A Comparative Analysis of the Control Effect of Medical Expenses between General Hospitals and Traditional Chinese Medicine Hospitals from 2012 to 2021

Objective To analyze the changing trend of average medical expenses and structure in general hospitals and traditional Chinese medicine(TCM)hospitals and the effects and differences achieved by the two kinds of hospitals through controlling unreasonable growth of medical expenses,so as to provide reference for controlling the rapid rise of medical cost in public hospitals and optimizing the cost structure.Methods Based on the changes of related indicators of medical expense control from 2012 to 2021,the overall characteristics,changes of cost structure and trends of medical expenses in general hospitals and TCM hospitals were investigated.Results and Conclusion From 2012 to 2021,the increase of medical expenses in general hospitals and traditional Chinese medicine hospitals had slowed down,the proportion of drug revenue to medical income began to decline,and the medical service income increased.However,the proportion of inspection,test and sanitary materials income has increased instead of decreasing,but the management cost has decreased.The two kinds of hospitals have achieved certain cost control results,the structure of medical cost has changed greatly,and the technical service and labor value of medical personnel have been reflected to a certain extent.However,it is still necessary to explore a more scientific and reasonable cost control mechanism to promote the further optimization of medical cost structure.

Study on the Changes of Medical Income Structure in Governmentrun Hospitals of Traditional Chinese Medicine from 2012 to 2021

Objective To study the changing characteristics and trend of medical income structure in the government-run hospitals of traditional Chinese medicine(TCM),evaluate the effects of relevant reform measures,and to put forward corresponding suggestions for further optimizing their income structure.Methods The data related to the average medical income of government-run hospitals of TCM from 2012 to 2021 were sorted out.Then,descriptive analysis method was used to analyze the changes of related indicators.Besides,structural change method was applied to investigate the changes of outpatient income and inpatient income.Results and Conclusion From 2012 to 2021,the growth of medical income in government-run hospitals of TCM tended to be stable,and the proportion of medical service income increased from 22.62%(2012)to 29.38%(2021),but the average annual growth rate was only 0.68%.The main items that caused the change of outpatient income structure were medicine revenue,laboratory tests,diagnosis and treatment,and the cumulative contribution rate was 89.15%.The main items that caused the change of inpatient income structure were medicine revenue,sanitary materials,and auxiliary examinations income,with a cumulative contribution rate of 80.04%.However,the contribution rate of registration,diagnosis,treatment,surgery and nursing income reflecting the value of medical personnel’s technical labor was relatively small.The medical income structure of government-run hospitals of TCM underwent great changes and gradually became reasonable,but the medical service income increased slowly,and not all indicators achieved the expectations.To promote the sustainable development of public hospitals of TCM and enable them to provide high-quality and efficient TCM medical and health services,it is necessary to further improve the relevant policy mechanism.

Narrative Medicine Under the Guidance of Traditional Chinese Medicine Theory

This paper is an exploration into the practice of narrative medicine in the clinical setting guided by the theory and approaches of traditional Chinese medicine(TCM).By adopting the theory of TCM,the author attempted to provide the patients with systematic treatment from the perspective of society-psychology-biology under the guidance of both the unity of Heaven and Man,and the unity of Xing(Body)and Shen(Mind/Spirit)through his clinical practice.Guided by yin-yang and Wu Xing(Five Elements)theory and focusing on the social relations of the patients for any possible relationships between patients’social,psychological and biological state,the author took the patients’emotion management as a point of departure and helped the patients recover both physically and psychologically by promoting positive transformation in patients’social,psychological,and biological state.A clinical case was provided at the end of this paper to demonstrate how the above theory was put into practice.Narrative medicine under the guidance of TCM theory can supplement modern medical humanity practices as well as extend the scope of modern medical treatment from the perspective of the unity of Heaven and Man,by enriching the content of narrative medicine,and promoting the medical model from biological medical model toward social-psychological-biological model.

