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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.
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Objective:To investigate the application prospect of 3D virtual reconstruction and printing technology based on thin-slice CT images in network cloud+dual-track teaching.Methods:A total of 120 medical students who were on probation in The Second Affiliated Hospital of Air Force Medical University from April 2021 to April 2022 were selected as subjects and were randomly divided into experimental group and control group, with 60 students in each group. The students in the experimental group received 3D virtual reconstruction and printing technology combined with network cloud+dual-track teaching, and those in the control group received network cloud+dual-track teaching alone. After 6 months of learning, the teaching effect was compared by closed-book examination, skill operation, speech defense, and questionnaire survey. SPSS 23.0 was used for the t-test and the chi-square test. Results:Compared with the control group in terms of department examination, the experimental group had significantly better scores of theoretical knowledge [(84.25±5.53) vs. (79.43±6.69), P<0.001] and operational skills [(87.68±5.72) vs. (82.97±5.32), P<0.001]. The experimental group had significantly higher scores than the control group in speech [(44.90±2.56) vs. (41.88±2.71), P<0.001] and defense [(45.83±2.62) vs. (43.85±2.56), P<0.001]. The questionnaire survey showed that compared with the control group, the experimental group had significantly higher scores of practical ability, active learning ability, expression ability, practice enthusiasm, and information acquisition ability ( P<0.001). Conclusion:The network cloud+dual-track teaching model assisted by 3D virtual reconstruction and printing technology can significantly improve the objective learning effect and subjective learning initiative of students and has a relatively high value of teaching application and promotion.
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Objective:To discuss the medication law in prescriptions of Professor Shao Nianfang in the treatment of kidney deficiency and bone marrow loss in senile dementia based on data mining.Methods:Medical cases of kidney deficiency and bone marrow loss in senile dementia in the Geriatric Hospital of Shandong University of Traditional Chinese Medicine from 1st Jan. 2014 to 31st Oct, 2019 were collected. Through hospital electronic medical records system prescription statistics, using ancient and modern medical case cloud platform (V1.2.4), medication frequency, property ans taste, efficacy analysis, correlation rule analysis, clustering analysis and complex network analysis were performed.Results:Totally 110 cases were included in medical cases, involving 238 kinds of Chinese materia medica. The top 10 Chinese materia medica with use frequency were Poria, Acori Tatarinowii Rhizoma, Corni Fructus, Dioscoreae Rhizoma, Rehmanniae Radix Praeparata, Alpiniae Oxyphyllae Fructus, Rehmanniae Radix, Astragali Radix, Chuanxiong Rhizoma, Atractylodis Macrocephalae Rhizoma; the properties were mainly mild, warm slight cold, and cold; the tastes were mainly sweet, bitter, pungent, and light; the meridians were mainly spleen, liver, lung and kidney meridians; the efficacy was clearing dampness and promoting diuresis, clearing heat and promoting blood circulation, calming mind, clearing heat and detoxification, reducing dampness and promote appetizing, tonifying spleen; the association analysis found 15 groups of drug combinations used more than 25 times, they were: Corni Fructus and Poria, Corni Fructus and Dioscoreae Rhizoma, Dioscoreae Rhizoma and Corni Fructus, Rehmanniae Radix Praeparata and Corni Fructus, Dioscoreae Rhizoma and Poria, Astragali Radix and Poria, Alismatis Rhizoma and Poria, Moutan Cortex and Poria, Rehmanniae Radix Praeparata and Poria, Rehmanniae Radix and Poria, Polygalae Radix and Acori Tatarinowii Rhizoma, Moutan Cortex and Corni Fructus, Moutan Cortex and Dioscoreae Rhizoma, Alismatis Rhizoma and Corni Fructus, Alismatis Rhizoma and Dioscoreae Rhizoma; clustering analysis identified four groups of new prescriptions, the first group: Poria, Rehmanniae Radix, Rehmanniae Radix Praeparata, Alismatis Rhizoma, Moutan Cortex, Corni Fructus, Dioscoreae Rhizoma; the second group: Acori Tatarinowii Rhizoma, Cistanches Herba, Morindae Officinalis Radix; the third group: Alpiniae Oxyphyllae Fructus, Chuanxiong Rhizoma, Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle; the fourth group: Atractylodis Macrocephalae Rhizoma, Codonopsis Radix, Astragali Radix, Angelicae Sinensis Radix; the results of complex network analysis showed that the core prescription was modified Liuwei Dihuang Pills. Conclusion:This study found that in view of kidney deficiency and bone marrow loss in senile dementia, Professor Shao pays attention to strengthening the healthy qi, and focuses on tonifying deficiency, taking into account the methods of clearing dampness, clearing heat, detoxification, removing blood stasis and restoring consciousness. The four new prescriptions found in the study can provide a reference for modified medication for syndrome differentiation.
