MethodsWe investigated the precision rate, residual contamination rate, analytic linearity range, and background counting of Sysmex-XN-B3 analyzer.
ResultsThe inner and inter-group precision test showed that the inaccuracy of the analyzer was lower than the allowable standard of 1/4 (CLIA'88). The highest level of residual contamination rate was 0.12%, lower than the standard of manufacturer (≤1%). Linearity evaluation showed that the white blood cell count analytic linear range was from 0.51×109/L to 393.40×109/L, the red blood cell count analytic linear range was from 0.51×1012/L to 8.15×1012/L, the hemoglobin analytic linear range from 15.0 g/L to 244.5 g/L, and the platelet count analytic linear range was from 3.0×109/L to 2 072.5×109/L. Background counting was also lower than the standard of manufacturer. Comparison between the two different series of analyzers showed that the inaccuracy rate of Sysmex-XN-B3 was not only lower than the standard of National Center for Clinical Laboratories, but also lower than the standard of 1/2 (CLIA'88).
ConclusionSysmex-XN automatic hematology analyzer has a high performance in capability evaluation. It is an excellent tool for routine hematologic blood examination.
Precision medicine is a novel medical modality based on genome sequencing, bioinformatics and big data science. The studies regarding tuberculosis always concentrated on the bacteria and host in the setting of precision medicine. This review mainly introduces the application of precision medicine in the diagnosis and treatment of tuberculosis. The limits of the Chinese studies with respect to precision medicine in tuberculosis are also discussed. Moreover, the article predicates its future development.
The prevention and control of hospital infection should be precise. Otherwise, a lot of medical resources will be wasted. To achieve accuracy, prevention and control should be considered from the microbial level to enhance its scientific nature. It is specifically reflected in the need of having knowledge of microorganisms, understanding the pathogens of infection and their transmission routes, therefore to carry out prevention and control work contrapuntally. Specific measures include infection surveillance at the microbial level, establishing the idea and habits of infection diagnosis from the microbial level, being familiar with microbial perspective to identify infection risks and vulnerabilities, implementing evidence-based prevention and control measures for different pathogens, encouraging researches on infection control and management at the microbial level, and developing precise prevention and control regulations, standards, or guidelines for specific pathogens.