Data Masking for Chinese Electronic Medical Records with Named Entity Recognition

With the rapid development of information technology,the electronifi-cation of medical records has gradually become a trend.In China,the population base is huge and the supporting medical institutions are numerous,so this reality drives the conversion of paper medical records to electronic medical records.Electronic medical records are the basis for establishing a smart hospital and an important guarantee for achieving medical intelligence,and the massive amount of electronic medical record data is also an important data set for conducting research in the medical field.However,electronic medical records contain a large amount of private patient information,which must be desensitized before they are used as open resources.Therefore,to solve the above problems,data masking for Chinese electronic medical records with named entity recognition is proposed in this paper.Firstly,the text is vectorized to satisfy the required format of the model input.Secondly,since the input sentences may have a long or short length and the relationship between sentences in context is not negligible.To this end,a neural network model for named entity recognition based on bidirectional long short-term memory(BiLSTM)with conditional random fields(CRF)is constructed.Finally,the data masking operation is performed based on the named entity recog-nition results,mainly using regular expression filtering encryption and principal component analysis(PCA)word vector compression and replacement.In addi-tion,comparison experiments with the hidden markov model(HMM)model,LSTM-CRF model,and BiLSTM model are conducted in this paper.The experi-mental results show that the method used in this paper achieves 92.72%Accuracy,92.30%Recall,and 92.51%F1_score,which has higher accuracy compared with other models.

Application and Practice of Traditional Chinese Medicine Characteristic Technology Inheritance in Research and Development of Traditional Chinese Medicine Preparations in Medical Institutions

Medical institution preparations play an important role in the development of hospitals,being one of the main forms of traditional Chinese medicine clinical characteristic medication,as well as an important carrier for the inheritance and innovation of traditional Chinese medicine.In recent years,the research and development of traditional Chinese medicine preparations has become a hot spot in the research and development of preparations by medical institutions.Traditional Chinese medicine preparations prepared by traditional processes and their entrusted preparation matters have changed from the current licensing management to filing management.The registration model of traditional Chinese medicine preparations has undergone significant changes,emphasizing more on real data and evaluation results from the objective world,respecting traditional medication experience,and emphasizing the inheritance and innovative development of traditional technological experience.In the process of following teachers in the inheritance project of traditional Chinese medicine,we combined the inheritance of traditional Chinese medicine characteristic technology with the research and development practice of traditional Chinese medicine preparations in medical institutions,and focused on the analysis and discussion of technical problems such as prescription screening,dosage form selection,process route design and clinical observation of traditional Chinese medicine preparations,hoping to provide reference for scholars in the same field of traditional Chinese medicine.

Innovative Practice of Medical Chinese Teaching Based on Constructivism Theory

Based on constructivism theory and task-driven teaching methods,medical Chinese teaching gradually transitions from the current teaching mode to a“student-centered”teaching mode.The ideological elements are integrated into the medical Chinese teaching curriculum,guiding students in acquiring medical Chinese language skills while instilling a spirit of humanistic care and professional ethics inherent in the medical profession.

Analysis on medication rule of traditional Chinese medicine treating chemotherapy-induced diarrhea based on traditional Chinese medicine(TCM) inheritance computing platform system

Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Chinese medicine”,“chemotherapy”and“diarrhea”as the theme words,comprehensive search of the database of CNKI,Wanfang and VIP from its inception to November 2020 was conduct-ed.The formulas of external treatment of traditional Chinese medicine for chemotherapy-induced diarrhea were included and the association rule,clustering and factor analysis were carried out.Results:A total of 145 papers,57 prescriptions meeting the inclusion criteria were collected,among which high-frequency drugs including Baizhu(Atractylodis macrocephalae rhizoma),Fuling(Poria),Dangshen(Codonopsisradix),Huanglian(Coptidis rhizoma),Zhigancao(Glycyrrhizae radix et rhizoma praeparata cum melle)were the most commonly used.The confidence level was set as 0.7 and the support level was set as 10,12 core compatibility groups were obtained,and 6 categories were cluster analyzed.Conclusion:The principle of external treatment of chemotherapy-induced diarrhea is mainly“restore deficiency and benefiting qi”,“benefiting water infiltration and dampness”,“clearing heat”and“inducing astringency”.Prescription combination and new prescription combination based on traditional Chinese medicine(TCM)inheritance computing platform system can be used as reference for clinicians and applied in primary hospitals.