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Objective:To explore the rules of Traditional Chinese Medicine (TCM) prescriptions of gastroesophageal reflux disease based on Ancient and Modern Medical Records Cloud Platform.Method:The relevant medical cases from ancient medical case database, modern medical case database, shared medical case database and famous doctors' medical case database in Ancient and Modern Medical Records Cloud Platform (V2.3.8) were selected, and frequency analysis, attribute analysis, association analysis, cluster analysis and complex network analysis were performed on the herbs.Results:A total of 107 medical records were obtained, including 225 TCMs. The core medicines were Radix et Rhizoma Glycyrrhizae, Pericarpium Citri Reticulatae, Rhizoma Coptidis, Poria, and Fructus Evodiae. The drug property was mainly cold and warm, and the herbal tastes bitter and pungent. The meridian tropism of drugs mainly manifested in the spleen and stomach meridians. The core herbal pairs were Radix et Rhizoma Glycyrrhizae and Pericarpium Citri Reticulatae. The core prescription consisted of 17 herbs including Radix Glycyrrhizae, Pericarpium Citri Reticulatae, Rhizoma Coptidis, Fructus Evodiae, Poria, Endoconcha Sepiae, Herba Taraxaci, Fructus Aurantii, Radix Paeoniae Alba, Radix Bupleuri, Jiang Banxia, Rhizoma Cyperi, Radix Aucklandiae, Caulis Bambusae In Taenia, Fructus Aurantii Immaturus, Fructus Amomi, and Rhizoma Atractylodis Macrocephalae. Conclusions:Chinese medicine treatment of gastroesophageal reflux disease is mainly based on Chaihu Shugan Powder, Zuojin Pill, and Wendan Decoction. Moreover, we need to combine with clinical symptoms to add or subtract herbs.
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Objective:To analyze the medication rules in the ancient book Pu Ji Fang for the external treatment of acne based on data mining method. Methods:By screening out the methods of treating acne externally in Pu Ji Fang and establishing a standardized medical record database, this paper adopted the web version of Ancient and Modern Medical Record Cloud Platform to calculate the frequency, properties, flavors, and meridians of those medicines, and conduct cluster analysis by using IBM SPSS Modeler 18.0 software to analyze the association rules. Results:A total of 87 prescriptions were selected, including 164 kinds of Chinese materia medica, among which. Radix Angelicae, Ligusticum Wallichii, Rhizoma Typhoni and lead powder are frequently appeared. The properties of those medicines are mainly warm, cold and mild; the flavors of those medicines are mainly spicy, acrid, sweet and bitter, and the meridians mainly belongs to lung, spleen, stomach and liver meridians. The medical pair and group with the strongest associationion are Ligusticum Wallichii- Radix Angelicae and Rhizoma Typhonii- Radix Angelicae- Ligusticum Wallichii. Those freuently appeared medicines could be grouped into three categories. The paste dosage that was frequently appeared has strong correlation with tallow, mercury and lead powder, while the powder dosage that was frequenctly appeared has strong correlation with Angelica Dahurica, Radix Saponicae, Gleditsia sinensis, Radices Ligustici Sinensis and Ligusticum Wallichii. Conclusions:The application of data mining method could preliminarily reveal the medication rules of Pu Ji Fang for the external treatment of acne. The main treatment method is XinSanFaYue. The three categories of Chinese materia medica are used to treat the syndrome of asthenic habitus attacked by exogenous pathogenic factors, exterior attacked by wind heat and hot blood stasis respectively, showing the rules of treating acne externally before Ming Dynasty and providing references for the clinical treatment of acne.
