• Title/Summary/Keyword: EMR

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A Study on Medical Information Service System Design using Wireless LAN (WLAN을 이용한 의료정보서비스 시스템 설계에 관한 연구)

  • Yu, Ho-Jun;Ahn, Byoung-Hee;v, Young-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.455-458
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    • 2005
  • Current medical information management systems use man's hands or wired network for information transmission. It is difficult to check the situation information of the patient in real time. Moreover, it is also cumbersome to transfer the information. In this paper, we obtain the bio-signal in real time through wireless LAN, and store the carrer information of the patient at the management server in the hospital. We studied about development of system which provide the management server in the hospital. We studied about development of system which provide a career information service through PDA to the doctor as well as patients.

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Developing CPG for Implementation of CDSS in Digital Hospitals (디지털 병원의 CDSS구현을 위한 CPG 개발)

  • Lee, Hyung-Lae;Won, Chang-Won;Lee, Sang-Chul;Park, Sang-Chan
    • Journal of Korean Society for Quality Management
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    • v.42 no.1
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    • pp.81-89
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    • 2014
  • Purpose: The purpose of this study is to propose Clinical Practice Guideline(CPG) model and Clinical Index(CI) for implementing CDSS in digital hospitals. Methods: This study uses EMR data at department of family practice in A hospital; 636 patients, 570 diseases (based on ICD 10-CM criteria), and 37,000 data related with labs and treatments. This study focuses on disease J342 which is the most high rate of incidence. Results: Using the suggested model, this study calculates frequency matrix and probability matrix to find out the correlation of diseases and labs. This study indicates the lab sets of Disease (J342) as CI for CPG. Conclusion: This study suggests CPG model including Lab-based, Disease-Based and Case-based modules. Through 6 level cased-based CPG model, especially, this study develops Clinical Index(CI) such as the Incidence Rate, Lab Rate, Disease Lab Rate, Disease confirmed by Lab.

Rationale and Definition of The Criteria of The Efficiency of The Biological Activity of Optical Radiation on Animal Organism.

  • Chervinsky, Leonid S.
    • The Korean Journal of Food & Health Convergence
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    • v.4 no.3
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    • pp.1-5
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    • 2018
  • In today's technological development of human society more and more influence on the lives of biological organisms different electromagnetic radiation. Therefore, the study and analysis of the mechanisms of their effects is an urgent task. The purpose of research - the study of the primary mechanisms of interaction of photons of optical radiation with the structures of biological objects, using the laws of quantum mechanics and biophysics. Photobiological basis of the mechanism of action of EMR optical range is the energy absorption of light quanta (photons) by atoms and molecules of biological structures (law Grotgus-Draper), which resulted in the formation of electronically excited states of these molecules with the transfer of photon energy (internal photoeffect). This is accompanied by electrolytic dissociation and ionization of biological molecules. The degree of manifestation of photobiological effects in the body depends on the intensity of the optical radiation, which is inversely proportional to the square of the distance from the source to the irradiated surface. Accordingly, in practice, determine not the intensity and irradiation dose at a certain distance from the source of exposure by the exposure time.

The appropriate scope of work of EMT-paramedics in emergency medical institutions according to expert opinion (전문가들이 생각하는 응급의료기관 내 종사하는 1급 응급구조사에 대한 인식과 적정 업무 범위는)

  • Kang, Hyo-Young;Kim, Yong-Seok;Kim, Jin-Woo
    • The Korean Journal of Emergency Medical Services
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    • v.22 no.3
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    • pp.77-90
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    • 2018
  • Purpose: This study aimed to assess and improve the work scope of emergency medical technicians (EMT)-paramedics in emergency medical centers. Methods: Data were collected from February 1 to 14, 2018. The questionnaire comprised a total of 56 questions: eight general questions, six questions about the recognition of EMT-paramedics in emergency medical centers, and 42 questions about their work. Data were analyzed via frequency and correlation analysis using SPSS version 18.0. Results: Regarding the work of EMTs in emergency medical centers, positive opinions were found in 23 items, negative opinions in 4 items, and both positive and negative opinions in 9 items. Regarding the questions about the necessity, work importance, professionalism, and the need for an increase4 in EMR-paramedics, depending on respondents' career, there was no statistically significant difference between the group of beginners and the group comprising beginners and that of experienced workers (p>.200). Conclusion: The expert survey revealed that the work performance of EMT-paramedics in regional emergency medical centers was trusted and showed positive results of improvement and expansion.