Medication rules of traditional Chinese medicine ointment for diabetic foot ulcer

Objective:Based on data mining,to explore the clinical characteristics of traditional Chinese medicine ointment in the treatment of diabetic foot ulcer.Methods:to search the literatures about the treatment of diabetic foot ulcer by traditional Chinese medicine ointment in CNKI,Wangfang and VIP.In this paper,the prescription of traditional Chinese medicine ointment in the literature of treating diabetic foot ulcer was extracted,and the database of prescription was established by using v2.5 to analyze and mine the rule of medication.Results:95 prescriptions for diabetic foot ulcer were sorted out,involving 158 prescriptions.Among them,dragon's blood and Lithospermum are the most frequently used drug combinations.The core combination of 10 groups and 5 new prescriptions are obtained by evolution.Conclusion:the treatment of diabetic foot ulcer with traditional Chinese medicine ointment mainly includes clearing away heat,promoting blood circulation and removing blood stasis,and tonifying deficiency.

Analysis on the medication rules and mechanisms of action of traditional Chinese medicine in treating cervical cancer

Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Methods: Collect relevant literatures on cervical cancer in Chinese National Knowledgey Ifrastructure (CNKI), use TCM inheritance platform system (TCMISSV2.5) for association rules and complex system entropy clustering analysis;use BATMAN-TCM online analysis tools to construct target-pathway-disease network to reveal the underlying mechanisms of action. Results: Among the 78 prescriptions selected, a total of 172 Chinese medicines were used, and the five most frequently used herbs were Huang-bo (Phellodendri Chinrnsis Cortex), Fu-ling (Poria Cocos), Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Gan-cao (Licorice). Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Fu-ling (Poria Cocos), Bai-zhu (Atractylodes Macrocephala Koidz.) and Fu-ling (Poria Cocos) are the three most commonly used medicine match. In addition, through cluster analysis, a total of 4 core herbs compatibility and 2 new prescriptions were excavated. Herbs in the new prescriptions which are used to clearing heat-toxin and removing dampness were most frequently used. Through the analysis of the signal pathway of high frequency Chinese medicines, we found that neuroactive ligand-receptor interaction pathway may play important roles. Conclusion: The core Chinese medicines for the prevention and treatment of cervical cancer are mainly clearing heat-toxin and removing dampness. The core Chinese medicines may play their anti-cervical cancer by interfering with the neuroactive ligand-receptor interaction signaling pathway.

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Ancient and modern medication laws of aromatic Chinese medicines in treating angina pectoris based on data mining

Objective To explore ancient and modern medication laws of aromatic Chinese medicines in treating angina pectoris, and to provide new ideas for the clinical treatment.Methods With “angina pectoris” as the key word, ancient books prescriptions and Chinese patent medicines related to angina pectoris were collected from China National Knowledge Infrastructure(CNKI), Traditional Chinese Medicine Database System, Chinese Medicine Prescription Database, New National Proprietary Chinese Medicine(2 nd edition), and Chinese Pharmacopoeia(2020 edition) from January 1, 2015 to December 31, 2021. Core highfrequency aromatic Chinese medicines were defined, and their potential medication rules were analyzed and summarized. Microsoft Access 2010 was used for data management. Data analysis software, including Excel and IBM SPSS Modeler 18.0 were used for drug association rule analysis, and Cytoscape 3.7.2 for visual display.Results There were 67 ancient books prescriptions and 258 Chinese patent medicines containing aromatic Chinese medicines treating angina pectoris collected from relevant databases. In ancient books prescriptions, there were nine aromatic Chinese medicines with the frequency ≥10, and the most commonly used medicine was Danggui(Angelicae Sinensis Radix), followed by Chenpi(Citri Reticulatae Pericarpium). There were 33 aromatic Chinese medicines with the frequency ≥10 in Chinese patent medicines, and the most commonly used medicine was Danshen(Salviae Miltiorrhizae Radix et Rhizoma), followed by Chuanxiong(Chuanxiong Rhizoma) and Sanqi(Notoginseng Radix et Rhizoma). In ancient books prescriptions, the medicines mainly belonged to intenal-warming medicines, Qi-regulating medicines, and blood circulation promoting and blood stasis removing medicines.There were eight medicine pairs with confidence equal to 100% in ancient books prescriptions, the most frequently used pairs were Chuanxiong(Chuanxiong Rhizoma) +Danggui(Angelicae Sinensis Radix), and Xiangfu(Cyperi Rhizoma) + Chenpi(Citri Reticulatae Pericarpium). In Chinese patent medicines, the aromatic Chinese medicine Chuanxiong(Chuanxiong Rhizoma) could be combined with many other Chinese medicines, among which the Confidence and Support of Chuanxiong(Chuanxiong Rhizoma) + Danshen(Salviae Miltiorrhizae Radix et Rhizoma) were at a high level.Conclusion Aromatic Chinese medicines for the treatment of angina pectoris of coronary heart disease are mainly warm, and the flavors are mainly pungent, sweet, and bitter. They mainly access to the liver, gallbladder, and pericardium meridians. The treatment of angina pectoris of coronary heart disease mainly focuses on warming heart pulse, and promoting blood circulation and removing blood stasis.