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Objective:To explore the impact of applying the imaging cloud platform to medical imaging practice teaching on diagnostic thinking ability and learning experience of students.Methods:Eighty-eight students of Batch 2016 from the Department of Medical Imaging of Chongqing Medical University were randomly divided into two groups, with 44 students in each group. The experimental group was taught by the imaging cloud platform, and the control group was taught by traditional practice. Differences in diagnostic thinking ability and learning experience were compared between the two groups after 4 weeks. SPSS 22.0 was used for t-test. Results:The total score of the diagnostic thinking ability test in the experimental group was higher than that in the control group [(80.63±6.10) vs. (70.36±8.09)], and the difference was statistically significant ( P<0.05). There were statistically significant differences in the scores of three items: description of signs, differential diagnosis and key points, and new progresses and recommendations ( P<0.05). For the five aspects of the learning experience in the questionnaire survey, the scores of the experimental group were higher than those of the control group, and all the differences were statistically significant ( P<0.05). Conclusion:The application of imaging cloud platform in imaging practice teaching has important value in improving diagnostic thinking ability and learning experience of students, and it is worthy of practice and promotion.
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This study deeply analyzes the common problems of three military medical universities in the management of undergraduate extracurricular scientific research, such as lack of communication means, limited online resources, backward laboratory opening and low utilization rate of equipment. We have built a cloud platform management system for undergraduate extracurricular scientific research. This system firstly sets up a teaching resources storage module including videos, PPTs, documents, pictures, electronic materials, question bank, etc. Then four subsystems for different roles of students, mentors, experimental teaching staff and administrators are constructed. Finally, this system realizes independent experiments by students, real-time evaluation by mentors, instrument sharing and efficient management through the seamless connection with the user terminal equipment. And the study also makes evaluation on the present usage.
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Objective:The medical records collected on the Ancient and Modern Medical Record Cloud Platform were used to explore the medication rules of Traditional Chinese Medicine for the treatment of ulcerative colitis.Methods:By selecting the medical cases of the modern medical database and medical cases of famous doctors in the ancient medical database on the cloud platform to analyze the frequency, attribution, association, and complex network of those medicines.Results:A total of 209 medical records were obtained, including 319 Traditional Chinese Medicines, of which the core medicines were Rhizoma Coptidis, Radix Aucklandiae, Poria, Radix Paeoniae Alba, and Radix Glycyrrhizae. The properties of those medicines were warm, mild, and cold. The main taste is bitter and sweet, and most of them attibute to spleen, stomach, and liver meridians. The core pair medicine is Radix Aucklandiae-Rhizoma Coptidis. The core prescription was composed of nine herbs including Rhizoma Atractylodis Macrocephalae, Radix Paeoniae Alba, Radix Scutellariae, Radix Aucklandiae, Rhizoma Coptidis, Radix Glycyrrhizae, Radix Pulsatillae, Poria, and Radix Codonopsis. Conclusion:The treatment of ulcerative colitis with Traditional Chinese Medicine mainly include Sijunzi Decoction and Xianglian Pill, accompanied with those medicines which could clear heat with detoxication function, cool the blood and stop diarrhea, By doing so, ulcerative colitis could be treated both in the surface and the root.
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Objective:Based on the artificial intelligence (AI) technology in endoscopy and the internet platform, to explore and construct a safe, standardized, scientific and rigorous database for digestive endoscopy, and to provide reference and evidence for the data quality control of AI in digestive endoscopy in China.Methods:After referring to relevant guidelines and standards, data collection and labelling standards of digestive endoscopy of 12 common gastrointestinal diseases were determined. The software of online collection and labelling of multi-center digestive endoscopy data in Shandong Province was developed. Endoscopic equipment with a domestic market share of >5% was used and dozens of experienced endoscopists from 9 medical centers in Shandong Province were uniformly trained for data labelling. From July 2019 to July 2020, the endoscopic examination data from 9 medical centers including Qilu Hospital of Shandong University, Shandong Provincial Hospital , Liaocheng People′s Hospital, Linyi People′s Hospital, Weihai Municipal Hospital, Taian City Central Hospital, Binzhou Medical University Hospital, Yantai Yuhuangding Hospital and Qilu Hospital of Shandong University (Qingdao) were prospectively and continuously collected and labeled. The optimized, desensitized, and generalized data were uploaded to the server. After the file synchronization, data processing, and expert review, a multi-center digestive endoscopy AI database with standard data collection and labelling in Shandong Province was constructed, namely cloud platform. Descriptive methods were used for statistical analysis.Results:The collection and labelling standards for multi-center digestive endoscopy AI data in Shandong province was established. The software of online collection and labelling of multi-center digestive endoscopy AI data in Shandong province was developed. The database in Shandong province was successfully constructed. In the database, 43 010 lesions, 40 353 images, and 11 289 examinations were labeled. Among them, there were 2 906 cases of early esophageal cancer, 2 912 cases of early gastric cancer, 2 397 cases of early colorectal cancer, and 9 773 cases of colorectal polyps (5 539 cases of adenomatous polyps, 1 161 cases of non-adenomatous polyps and 3 073 case of undetermined polyps).Conclusions:The multi-center AI cloud platform for digestive endoscopy in Shandong Province adopts unified standards and collection and labeling software, which ensures the safety and standardization of endoscopy data. It provides a reference and basis for the construction of a quality control system for standardized data collection and labelling of digestive endoscopy AI data in our country and for the third-party data supervision.
