• Title/Summary/Keyword: record classification

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Nursing Process of Abdominal Surgery Patients (복부수술환자의 간호과정)

  • Yoo, Hyung-Sook
    • Journal of Korean Academy of Nursing Administration
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    • v.8 no.3
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    • pp.411-430
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    • 2002
  • Purpose : This study was to develop Nursing Process Model of abdominal surgery patient using nursing diagnoses of NANDA, Nursing Interventions Classification(NIC), and Nursing Outcomes Classification(NOC). Method : The data in database were collected from nursing records in sixty patients with abdominal surgery admitted in a university hospital and open questionnaires of thirteen nurses. Systematic nursing process resulting from each nursing diagnoses, most common, was developed by the statistical analysis through database query from clinical database of abdominal surgery patients. Result : 51 nursing diagnoses were identified in abdominal surgery patients. The most commonly occurred nursing diagnoses were Pain, Risk for Infection, Sleep Pattern Disturbance, Hyperthermia, Altered Nutrition: Less Than Body Requirements in order. The linkage lists of NANDA to NIC and NANDA to NOC, and the nursing activities according to nursing diagnoses of abdominal surgery patients were identified in unit. Conclusion : Nursing Process of abdominal surgery patients was comprised of core nursing diagnoses, core nursing interventions, core nursing outcomes which provides the most reliable data in unit and could make nurses facilitate nursing process easily without full consideration of knowledge about nursing language classification system. Therefore, it could support nurses' decision making and recording of nursing process especially in the computerized patient record system if unit nursing process model using standardized nursing language system which contains of their own core nursing process data was developed.

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Deep Learning-Based Model for Classification of Medical Record Types in EEG Report (EEG Report의 의무기록 유형 분류를 위한 딥러닝 기반 모델)

  • Oh, Kyoungsu;Kang, Min;Kang, Seok-hwan;Lee, Young-ho
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.5
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    • pp.203-210
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    • 2022
  • As more and more research and companies use health care data, efforts are being made to vitalize health care data worldwide. However, the system and format used by each institution is different. Therefore, this research established a basic model to classify text data onto multiple institutions according to the type of the future by establishing a basic model to classify the types of medical records of the EEG Report. For EEG Report classification, four deep learning-based algorithms were compared. As a result of the experiment, the ANN model trained by vectorizing with One-Hot Encoding showed the highest performance with an accuracy of 71%.

Design and Implementation of a Nursing Records for the Nursing Process for Use Within the Health Level 7 Clinical Document Architecture (HL7 임상문서구조의 기반 한 간호과정을 위한 간호기록지의 설계 및 구현)

  • Kim, Hwa-Sun;Tran, Tung;Kim, Hyung-Hoi;Lee, Eun-Joo;Cho, Hune
    • Journal of Korea Multimedia Society
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    • v.9 no.8
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    • pp.1054-1066
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    • 2006
  • This study proposes a new paradigm hospital information system through the nursing classification system and design of the HL7 clinical document architecture (Health Level Seven CDA) for information-sharing among various healthcare institutions. Nursing information CDA are included coding systems of nursing diagnosis, nursing intervention, nursing activity and outcomes. And, we have developed CDA generator for active generation of XML document. This study aims to facilitate the optimum care by providing health information required for individuals to nursing specialists in real-time, to help improvements in health, to improve the quality of productive life. This study has the following significance. First, an expansion and redefining process conducted, founded on the HL7 clinical document architecture and reference information model, to apply international standards to Korean contexts. Second, we propose a next-generation web based hospital information system that is based on the clinical document architecture. In conclusion, the study of the clinical document architecture will include an electronic health record (EHR) and a clinical data repository (CDR), and also make possible healthcare information-sharing among various healthcare institutions.