Study on medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever based on data mining

Objective:To analyze the medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever in order to guide clinical medication.Methods:The database of China National Knowledge Infrastructure,Vip database and WanFang medical network were searched.The cases involving traditional Chinese medicine prescription in the treatment of neoplastic fever were screened.After extracting the prescriptions and Chinese medicines,make statistics according to frequency analysis,cluster analysis and association analysis.Results:79 literatures were included which involving 123 decoctions.221 traditionalChinese medicines were included in the statistics,the most frequently used traditional Chinese medicines were Gancao,Chaihu,Huangqi and Shengdihuang.The proportion of heat-clearing drugs in Chinese medicines was the largest(23.98%).The most common property of the Chinese medicines is cold property,accounting for 51.13%.The higher frequencies of flavors of the Chinese medicines are bitter,sweet and acrid,the sum of which is 84.66%.The most common meridian of Chinese medicines is liver meridian,accounting for 19.82%.The cluster analysis and association analysis of high frequency Chinese medicines showed that high frequency Chinese medicines could form three clustering formulas,and could get 18 pairs of high frequency drug combinations.Conclusion:Traditional Chinese medicines for heat-clearing,deficiencytonifying,phlegm-resolving,blood stasis-dispeling are mostly used to the treatment of neoplastic fever.The results of cluster analysis and association analysis of high frequency traditional Chinese medicines can provide certain reference and guidance for clinical medication.

Analysis of the rule of medication for internal administration of gout by traditional Chinese medicine based on Traditional Chinese Medicine Inheritance System

Objective:Based on the TCMIS(traditional Chinese medicine inheritance system)V2.5 to explore the rule of medication used in internal TCM(traditional Chinese medicine)for gout in the national patent network.Method:Collect the internal administrations of gout in the national patent network,and enter them into the Chinese medicine inheritance system V2.5,adopt Frequency analysis,association rules,complex system entropy clustering and other data mining methods to analyse the internal traditional formula of traditional Chinese medicine for gout.Results:By inclusion,exclusion criteria,357 formulas are screened out,involving 494 medicine,63 medicine with frequency of use≥20,and 40 commonly used medicine pairs.The core medicine are:Huangbai(Cortex Phellodendri),Cangzhu(Rhizoma Atracylodis),Niuxi(Radix Acanthopanacis Bidentatae),Yiyiren(Semen Coicis),Tufuling(Rhizoma Smilacis Glabrae),Bixie(Rhizome Dioscoreae Hypoglaucae),Gancao(Radix Glycyrrhizae),Weilingxian(Radix Clematidis),Zexie(Rhizoma Alismatis),Danggui(Radix Angelicae Sinensis),Chuanxiong(Rhizoma Chuanxiong).There are 28 new combinations and 14 new formulas.Conclusion:In the national patent network,the internal traditional Chinese medicine for gout is based on clearing away heat and dampness,activating blood circulation to dredge collaterals,which provides reference for clinical treatment of gout.