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Objective:To explore the medication rules and mechanisms of traditional Chinese medical doctor Jia Yuejin for treating depressive disorder based on data mining and network pharmacology. Methods:The medication rules and core prescription were analyzed with the statistics of frequency, properties and analysis of correlation, clustering, and complex network of prescriptions for the treatment of depressive disorder from the outpatient service of Professor Jia in the past five years, from 1st Jan. 2016 to 1st Jul. 2020, with the help of the Ancient and Modern Medical Records Cloud Platform (V 2.2.3). Then we obtained the targets of effective ingredients of each drug of the core prescription and disease targets and took the intersection by virtue of TCMSP, GEO and other databases. We used Cytoscape V 3.8.0 to construct disease-drug-ingredient-target and protein-protein interaction networks, and performed GO and KEGG pathway enrichment analysis, and finally selected the key effective ingredients and key targets to apply software of Vina to molecularly dock. Results:A total of 120 medical records, 148 prescriptions and 138 drugs were obtained. The most common drug properties were gentle, warm, cold. The main tastes were sweet, pungent and bitter, and the meridians were concentrated in two spleen and liver meridians. The core prescription of 8 drugs was obtained through analysis of drug correlation, clustering and complex network. A total of 80 effective ingredients, 772 related targets, 542 intersectional genes of the core prescription were obtained, the key ingredients included dehydroeburicoic acid, α-Amyrin, and the key targets included AKT1, ESR1. The GO enrichment analysis showed metabolic process, immune system process, signaling process, and the KEGG pathway enrichment analysis showed neuroactive ligand-receptor interaction, NF-κB signaling pathway. The results of molecular docking of key ingredients and key targets showed them stable binding.Conclusion:The rules of Chinese Medicines of Professor Jia for depressive disorders show the related multi-ingredient, multi-target, multi-pathway mechanisms, which can provide references for clinical use and further research.
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Objective:To analyze the prescriptions for the treatment for epigastric pain in A Hundred Years of Traditional Chinese Medicine Clinicians in China. Methods:The clinical medical records of well-known TCM doctors for the treatment of epigastric pain were included in the A Hundred Years of Traditional Chinese Medicine Clinicians in China. The database of clinical prescriptions and medicines was built, and the ancient and the Ancient and Modern Medical Records Cloud Platform (V 2.1) was applied and the evaluation of drug efficacy, sex, taste, and menstruation were conducted. Descriptive analysis, association rules, hierarchical clustering, and complex network analysis were applied in the rule of medication, drug pairs and core prescriptions. Results:Data was cleaned according to the inclusion and exclusion criteria, and 270 prescriptions were collected, involving 265 kinds of drugs, and the cumulative frequency of drug use was 3 249. The analysis showed that the drugs commonly used by famous traditional Chinese medicine doctors for the treatment of epigastric pain were mainly warm drugs, tast-balance drugs, and mildly cold drugs. The main flavors of medicines were pungent medicines, bitter medicines, sweet medicines, and effects were mainly drugs that regulate qi, clear heat, and invigorate the spleen. The frequency of drug meridians mainly belonged to spleen meridian, stomach meridian, lung meridian, liver meridian, heart meridian. The effects of the drug were mainly to dry dampness, reduce side effects, regulate qi, clear heat, invigorate spleen, and soften liver and analgesics. Association rule analysis found that the commonly used drug pairs were Pinellia- Tangerine Peel, Atractylodes Macrocephala- Poria, Poria- Tangerine Peel, Atractylodes- Tangerine Peel, Amomum tangerine Peel, Ochre- generation- Inula, Rhizoma Coptis- Evodia, and so on. Cluster analysis showed that Liujunzi Decoction, Zuojin Pill, and Shaoyao Gancao Decoction were mainly used. The drug complex network diagram showed that the core prescription of the drug is Xiangsha Liujunzi Decoction. Conclusion:The well-known TCM doctor focuses on strengthening the spleen and regulating qi, reconciling qi and blood, The treatment identified that the mutual warming and clearing, tonifying and deoppilation, and neutral are the main principles.