Factors Associated with Discontinuation of Postoperative Intravenous Patient Controlled Analgesia (수술 후 자가통증조절요법 중단 관련요인)

  • Lee, Kyungran;Kim, Yunmi
    • Journal of Korean Biological Nursing Science
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    • v.20 no.4
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    • pp.236-243
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    • 2018
  • Purpose: The purpose of this study was to identify the factors associated with the discontinuation of patient controlled analgesia (PCA) after surgery. Methods: The data of 1,092 adult patients that were over 20 years of age and underwent PCA after surgery in the Gachon University Hospital from May 1 to June 30, 2017, were collected through the patients' Electronic Medical Record (EMR). The collected data was analyzed via the use of the Chi-test, t-test and multivariate logistic regression analysis using SPSS 18.0 program. Results: The postoperative PCA discontinuation rate was 26.1%. It was associated with various symptoms, such as those of nausea, dizziness, and headache. The PCA discontinuation was also related with female (odds ratio, OR= 1.75; confidence interval, CI= 1.09-2.82), nausea (OR= 105.27; CI= 61.03-181.58), total intravenous anesthesia (TIVA) of the thyroidectomy (OR= 10.43; CI= 5.01-21.70). Conclusion: It is necessary to provide additional medication and nursing interventions to reduce nausea, which is the symptom associated with PCA discontinuation, especially in the operation of female subjects and thyroidectomy under TIVA. That is, those who are at a high risk for PCA discontinuation should be able to administer additional antiemetics or reduce non medication nursing interventions.

A Study on the Area and Clearances around Patient Bed Space in Intensive Care Unit (중환자실 병상주변공간의 면적과 간격에 관한 연구)

  • Lee, Hyunjin;Kwon, Soonjung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.25 no.3
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    • pp.47-55
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    • 2019
  • Purpose: This study tries to propose the dimensions and area related to patient bed and surroundings in ICU considering nurses' observation and medical care. Methods: Literature survey, 11 Case studies, some Interviews with nurses and measuring of medical equipments' dimension in ICU have been mobilized in order to deepen the ICU bed area standards. Results: 0.3m clearance between head wall and patient bed is necessary for emergency cases. The minimum distance at the foot of the bed should not be less than 0.9m for EMR cart and medical tray. The clear floor area of one bed and surroundings in open ward is $10.2m^2(3m{\times}3.4m)$. In a single-bed patient room, the minimum clear floor area is $16.0m^2(4m{\times}4m)$. Considering the control of cross infection in ICU, Single bed patient room is recommended. Implications: The result of this study can be applied to the design of ICU and legislation of ICU standard.

Leveraging Big Data for Spark Deep Learning to Predict Rating

  • Mishra, Monika;Kang, Mingoo;Woo, Jongwook
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.33-39
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    • 2020
  • The paper is to build recommendation systems leveraging Deep Learning and Big Data platform, Spark to predict item ratings of the Amazon e-commerce site. Recommendation system in e-commerce has become extremely popular in recent years and it is very important for both customers and sellers in daily life. It means providing the users with products and services they are interested in. Therecommendation systems need users' previous shopping activities and digital footprints to make best recommendation purpose for next item shopping. We developed the recommendation models in Amazon AWS Cloud services to predict the users' ratings for the items with the massive data set of Amazon customer reviews. We also present Big Data architecture to afford the large scale data set for storing and computation. And, we adopted deep learning for machine learning community as it is known that it has higher accuracy for the massive data set. In the end, a comparative conclusion in terms of the accuracy as well as the performance is illustrated with the Deep Learning architecture with Spark ML and the traditional Big Data architecture, Spark ML alone.

