• 대한예방한의학회지
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• 제17권2호
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• pp.179-187
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• 2013

Objectives : In many cases, patient's symptoms have been recorded on EMR in natural language instead of medical terminologies. It is possible to build a database by analyzing the symptoms of Korean Medicine(KM) that indicates patient's symptoms in natural language. Using the database, when doctors record patient's symptoms on EMR in natural language, conversely it'll be also possible to extract the symptoms of KM from those natural language. The database will enhance the value of EMR as a medical data. Methods : In this study, we aimed to make data structure of the terminologies that represent the symptoms of KM. The data structure is combinations of smallest unit in natural language. We made the database by analyzing morpheme of the natural language to express the symptoms of KM. Results & Conclusions : By classifying the natural language in 15 features, we made the structure of concept and the data available for morphological analysis.

• 한국산학기술학회논문지
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• 제8권6호
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• pp.1496-1504
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• 2007

본 논문은 헬스케어 연구의 일환으로 병원 내의 EMR(Electronic Medical Record)을 지원할 수 있는 환자 자동인식 시스템의 설계 및 구현이다. 기존의 종이형 차트를 대신할 수 있으면서, 빠르고 정확한 환자 인식이 가능하고, 기존 EMR의 데이터베이스를 사용할 수 있는 모바일 기기 기반의 시스템을 개발하였다. 환자의 인식에는 RFID(Radio Frequency IDentified)를 사용하였으며, RFID와 시스템의 연동을 통해 자동화 된 환자 인식이 가능하다. 개발된 시스템은 테스트 베드에서 테스트하여 기존 종이형 차트에 비해 빠른 진료가 가능함을 실험하였다.

• 보건의료생명과학 논문지
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• 제10권1호
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• pp.25-38
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• 2022

본 연구에서는 보건의료정보관리사의 EMR 인증기준의 이해 및 데이터관리 실습을 위한 SQL 실습 모델을 제시하였다. 본 연구는 보건의료정보관리 실습 프로그램을 통하여 EMR인증기준의 기능성에 대한 처방정보관리를 실습하는 것이다. EMR 인증기준에 의한 실습내용은 약품마스터관리 및 약품명 조회, 투약처방 조회, 수진 정보 변환 후 이전 투약 처방 조회, 투약처방 시 검사 결과 조회, 검사처방기록 조회로 구성되었다. 추가적으로 식이처방기록 조회, 기타처방기록 조회, 마약류 투약 처방 중단 시 반납사유 조회가 포함된다. 이에 따라서 MS-ACCESS 기반의 보건의료정보관리 교육시스템의 처방관리 데이터베이스를 사용하여 처방정보관리 인증기준의 내용을 조회할 수 있는 SQL문장을 작성하였다. EMR 인증기준 실습은 SQL을 사용하여 인증기준에서 요구하는 조회항목을 직접 추출해봄으로써 인증기준을 좀 더 쉽게 이해할 수 있으며, 그리고 인증기준 외의 데이터를 추출할 수 있는 데이터 관리 및 정보 생성 능력을 향상시킬 수 있을 것이다.

• Journal of Information Technology Applications and Management
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• 제12권2호
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• pp.129-143
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• 2005

In recent years, two major streams in medical information systems are：1) system integration among OCS(Order Communication System), EMR(Electronic Medical Record), PACS(Picture Archiving and Communication System), and ERP(Enterprise Resource Planning) and 2) system integration through medical collaboration between East and West medical service providers. One of the characteristics which differentiate the Korean medical industry from the western medical industry is the East-West medical collaboration. In many respects there are many differences between East and West medical treatment. Although East and West medical treatment have developed from different medical philosophies and standards, we assume that the better medical care can be provided by integrating their medical procedures effectively. The two possible approaches to the integration of East and West medical information systems are suggested in this paper：One is loosely coupled model and the other is tightly coupled model. EMR improves the quality of medical record which reflects the quality of clinical practice. It provides more efficient and convenient way of input, retrieval, storage, communication and management of medical data. We abstracted the standard medical procedures from the two medical procedures performed in Daejeon Oriental Hospital and Hehwa Clinic at Daejeon University and also abstracted database schema by analyzing the characteristics of information needed in East-West medical collaboration. Our EMR is composed of two types of data：one is structured data and the other is unstructured data, which are formalized by SOAP(Subjective, Objective, Assessment, Plan) format. Currently the integrated system is implemented and operated successfully for six months.

• 한국콘텐츠학회논문지
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• 제9권9호
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• pp.90-96
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• 2009

본 연구의 목표는 당뇨 및 심혈관계 질환자의 상태를 주기적 지속적으로 관리하기 위하여 당뇨 심혈관 관련 질병 DB를 구축하고, 기존 OCS, PACS, EMR, ERP등의 환자 DB를 통합 연계하는 지능형 통합 인터페이스 환경을 통해 환자가 원하는 최적의 서비스를 최적의 타이밍에 제공할 수 있는 개인 맞춤형 의료정보 융합시스템을 설계하는 것이다. 이를 위해 당뇨 및 심혈관 질환에 대한 지능형 DB를 구축하고, OCS, EMR, PACS 등 기존의 타 시스템과의 유연한 연계처리를 통한 데이터 통합 환경을 제공한다. 또한, 개인 맞춤형 의료정보 응합 시스템의 QoS와 신뢰성, 확장성 등을 고려하여 H/W설계, S/W설계와 데이터호환 방법을 설계한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권3호
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• pp.947-971
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• 2022