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Objective:The data mining method was used to analyze the medication rules of the ancient prescriptions for yin deficiency syndrome, so as to provide reference for clinical treatment of yin deficiency syndrome.Methods:We searched the database of ancient prescriptions, selected the prescriptions for yin deficiency syndrome, used the Ancient and Modern Medical Case Cloud Platform V2.2.3 to count the frequency and attribute of drug use, and carried out hierarchical cluster analysis to find the core prescription. MATLAB was used to analyze the association rules, and the law of drug compatibility was found. The Pajek64 5.13 was used for complex network analysis to find out the core traditional Chinese medicine.Results:There were 467 prescriptions that meet the requirements, 302 kinds of drugs were used in total. The four properties of the drugs were mainly cold, the five flavors mainly sweet, the meridian of the drugs mainly kidney meridian. The core drugs were Rehmanniae Radix Praeparata, Ophiopogonis Radix, Rehmanniae Radix, and Poria. The most commonly used drug pair was Dioscoreae Rhizoma- Rehmanniae Radix Praeparata, the second was Corni Fructus- Rehmanniae Radix Praeparata, Poria-Rehmanniae Radix Praeparata. The commonly used drugs can be clustered into two categories. Conclusion:We can preliminarily reveal that the ancient medication law of yin deficiency syndrome is mainly nourishing Yin liquid and reducing fire, paying attention to nourishing kidney yin, using Yin nourishing medicine often combined with medicine of tonifying lung, liver, spleen yin and diverging to reduce fever. It can provide certain reference for clinical treatment of yin deficiency syndrome.
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According to the characteristics of short time and large amount of samples for out of hospital emergency nucleic acid detection, this study introduces an out of hospital emergency nucleic acid detection cloud platform system, which realizes the functions of rapid identification of the detected person and one-to-one correspondence with the samples, and real-time upload of the detection results to Zhejiang Government service network for quick viewing and statistics, so as to complete the task of national nucleic acid screening efficiently and accurately that we must provide information support.
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Humans , COVID-19 , Cloud Computing , Nucleic Acids , SARS-CoV-2ABSTRACT
Objective:To explore the application prospect of "education cloud platform + dual track" teaching in continuing medical education of thoracic surgery.Methods:A total of 100 trainees who participated in continuing medical education in thoracic surgery department in Air Force Medical University were randomly divided into experimental group and control group, with 50 students in each group. The experimental group adopted "education cloud platform + dual-track" teaching, and the control group adopted dual-track teaching. At the end of the study, an examination of theoretical knowledge and practical operation would be conducted; at the same time, an anonymous questionnaire survey would be used to evaluate the satisfaction of the two teaching modes. SPSS 20.0 was used for t test and chi-square test. Results:There was no statistically significant difference between the two groups in basic theoretical performance. The professional theoretical performance [(28.6±3.7) points] and operational theory performance [(34.9±4.7) points] of the experimental group were higher than those of the control group, with significant differences ( P<0.05). The experimental group performed better than the control group in five practical operation assessments: basic operation of thoracoscopy, basic operation of opening and closing the chest, operation of vascular isolation and suture, operation of esophageal anastomosis and operation of tracheal anastomosis, with statistical differences ( P<0.05). The satisfaction with teaching of experimental group was significantly higher than that of the control group ( P<0.05). Conclusion:"Education cloud platform + dual track" teaching can effectively ensure the teaching progress of problem-based learning (PBL) and team-based learning (TBL), improve students' learning effect, and has high promotion and application value.