Processing of dosage units and design of database schema for formulas in Korean medicine ontology (한의 온톨로지 처방의 용량 단위 가공과 데이터베이스 스키마 설계)

  • Sang-Kyun, Kim;Yong-Taek, Oh;MyungKu, Lee
    • Herbal Formula Science
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    • v.30 no.4
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    • pp.233-240
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    • 2022
  • Objectives : This study aims to propose a processing method for dosage units of medicinal materials and the database schema to manage formula data in Korean medicine ontology. Methods : All dosage units of medicinal materials are collected from the seven textbooks that contain formula data of Korea medicine ontology. Dosages are converted to Arabic numerals and units that are frequently used are converted to representative units. Database schema is designed for processing and managing the formulas and medicinal materials with dosage units. Results : Seven representative units are selected out of 77 units. They will be used in the addition or subtraction of medicinal materials in a formula support system. The remaining units will be made available for references. Conclusions : EMR or chart programs used in clinical hospitals contain formula data that is already standardized. However, the formula data in Korean medicine literature and textbook is not refined, so it is necessary to process the dosages and units of medicinal materials to use in the formula support system. This result is a processing method to utilize the formula data of Korean medicine textbooks and it will be implemented this method in the established formula support system in the future.

Construction of CT Image data Automatic Recognition System for Diagnosis of Urinary Stone Based on AI Plaform (인공지능 플랫폼기반 요로결석진단을 위한 CT 영상 데이터 자동판독 시스템 구축)

  • Noh, Si-Hyeong;Lee, Chungsub;Kim, Tae-Hoon;Lee, Yun Oh;Park, Sung Bin;Yoon, Kwon-Ha;Jeong, Chang-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.928-930
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    • 2020
  • 본 논문은 인공지능 플랫폼 기반의 요로결석 진단을 위한 CT 영상 데이터 자동판독 시스템에 대해 기술하고자 한다. 제안한 시스템은 웹 기반의 플랫폼을 기반으로 하며, 인공지능 기반의 진단 알고리즘을 장착하여 빠르게 요로결석 환자의 스크리닝에 목적을 두고 있다. 병원정보시스템의 PACS와 EMR과 연계와 Deep learning 진단 알고리즘을 적용한 요로결석 자동판독 시스템을 개발하였다. 특히, 기 구축된 인공지능 플랫폼을 통해 추출한 데이터셋을 기반으로 진단 알고리즘 개발 방법과 수행 결과를 보인다. 제안한 시스템은 요로결석 진단과 수술여부에 의사결정지원 시스템으로 임상에서 활용될 것으로 기대하고 있다.

A Design and Implementation of a LOCAL-LOINC Mapping System for the Standardization of a Laboratory Code (진단검사코드 표준화를 위한 LOCAL-LOINC 코드 매핑 시스템의 설계 및 구현)

  • Song, Hyr-Ju;Ahn, Hoo-Young;Park, Young-Ho;Kim, Shine-Young;Kim, Hyung-Hoe
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06c
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    • pp.203-207
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    • 2008
  • 본 논문에서는 의료기관의 검사코드인 LOCAL 코드(Local Code)를 LOINC 코드(Local Laboratory Result Code)와 매핑하기 위한 알고리즘을 구현하고, 이를 기반으로, LOCAL 코드의 매핑 및 입력을 지원하는 새로운 시스템을 제안한다. 이를 위해, 먼저, LOCAL 코드를 변환하여 LOINC의 여섯 가지 속성을 추출한 대응 코드로 생성한다. 추출한 대응코드는 LOINC 코드와 매핑하는 키 값이 된다. 대응코드와 LOINC 코드의 매핑은 각 속성을 우선순위에 따라 비교하는 과정을 포함하며, 매핑 결과 수에 따라 자동 매핑되거나, 상 하위 개념을 조합 또는 System 코드를 재검색하는 결과 최소화 단계를 수행한다. 본 연구에서는 매핑 알고리즘을 기반으로 LOINC 코드로 매핑 하고, 새로운 LOCAL 코드를 LOINC 코드로 입력할 수 있는 새로운 시스템을 구축하였다. 본 연구의 목표는 LOINC를 활용하여 방대한 진단검사 결과데이터를 표준화하고, 이를 통해 의료 기관 간 EMR을 실현하고 구축하는 기반요소를 마련하는데 있다. 본 연구를 통해, 국내 의료기관 간 검사 결과의 통합과 호환이 가능하게 할 것이며, 검사코드의 표준화를 위한 기반요소를 마련할 수 있을 것으로 기대한다.

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