Analysis on the medication and methods of ancient traditional Chinese medicine in the prevention of plague

Background:To analyze the medication and methods of ancient traditional Chinese medicine for the prevention of plague and seasonal pathogen in order to reduce the spread of infectious diseases such as flu and protect the susceptible people.Methods:Search the medication and the methods for preventing plague and seasonal pathogen in the Chinese Medical Code,classify and summarize the methods,perform frequency analysis and efficacy cluster analysis on Chinese medicines of involved medicines.Results:The methods of preventing ancient plague were as follows:burning and fumigating Chinese medicines,medicating nostrils,wearing bags filled with Chinese medicines,oral Chinese medicines and applying medicines to skin.The 3 main ways for drugs to work were external medication,nostril inhalation,and internal absorption.The Chinese medicines for preventing plague are mostly warm in nature and pungent in flavour,belonging to the spleen,stomach,liver,lung meridian.The 3 categories of drugs obtained by cluster analysis are C1:drugs for facilitating lung,relieving exterior and dissipating cold,such as Cangzhu(Atractylodis rhizoma)-Qianghuo(Notopterygh rhizoma et radix)-Xixin(Asari radix et rhizoma)-Baizhi(Angelicae dahuricae radix)-Fangfeng(Saposhnikoviae radix)-Zaojiao(Gleditsiae sinensis fructus);C2:drugs for promoting blood circulation and removing blood stasis,such as Xionghuang(Realgar)-Zhusha(Cinnabaris)-Dahuang(Rhei radix rhizoma)-Chuanxiong(Chuanxiong rhizoma)-Jiegeng(Platycodonis radix);C3:drugs for replenishing Qi(it is the most basic element that constitutes human body and maintains life activities in traditional Chinese medicine)and tonifying the spleen,such as Gancao(Glycyrrhizae radix et rhizoma)-Dazao(Jujubae fructus)-Ganjiang(Zingiberis rhizoma)-Rougui(Cinnamomi cortex)-Gansong(Nardostachyos radix et rhizoma)-Chenpi(Citri reticulatae pericarpium)-Baizhu(Atractylodis macrocephalae rhizoma).Conclusion:Through analysis the medication and methods of ancient traditional Chinese medicine for the prevention of plague,we can provide reference for modern research from the original plague prevention methods,and make an important contribution to the use of traditional Chinese medicine in the prevention and treatment of epidemic infectious diseases in modern clinic.

Analysis of medication law of treatment of cholelithiasis by internal traditional Chinese medicine based on traditional Chinese medicine inheritance system

Objective:Based on the Traditional Chinese Medicine Inheritance System version 2.5 to explore the rule of medication used in internal traditional Chinese medicine for cholelithiasis in the national patent network.Method:Collect the internal administrations of cholelithiasis in the national patent network,and enter them into the Chinese medicine inheritance system version 2.5,adopt frequency analysis,association rules,complex system entropy clustering and other data mining methods to analyze the prescription rule of traditional Chinese medicine cholelithiasis.Results:According to the inclusion and exclusion criteria,215 prescriptions were selected,involving 398 drugs,30 drugs with a frequency of>20,and 39 commonly used drug pairs.The core drugs are:Jinqiancao(Herba Lysimachiae),Yujin(Radix Curcumae),Chaihu(Radix Bupleuri),Yinchen(Herba Artemisiae Scopariae),Jineijin(Endothelium Corneum Gigeriae Galli),Dahuang(Radix et Rhizoma Rhei),Gancao(Radix Glycyrrhizae),Huangqin(Radix Scutellariae),Baishao(Raidix Paeoniae Alba),Muxiang(Radix Aucklandiae),Zhishi(Fructus Aurantii Immaturus),Yanhusuo(Rhizoma Corydalis),Huzhang(Rhizoma Polygoni Cuspidati),Haijinsha(Herba Lygodii).And 9 new prescriptions have been got.Conclusion:In the national patent network,the traditional Chinese medicine is used in the treatment of cholelithiasis.The main treatment is clearing heat and dampness,regulating Qi and relieving pain,and promoting gallbladder removing stone,providing reference for clinical treatment of cholelithiasis.