The Electronic Medical Record (EMR) is a valuable source of medical data intelligence in e-health systems. The watermarking techniques have been used to authenticate the owner and protect the EMR from illegal copying. The existing distributive strategies, successfully operated to secure the EMR, are found to be inadequate. Blockchain technology, mainly, is employed by a sharing database that allows the digital crypto-currency. It rapidly leads to the magnified expectations acme. In this excitement, the use of consortium adopting the technology based on Blockchain, in the EMR structure, is found improving. This type of consortium adds an immutable share with a translucent record of the entire business and it is accomplished with responsibility, along with faith and transparency. The combination of watermarking and Blockchain technology provides a singular chance to promote a secured, trustworthy electronic documents administration to share with the e-records system. The authors, in this article, present their views on consortium Blockchain technology which is incorporated in the EMR system. The ledger, used for the distribution of the block structure, has team healthcare models based on dissimilar multiple image watermarking techniques.

• Toxicological Research
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• 제35권4호
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• pp.319-330
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• 2019

Adverse drug reactions (ADRs) constitute key factors in determining successful medication therapy in clinical situations. Integrative analysis of electronic medical record (EMR) data and use of proper analytical tools are requisite to conduct retrospective surveillance of clinical decisions on medications. Thus, we suggest that electronic medical recording and human genetic databases are considered together in future directions of pharmacovigilance. We analyzed EMR-based ADR studies indexed on PubMed during the period from 2005 to 2017 and retrospectively acquired 1161 (29.6%) articles describing drug-induced adverse reactions (e.g., liver, kidney, nervous system, immune system, and inflammatory responses). Of them, only 102 (8.79%) articles contained useful information to detect or predict ADRs in the context of clinical medication alerts. Since insufficiency of EMR datasets and their improper analyses may provide false warnings on clinical decision, efforts should be made to overcome possible problems on data-mining, analysis, statistics, and standardization. Thus, we address the characteristics and limitations on retrospective EMR database studies in hospital settings. Since gene expression and genetic variations among individuals impact ADRs, pharmacokinetics, and pharmacodynamics, appropriate paths for pharmacovigilance may be optimized using suitable databases available in public domain (e.g., genome-wide association studies (GWAS), non-coding RNAs, microRNAs, proteomics, and genetic variations), novel targets, and biomarkers. These efforts with new validated biomarker analyses would be of help to repurpose clinical and translational research infrastructure and ultimately future personalized therapy considering ADRs.

• Journal of information and communication convergence engineering
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• 제9권5호
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• pp.577-582
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• 2011

EMR(Electronic Medical Record) is an emerging technology that is highly-blended between non-IT and IT area. One of methodology to link non-IT and IT area is to construct databases. Nowadays, it supports before and after-treatment for patients and should satisfy all stakeholders such as practitioners, nurses, researchers, administrators and financial department and so on. In accordance with the database maintenance, DAS (Data as Service) model is one solution for outsourcing. However, there are some scalability and strategy issues when we need to plan to use DAS model properly. We constructed three kinds of databases such as plain-text, MS built-in encryption which is in-house model and custom AES (Advanced Encryption Standard) - DAS model scaling from 5K to 2560K records. To perform custom AES-DAS better, we also devised Bucket Index using Bloom Filter. The simulation showed the response times arithmetically increased in the beginning but after a certain threshold, exponentially increased in the end. In conclusion, if the database model is close to in-house model, then vendor technology is a good way to perform and get query response times in a consistent manner. If the model is DAS model, it is easy to outsource the database, however, some technique like Bucket Index enhances its utilization. To get faster query response times, designing database such as consideration of the field type is also important. This study suggests cloud computing would be a next DAS model to satisfy the scalability and the security issues.

• Genomics & Informatics
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• 제11권4호
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• pp.186-190
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• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• 한국멀티미디어학회논문지
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• 제12권8호
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• pp.1172-1181
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• 2009

전자의무기록(Electronic Medical Record, EMR)은 모든 검사 과정이 텍스트 기반의 데이터 형태로 저장되는 의료 분야의 의무기록 시스템을 의미한다. 그러나 국내의 전자의무기록 시스템은 각 의료기관마다 고유한 의료정보검사코드 형태를 이용하여 기록하는 방식으로 정보를 저장하기 때문에 병원 간의 의료검사 기록 형태들의 공유, 해석, 분석에 많은 문제점들을 가진다. 위의 문제들을 해결하기 위하여 표준화 되어 있지 않은 병원들의 검사코드들을 LOINC (Logical Observation Identifiers Names and Code)로 표준화하려는 연구들이 많다. 현재까지의 연구들은 로컬 의료정보검사코드를 수동으로 LOINC로 변환하는 방법이 연구되었다. 또한 대용량 의학 정보들을 다루기에 적절하지 않은 파일 기반에서 코드들을 관리하는 연구들이 이루어져왔다. 기존의 문제점을 해결하기 위하여 본 논문에서는 의료 용어 표준화 알고리즘을 제안하고, 구현하여 해결하였다. 또한, 대표적인 상용시스템이 가졌던 문제점인 검색어를 의사가 직접 생성해야 했던 부분을 LOINC 의 여섯 가지 자동 속성 추출 및 검색어 자동 생성 기능을 구현하여 해결하였다. 또한, 기존의 시스템들이 고려하지 않았던 대용량 데이터의 매핑 부분을 파일 시스템 기반이 아닌 데이터베이스 기반 검색 프레임웍을 구축하였다.