The hospital information structure, which is made up of various medical business systems, is suffering from the problems of the "information isolated island". Medical business systems in the hospital are mutually isomerous and difficult to become a whole. How to realize the internal barrier-free interaction of the patients effective medical information in the hospital and further to complete the area sharing of patients longitudinal diagnosis and treatment information has become a question having to be solved urgently in the process of healthcare informatization. Based on the HL7 standard, this paper refers to the IHE technical framework, expounds the overall structure of the interaction in the hospital internal and area sharing of medical information with the medical information exchange platform. The paper also gives the details of the whole process of the complete display of the discrete patient health information using Portal technology, which is saved in the business systems in different hospitals. It interacts internally through the information exchange platform and at last stores the information in the regional cinical data repository (CDR).
As a new discipline, the cardiac surgery has a great development in the modern age, but still faces many problems and disputes. The emergence of the evidence-based medicine (EBM), which emphasizes the best evidence, and combines the doctor’s clinical experience to make the best judgment, gives the development of the cardiac surgery a new thinking. Four systematic reviews published in The Cochrane Library (Issue 3, 2004) have interprated the importance of EBM on how to resolve the actual problems in different field of the cardiac surgery.
During the medical rescue of Wenchuan earthquake, in accordance with the instruction of the Chinese Ministry of Health, West China Hospital set up the Medical Supply Center for Medical Teams from Other Provinces, put up standard storehouses within 10 hours, performed professional purchase, precisely distributed medical materials according to relevant demands, and decided the scientific route based on the distribution of medical teams from other provinces, so as to ensure the medical materials’ being delivered to the medical teams safely, promptly and accurately.
ObjectiveTo analyze the characteristics of colorectal cancer surgery in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on April 16th, 2020. The data items included timing of operation, types of operative procedure, radical resection level of operation, patient’s wish of anus-reserving, types of stomy, date of stoma closure, surgical approaches, extended resection, and type of intersphincteric resection (ISR). The data item interval of stoma closure was added, and the selected data items were statistically analyzed.ResultsThe total number of medical records (data rows) that met the criteria was 11 757, including 2 729 valid data on the timing of operation (23.2%), 11 389 valid data on the types of operative procedure (96.9%), 4 255 valid data on the radical resection level of operation (36.2%), 3 803 valid data on patient’s wish of anus-reserving (32.3%), 4 377 valid data on types of stomy (37.2%), 989 valid data on date of stoma closure (8.4%), 4 418 valid data on surgical approaches (37.6%), 3 941 valid data on extended resection (33.5%), and 1 156 valid data on type of ISR (9.8%). In the timing of operation, the most cases were performed immediately after discovery or neoadjuvant completion (915, 33.5%). In types of operative procedure, ultra low anterior resection (ULAR), right hemicolectomy (RHC), and low anterior resection (LAR) were the most, including 1 986 (17.4%), 1 412 (12.4%), and 1 041 (9.1%) lines. Respectively in the colon and rectal cancer surgery, the proportion of RHC (50.0%) and ULAR (26.0%) was the highest, with 172 (26.1%) and 815 (27.9%) extended resection. In ISR surgery the majority was ISR-2 (741, 64.1%). In radical resection level of operation, the number of R0 was the largest with 2 575 (60.5%) lines. In patient’s wish of anus-reserving, positive and rational were the most with 1 811 (47.6%) and 1 440 (37.9%) lines, respectively. And in types of stomy, there were 2 628 lines (60.0%) without stoma and 1 749 cases (40.0%) with stoma, among which the most lines were right lower ileum stoma (612, 35.0%). The minimum value, maximum value, and median value of interval of stoma closure were 0 d, 2 678 d and 112 d. The linear regression prediction of date of stoma closure by year was \begin{document}${\hat {y}} $\end{document}=9.234 3x+22.394 (R2=0.2928, P=0.07). In the surgical approaches, the majority was standard with 3 182 (72.0%) lines.ConclusionsIn the DACCA, rectal cancer surgery is still the majority, and ULAR is the most type. The application of extended resection in both colon and rectal cancer has important significance. The data related to stoma are diversified and need to be further studied.