A study on the medication law of oral administration of traditional Chinese medicine in treating breast carbuncle based on the Traditional Chinese Medicine Prescription Dictionary

Objective:Based on the database of Traditional Chinese Medicine Prescription Dictionary,the prescription medication rules of oral administration of traditional Chinese medicine in the treatment of breast carbuncle were explored by using the software of Traditional Chinese Medicine Inheritance Support System(V2.5).Methods:To screen and retrieve the prescriptions for treating breast carbuncle in the Traditional Chinese Medicine Prescription Dictionary,and data mining was carried out by using association rule algorithm,complex system entropy clustering and so on.Results:A total of 208 prescriptions which met the inclusion criteria were selected,involving 175 traditional Chinese medicines.Among them,23 medicines were found to be more than 21 times in the treatment of breast carbuncle.The nature of the medicine is mainly cold or warm,the flavour of the medicine is mainly bitter or sweet,most of them belong to the spleen,liver,stomach.15 commonly used drug combinations and 9 new prescriptions were obtained.Conclusion:The key pathogenesis of breast carbuncle is liver depression and Qi stagnation,stomach heat blocking collaterals,the treatment is mainly to clear heat and detoxify,regulate Qi to diffuse the knot,which provides reference for the choose of traditional Chinese medicine prescription in treating breast carbuncle.

A study of medication rules of traditional Chinese medicine in the treatment of pre diabetes based on data mining

Background:To summarize the concerted application and prescription rules of traditional Chinese medicine in the treatment of pre diabetes.Methods:Microsoft Excel 2010 was used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 14.0.Results:One hundred and forty-six references were included,including 153 prescriptions and 131 drugs.Their frequency of use is listed in the following order.The top 3 categories of drugs were“Tonifying,Heat-Clearing”,diuresis and“Diffusing Dampness”drugs.The top 5 drugs were Huangqi(Astragali radix),Fuling(Poria),Huanglian(Coptidis rhizoma),Shanyao(Dioscoreae rhizoma),Gegen(Puerariae lobatae radix).The top 3 channel tropism of drugs were spleen,stomach and lung.The top 3 nature of drugs were cold,warm and calm.The top 3 flavour of drugs were sweet,bitter and pungent.The cluster analysis of high-frequency drugs showed that it could be classified into 4 categories:“Benefiting Qi”for promoting production of fluid,“Clearing Heat”and“Eliminating Dampness”,“Nourishing Yin”and“Clearing Heat”,and“Invigorating Spleen”for“Diffusing Dampness”.The results of association rule analysis showed that the combination with the highest degree of confidence and support was Poria-Chenpi(Citri reticulatae pericarpium)-Banxia(Pinelliae rhizoma)-Baizhu(Atractylodis macrocephalae rhizoma)and the combination with the highest frequency was Astragali radix-Puerariae lobatae radix.Conclusion:The pre diabetes is due to deficiency.The disease location is spleen and stomach and the pathological factor is phlegm-damp,that is why benefiting qi and invigorating spleen is regarded as the key link of clinical treatment.

Analysis on the medication rule of traditional Chinese medicine in the treatment of COVID-19 patients

Objective: To describe patterns of utilization of traditional Chinese medicine(TCM) in the treatment of patients with coronavirus disease 2019(COVID-19).Methods: Adult patients with COVID-19 who received TCM treatment were divided into a non-serious group(mild and moderate types) and a serious group(severe and critical types) according to their admission conditions. The medical records and prescriptions of these patients were investigated to determine their TCM utilization patterns.Results: In all, 3,872 COVID-19 patients were included. Oral Chinese traditional patent medicine(CPM) was the most commonly used type of TCM(83.2%), fol owed by decoction(64.4%). As for medication pattern, the proportion of multi-drug combinations was higher than single drug use(55.0% vs. 45.0%). Decoction combined with oral CPM was the most common combination(39.1%,1,514/3,872). Oral y administered, injected, and external y applied CPM were significantly more common in the serious group than in the non-serious, while decoction and non-drug TCM treatments were more common in the non-serious than in the serious group.Multi-drug combinations were used for the majority of patients in both groups, mainly in the form of decoction combined with oral CPM.Serious patients were analysed by three groups of different prognoses and outcomes, including discharged after improvement,discharged after relapse and improvement, died final y. The two most common medication patterns were decoction combined with oral CPM and oral CPM alone in the two final y discharged groups. Oral CPM alone or used in combination with injected CPM were seen most commonly in the death group. Significant differences were established in medication patterns among patients in these three groups.Conclusions: Oral CPM was the mainly used TCM for COVID-19 patients, followed by decoction. More common medication pattern was multi-drug combination, especially decoction combined with oral CPM. The treatment measures and medication patterns of TCM commonly used in COVID-19 patients with the range of conditions found in this study should be further explored in the future to provide a more complete reference for COVID-19 treatment.

