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The paper preprocesses the data including basic information,admission and discharge record and progress note of diabetes Electronic Medical Records (EMR),implementing decision tree,Artificial Neural Network (ANN),Naive bayesian and K-Nearest Neighbor (KNN) classifications respectively on data that have been processed with Weka 3.9.The result shows that Naive bayesian classification,which is superior to the others in predicting and classifying such data,can provide basis for the classification and prediction of diabetes.
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Taking Hebei General Hospital as an example,the paper carries out sample comparison on the overall quality of final operation medical records before and after the implementation of step-by-step quality control,analyzes the defects of Electronic Medical Records (EMR) and the causes of them during perioperative period,and expatiates on the necessity of step-by-step quality control of EMR,the setting of specific quality control points and its advantages.
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Taking Chongqing Three Gorges Central Hospital as an example,the paper discusses on the practice process of building hospital information platform centering on Electronic Medical Records (EMR).It elaborates on problems in the building of hospital information by focusing on platform planning,building content and specific application,of which,building content includes aspects like restructuring the system and standardization building.
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The paper introduces the concept of blockchain and its impact on the development of medical industry,solves problems including medical data management,sharing and privacy based on decentralization,non-tampering and traceability of blockchain,points out problems and challenges confronting the combination of blockchain with medical industry,feasible solutions and outlooks into future development as well as providing reference for better support for medical studies and precision care.
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Based on the big data of Electronic Medical Records (EMR),information retrieval and the deep learning method,an auxiliary diagnosis Question Answering (QA) system is designed.The paper introduces the design of general framework,EMR database,value network and policy-based network of the system,provides the system operation process.This system can not only help patients to examine their conditions independently,but also provide reference for doctors when they make the diagnosis and treatment schemes.
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Through the practice of outpatient doctor station cored by the outpatient Electronic Medical Records (EMR),the paper discusses the disadvantages of outpatient paper medical records and the advantages of outpatient EMR,summarizes the key points and difficulties in promoting outpatient EMR,and meanwhile points out to pay attention to the integration with other information system,data standardization,perfection of the management system,integrated consultation system and other issues in the practice process.
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The paper retrieves the Electronic Medical Records (EMR) literatures from the journals included in A Guide to the Core Journals of China and Citation Report of Chinese Sci-tech periodicals (core board) from 2012-2016,carries out bibliometric analysis from the aspects of time,source journals,citation status,high frequency keywords and so on,so as to obtain the study status and tendency of EMR in recent years.
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Based on the introduction to the clinical phenotype extraction technique,the paper conducts systematic review on the extraction of clinical phenotype from Electronic Medical Records (EMR) of diabetes by taking advantages of the clinical decision support technique,natural language processing technique and machine learning method,and indicates that the deep learning method can be used to extract clinical phenotype from the EMR data more effectively and accurately,help clinical researchers better conduct clinical tests,and improve the medical care level.
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Taking the Sixth Affiliated Hospital of Sun Yat-Sen University as an example,the paper gives detailed examples in clinical and scientific research fields to indicate that the effective utilization of medical data through function reconstruction of the Electronic Medical Records (EMR) system not only brings conveniences to clinical and scientific researchers,but also strengthens medical protection for patients.
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〔Abstract〕 Taking Wuxi People′s Hospital Affiliated to Nanjing Medical University as an example, the paper introduces the constitu-tion, software architecture and main functions of Clinical Decision Support System ( CDSS) .The system is integrated with Electronic Medical Records ( EMR) system, providing scientific and acurate information support for clinicians in the whole diagnosis process.It has positive significance to improve the work quality and reduce medical errors.
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Objective To know the effects of electronic medical records(EMR) on the training quality of intern doctors' history-collecting and medical-records writing.Methods 195 students from Nantong University,Suzhou University and Xuzhou medical college were chosen as the subjects.For better effects,we divided the 195 students into two groups,81 students of Grade 2007 as the control group(hand-written medical record group) and 114 students of Grade 2008 as study group (electronic medical record group).The control group was arranged to complete EMR by transcribing the teacher's handwriting records into formal medical records after teachers' guidance and modification while the study group was arranged to write and directly modify the records on computer under the guidance of teachers and submit them for formal records.After the teaching,the medical record writing quality of two groups of interns was conducted centralized assessment to analyze the advantages and disadvantages of electronic medical records on the training of interns' collection and writing ability.SPSS 18.0 was used for statistical analysis,with count data using the number(percentage) and measurement data using mean +/-standard deviation.Measurement data of two groups of medical record writing scores were compared with t test,test level for α=0.05.Results The result of handwritten group was significantly better than EMR group(t=6.33,P＜0.001),which indicated training effectiveness of intern doctors' ability of writing medical record had digressive tendency on EMR group.Conclusion Negative effects of EMR are shown in intern doctors' history-collecting and medical-records writing.Cultivation quality of intern doctors' history-collecting and medical-records writing should be ensured by the combination of EMR and handwriting-medical training,the combination of daily inspection and key examination of medical record writing quality and establishment of feedback-rectification mechanism.
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The paper explored the online real-time system built at the hospital to monitor clinical care quality using EMR.The methodology,procedures and index system were established for real-time clinical care quality control.With the online control in place,significant improvements were found in such care indexes as implementation of essential healthcare regulations,EMR quality,rational drug use and rational blood use,making quality control much efficient than before.EMR-based online clinical care quality control can improve quality of care,make it efficient and guide clinical care and quality control as well.
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Objective To focus on the expressiveness and flexibility of OpenSDE: an application that supports recording of structured narrative data. Methods OpenSDE enabled data entry with (customizable) forms based on trees of medical concepts. The relevant scope for data entry could be tailored per medical domain by construction of a domain-specific tree. OpenSDE was intended for structuring narrative data to make these available for both care and research. Results The OpenSDE application was used at two departments in aspects of radiology, neurology, pediatrics, and child psychiatry. Conclusion OpenSDE is superior to traditional text entry method in aspects of correct and full expression and clinical decision support.
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Objective To explore the application ways of IHE XDS technology in electronic medical record (EMR) system and develop application system of clinical EMR integration. Methods The clinical EMR integration plan was worked out based on IHE XDS technical framework. Results A EMR solution based on IHE XDS was presented. It was consisted of the components of the clinical Data Entry, XDS Registry, clinical document Repository, EMR application server and the i-node accessing server. The system was tested and the result indicated that the system was effective and scalable. Conclusion IHE XDS profile can be not only used to realize the sharing of EMR documents across multiple hospital, but also support the collection clinical data within a hospital clinical system integration.
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Objective To further develop SDE for structured documentation of clinical data based on medical ontology. Methods OpenSDE was customized for the broad domain of medical ontology: medical concepts and its descriptors from history taking and physical examination were modeled into a tree structure. Results An expandable EMR system with structured data entry was developed. Conclusion Structured data entry is significant to clinical decision based on EMR.