Objective To understand the situation and technical level of aeromedical rescue in medical institutions in Qinling-Daba mountainous area. Methods A questionnaire survey was conducted on the staff of medical institutions of the medical consortium of Renmin Hospital of Hubei University of Medicine, located in Qinling-Daba mountainous area between June and September 2023. The basic information and development, demand, and knowledge mastery of aeromedical rescue were investigated. Results A total of 45 medical institutions participated in the research, 500 questionnaires were sent out, and 479 valid questionnaires were recovered, with an effective rate of 95.8%. Among them, there were 7 tertiary hospitals, 23 secondary hospitals, and 15 township health institutions; 11 medical institutions had participated in aeromedical rescue, and 17 hospitals had participated in aerial rescue drills. The survey subjects were mainly from emergency departments and intensive care medicine departments, women, aged>30 and ≤40 years old, undergraduate students, intermediate professional titles, and doctors. Twenty-one medical workers had received formal training in aeromedical rescue skills, 77 had received short-term theoretical and practical training, 123 had participated in short-term simulation exercises, and 93 had participated in aeromedical rescue activities. There was a statistically significant difference among the scores of first aid knowledge, aviation flight knowledge, and aeromedical rescue knowledge (9.34±0.35 vs. 4.65±2.91 vs. 3.28±3.44; F=15.048, P=0.001). There were statistically significant differences between first aid knowledge and aviation flight knowledge, as well as between first aid knowledge and aeromedical rescue knowledge (P<0.05). There was no statistically significant difference between aviation flight knowledge and aeromedical medical rescue knowledge (P>0.05). Conclusion There is an urgent demand for aviation rescue in medical institutions in Qinling-Daba mountainous area, and there is a shortage of professionals, so it is necessary to strengthen the training, rehearsal and practice of aeromedical rescue.
Non-small cell lung cancer is one of the cancers with the highest incidence and mortality rate in the world, and precise prognostic models can guide clinical treatment plans. With the continuous upgrading of computer technology, deep learning as a breakthrough technology of artificial intelligence has shown good performance and great potential in the application of non-small cell lung cancer prognosis model. The research on the application of deep learning in survival and recurrence prediction, efficacy prediction, distant metastasis prediction, and complication prediction of non-small cell lung cancer has made some progress, and it shows a trend of multi-omics and multi-modal joint, but there are still shortcomings, which should be further explored in the future to strengthen model verification and solve practical problems in clinical practice.
A 7.1-magnitude earthquake hit china again, 702 days after Wenchuan Earthquake at Yushu prefecture of Qinghai province, 4000 meters above sea level. Up to April 19th, the death toll climbed to 1706, with 256 missing and 12128 injured. West China Hospital, as a regional state-level hospital of Ministry of Health, organized the first batch of medical team with relief supplies at the first day after Yushu earthquake and rushed to Yushu taking part into the rescue effort in golden seventy-two hours. The second day after Yushu earthquake, medical apparatus and drugs valued 5,000,000 RMB were delivered to the rescue site and the second batch of medical team were positioned. Within thirty three hours after the earthquake, 102 people, including 93 earthquake related injuries and 9 armed police with severe altitude illness, were sent to our hospital by air in four batches successively. Based on the first-hand experience of medical rescue in Wenchuan Earthquake, a series of diagnosis and treatment criteria which were built and developed with evidence-based method, and “four concentration principles”, namely concentrating the wounded, concentrating the experts, concentrating resources, and concentrating treatments, our medical rescue in Yushu earthquake were carried out appropriately. Up to 12 am., April 19th, 93 cases from the disaster area have been treated, of whom 54 seriously wounded, 58 underwent operations and none death. The experience learnt from Wenchuan Earthquake have been used, improved and sublimated more rapidly, more appropriately, more effectively in the Yushu earthquake medical rescue.
With the establishment and development of regional healthcare big data platforms, regional healthcare big data is playing an increasingly important role in health policy program evaluations. Regional healthcare big data is usually structured hierarchically. Traditional statistical models have limitations in analyzing hierarchical data, and multilevel models are powerful statistical analysis tools for processing hierarchical data. This method has frequently been used by healthcare researchers overseas, however, it lacks application in China. This paper aimed to introduce the multilevel model and several common application scenarios in medicine policy evaluations. We expected to provide a methodological framework for medicine policy evaluation using regional healthcare big data or hierarchical data.