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Objective:To compare and analyze the medication patterns for adult and children diarrhea from Erxu Mingyi Lei’an. Methods:The cases and formula prescriptions on adult and children diarrhea were recorded from Erxu Mingyi Lei ' an. The data was analyzed and compared between adult and children by the Ancient and Modern Medical Records Cloud Platform (V 2.1), including frequency statistics, association rule analysis, drug pair analysis, efficacy statistics, drug taste tropism statistics, and cluster analysis. Results:A total of 456 prescriptions of adult diarrhea were abstracted, involving 360 drugs, and the top 5 drugs were Poria, Atractylodis Macrocephalae Rhizoma, Citri Reticulatae Pericarpium, Paeoniae Radix Alba and Aucklandiae Radix. The Atractylodis Macrocephalae Rhizoma paired with Poria, Citri Reticulatae Pericarpium with Poria, Citri Reticulatae Pericarpium with Atractylodis Macrocephalae Rhizoma, and Paeoniae Radix Alba with Atractylodis Macrocephalae Rhizoma were commonly used in the treatment of adult diarrhea. Citri Reticulatae Pericarpium, Atractylodis Macrocephalae Rhizoma and Poria were the core drugs for adult diarrhea. There were 111 prescriptions for pediatric diarrhea, involving 180 drugs, and the top 5 were Atractylodis Macrocephalae Rhizoma, Poria, Paeoniae Radix Alba, Glycyrrhizae Radix et Rhizoma, and Nelumbinis Folium. The Poria paired with Atractylodis Macrocephalae Rhizoma, Atractylodis Macrocephalae Rhizoma with Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle, and Aconiti Lateralis Radix Praeparata with Atractylodis Macrocephalae Rhizoma were commonly used in the treatment of diarrhea in children. The Atractylodis Macrocephalae Rhizoma, Poria and Aconiti Lateralis Radix Praeparata were the core drugs for children diarrhea. The main charateristics of drugswas warm type, sweet taste, and the main meridian belongs to spleen, followed by stomach and lung meridians. The use of carbided drugs in adults were significantly higher than children. Conclusions:The Erxu Mingyi Lei’an forcused the treatment of invigorating the spleen qi, where the adult formular often matches the drugs of drying dampness and invigorating the spleen, aromatizing dampness, slight infiltration and eliminating dampness, while the children formular often matches the drugs of warming the Yang and warming the Yang. Many kinds of carbonaceous drugs can be used in the treatment of adult diarrhea, but they should be used with caution in the treatment of children.
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Objective::To analyze and excavate the medication rules of ancient physicians in the treatment of depression syndrome, so as to provide reference for clinical treatment of depression syndrome. Method::The ancient medical records of depression syndrome sorted out in Yian Leiju were retrieved and collated, the data of traditional Chinese medicine (TCM) prescriptions in medical records were extracted, the obtained data of TCMs in prescriptions were standardized, and the data mining function of the ancient and modern medical records cloud platform V1.5 was adopted to carry out frequency statistics, cluster analysis, association analysis and complex network analysis of TCM data, the common drugs used by ancient physicians for treatment of depression syndrome, properties and classifications of commonly used medicines, pairs of commonly used medicines and core prescriptions were obtained. Result::After screening, a total of 364 medical cases, 461 visits and 439 prescription data of TCM were included, involving 67 ancient books. A total of 607 Chinese medicines were involved, and the total frequency of medication was 4 127.High frequency medicines included Poria (186 times), Citri Reticulatae Pericarpium (115 times), Glycyrrhizae Radix et Rhizoma (113 times), Ginseng Radix et Rhizoma (101 times), Angelicae Sinensis Radix (98 times), Atractylodis Macrocephalae Rhizoma (94 times), etc. The main properties and flavors of commonly used Chinese medicines were warm, flat, bitter and acrid, which were mainly attributed to the four meridians of spleen, lung, heart and liver. Commonly used couplet medicines were Atractylodis Macrocephalae Rhizoma-Poria, Poria-Glycyrrhizae Radix et Rhizoma, Poria-Angelicae Sinensis Radix, Atractylodis Macrocephalae Rhizoma-Glycyrrhizae Radix et Rhizoma, Ginseng Radix et Rhizoma-Poria, etc. The core prescription was based on the addition and subtraction of Danzhi Xiaoyaosan. Conclusion::In the treatment of depression syndrome, ancient physicians adopt the principles of invigorating the spleen, nourishing Qi and blood, soothing the liver and regulating Qi, nourishing the heart and tranquilizing the mind, giving consideration to both Qi and blood, and harmonizing the liver, spleen and heart.