Based on data mining, the study on the medication rule of Chinese patent medicine for constipation

To analyze the medication rule of Chinese patent medicine compound for constipation by data mining,and to provide reference for the treatment of constipation.Methods:The Chinese patent medicines for constipation in the Pharmacopoeia of the People’s Republic of China(2020)and Chinese patent medicine prescription database of yaozhi.com(https://db.yaozh.com/chufang)were collected and sorted.The prescriptions and drug composition were input into Excel2010.ategories,nature,flavour and channel tropism of drugs were analyzed by using ancient and modern medical case cloud platform(V2.3.5).The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 18.0.Results:Two hundred and thirty-six Chinese patent medicine prescriptions that met the requirements were collected,containing 349 Chinese medicines in total,with a total frequency of 2,277.The drugs with frequency≥25 times were high-frequency drugs,with a total of 24 flavours,and the top 5 were Dahuang(Rhei radix et rhizoma),Huangqin(Scutellariae radix),Gancao(Glycyrrhizae radix et rhizoma),Huanglian(Coptidis rhizoma)and Bohe(Menthae haplocalycis herba).The top 3 frequency of efficacy of high-frequency drugs were“Heat-Clearing(remove heat from the body surface and inside)”drugs,“Purgating(to promote excretion of stools)”drugs and“Reinforcing”(to supplement the body’s lack of“Qi,Blood,Yin and Yang”)drugs.The nature of high-frequency drugs were cold,warm and flat.The top 3 flavour of the high frequency drugs were bitter,spicy and sweet.The top 4 channel tropism of high-frequency drugs were“Spleen”,“Stomach”,“Lung”,“Large intestine”.According to the association rule,11 drug pairs were obtained,and the core drug pairs were Zhizi(Gardeniae fructus)-Rhei radix et rhizoma,Huangbo(Phellodendri chinensis cortex)-Rhei radix et rhizoma.Four new methods were obtained based on cluster analysis.Conclusion:Chinese patent medicine has a certain regularity in the treatment of constipation.This paper can provide some references for the clinical treatment of constipation with Chinese medicine.

Discussion on the Management of Safe Medication in the Treatment of Internal Diseases of Traditional Chinese Medicine

Objective:To discuss the management of safe medication in the treatment of internal diseases in traditional Chinese medicine.Methods:124 patients with medical diseases were divided into experimental group and control group by random number table method,with 62 cases in each group.The experimental group implemented safe medication management,and the control group implemented routine medication management,all of which were treated for 4 consecutive weeks.The comparison of the improvement of the quality of life,the compliance rate of safe medication and the adverse drug reactions of the two groups after clinical treatment were compared.Results:After 8 weeks of treatment,there was a significant difference in clinical efficacy between the two groups of patients.In terms of quality-of-life scores,the scores of the experimental group were better than those of the control group.The living ability,condition,physical strength and other conditions of patients were significantly different.The t-values were 15.3427,14.0275,and 7.7113,respectively,and P<0.01 was statistically significant.The compliance rates of patients in the experimental group and observation group were 95.16%and 70.96%,respectively,with significant differences(P<0.05).In terms of the incidence of adverse drug events,the experimental group was 3.22%,which was significantly lower than the observation group's 8.06%(P<0.05).Conclusion:The implementation of safe medication management in the clinical treatment ofTCM internal diseases can improve the quality of life of patients to a certain extent,increase their safe medication compliance rate,and reduce the incidence of adverse medication events.The clinical application value is extremely high,and it can be widely promoted and applied.