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Objective: To explore the prescription medication rule of the first batch of Chinese medicine masters in treating acute stage of stroke by using the data mining method. Methods: The experience books and published journal articles of Chinese medicine masters and the shared medical records of national famous TCM studios in the cloud platform V1.5 of ancient and modern medical records were searched; The first batch of national physician master data for the treatment of acute phase of stroke was selected; A standardized basis database, standardization of medicines were established after using statistical analysis of system integration, association rules analysis, methods of complex networks; The formula frequency, medicinal, and core prescription drugs were analyzed. Results: A total of 142 medical cases were eventually included. The frequency results of traditional Chinese medicine showed that 14 kinds of high-frequency traditional Chinese medicine were obtained, including Pheretima, Chuanxiong Rhizoma, Persicae Semen, etc., and most of the drugs were warm, smooth, bitter, sweet, and return to liver and lung meristem. The results showed that the frequency of chordal pulse and tongue red was the most. A total of 24 association rules and 18 TCM association rules were obtained by association rule analysis. Conclusion: In the treatment of acute apoplexy, the Chinese medicine master usually adopted the methods of clearing heat and relieving wind, promoting blood circulation and removing blood stasis, eliminating phlegm and resuscitative medicinal, moving qi, and dredging collaterals, and stopping convulsions.
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December of 2019 witnessed the outbreak of new coronavirus pneumonia in Wuhan city and a few localities. As a designated hospital, Tongji Hospital is designated as a hospital for the diagnosis and treatment of numerous patients of such a disease. Based on the medical cloud platform, the hospital has initiated a regional remote diagnosis center; based on its IT system, the hospital to operate its epidemic prevention and management mechanism, set up the self-service system for patients at the fever clinic, launched its online diagnosis and treatment services, and established a hospital epidemic supervision platform. By strengthening the informational support needed for epidemic prevention and control, the hospital has enhanced its efficiency of epidemic prevention and control, reducing the risk of cross-infection, and ensuring data security. Its experiences offer references for informationization support for other regions and hospitals in China.
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Objective: To research the medication regularity of Chinese medicine on treating urinary tract infection based on the Ancient and Modern Consilia Cloud Platform to provide references for clinical treatment of urinary tract infection.Methods: The Ancient and Modern Consilia Cloud Platform was used to screen the consilia of Traditional Chinese Medicine for the treatment of urinary tract infection, the materials mainly come from books, journal articles, famous medical studios in the modern Chinese medicine case database. Screening, cleaning, standardizing consilia, and the standardized consilia database was set up. Statistical analysis, cluster analysis and complex networks were used to analysed the core prescription, the herb medicine frequency, the herb medicine four gas, the herb medicine five flavors, the herb medicine channel tropism and other regularity of Chinese medicine treatment of urinary tract infection, and displayed visually. Results: A total of 501 prescriptions were included, a total of 245 herb medicine were involved, and liquorice, poria, dianthus superbus and rehmannia were used more frequently. The tastes are cold, neutral, sweet taste, and bitter taste. Their channel tropisms mainly belong to lung and liver. The core prescriptions are based on Bazhengsan and Zhibaidihuangwan. Conclusion: Heat, dampness and diuretic herbs are used in the treatment of urinary tract infections in Chinese medicine, and nourishing yin and kidney, and relieving the stagnation of liver at the same time.Asthenic and sthenia syndrome, appearance and essence are also taken into account.
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The paper analyzes the building and use situation of teaching resources in medical schools and teaces hospitals,expatiates on the importance and the specific construction idea of building the cloud sharing platform of medical teaching resources,which includes optimization of the existing resources,thoughts of architecture,architecture selection and technical realization,points out that the platform is able to enhance medical education level and promote the development of educational informatization.