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Building the Outlier Candidate Discrimination Training Data based on Inventory for Automatic Classification of Transferred Records (이관 기록물 분류 자동화를 위한 목록 기반 이상치 판별 학습데이터 구축)

  • Jeong, Ji-Hye;Lee, Gemma;Wang, Hosung;Oh, Hyo-Jung
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.1
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    • pp.43-59
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    • 2022
  • Electronic public records are classified simultaneously as production, a preservation period is granted, and after a certain period, they are transferred to an archive and preserved. This study intends to find a way to improve the efficiency in classifying transferred records and maintain consistent standards. To this end, the current record classification work process carried out by the National Archives of Korea was analyzed, and problems were identified. As a way to minimize the manual work of record classification by converging the required improvement, the process of identifying outlier candidates based on a list consisting of classified information of the transferred records was proposed and systemized. Furthermore, the proposed outlier discrimination process was applied to the actual records transferred to the National Archives of Korea. The results were standardized and constructed as a training data format that can be used for machine learning in the future.

Comparison of Cancer Nursing. Interventions Recorded in Nursing Notes with Nursing Interventions Perceived by Nurses of an Oncology Unit - Patients with Terminal Cancer - (간호일지 상의 간호중재와 지각된 간호중재의 수행빈도 비교 -말기 암환자를 중심으로-)

  • Chai Ja-Yun;Jang Keum-Seang
    • Journal of Korean Academy of Nursing
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    • v.35 no.3
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    • pp.441-450
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    • 2005
  • Purpose: The purposes of this study were to determine the core nursing interventions in nursing notes and the practice which was perceived by nurses of an oncology unit with patients with terminal cancer. Also, comparing interventions in nursing notes with interventions in perceived practice was done. Method: Subjects were 44 nursing records of patients with terminal cancer who had died from Jan. to Dec. 2002 at C University Hospital and 83 nurses who were working on an oncology unit for more than one year. Data was collected using a Nursing Interventions Classification and analyzed by means of mean and t-test. Results: The most frequent nursing intervention was 'nausea management' in the nursing note and was 'medication administration: oral' in perceived practice. The frequency of nursing interventions in the nursing record was lower than in perceived practice. Conclusion: This study finds that nurses actually practice nursing care, but they may omit records. To correct for omitted nursing records, development of a systematic nursing record system, continuous education and feedback is recommended.

A Study on the Improving Personnel System of Librarianship in Korea (한국 사서직제 개선방안에 관한 연구)

  • Yoon Hee-Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.3
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    • pp.45-73
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    • 2005
  • This study alms to suggest a new personnel system(classification of public position) for librarianship in Korea. In order to achieve this goal, the five alternative plans are analysed with respect to the grounds of an argument, merits and demerits, and its realization. In conclusion, the 'record culture group' or record information group'(tentative name), that is, a single group brought together librarian, curator, and archivist is the best alternative to establish a professional identity and social status of librarian in Korea.

A Study on the MARC Format for Authorities (전거용 MARC 포맷에 관한 연구)

  • Oh Dong-Geun
    • Journal of the Korean Society for Library and Information Science
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    • v.30 no.1
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    • pp.3-18
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    • 1996
  • This article analyzes the record structure, content designation, and the content of UNIMARC, USMARC, and KORMARC formats for authorities, through the comparative investigation, Structure and content designation are almost same with those of the bibliographic formats, being based on those of ISO 2709. The data fields of USMARC and KORMARC are divided into blocks based on the traditional authority card formats, and those of UNIMARC are divided into functional blocks based on the GARE. Record contents of the formers in the fixed-length fields include more elements on the selectioa status and scope of the heading, and those related to the series. And those of the later include more elements for the international exchange. Based on the analysis of the variable fields, it is recommended that KORMARC should include an additional subfield, say $(\blacktriangledown\;j)$ for the processing of the Hanja(Chinese character) data and add the separate classification fields for series.

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A Study on the Development of Computerized Program for the Standardized Nursing Documentation Form;Based on A University Hospital (전산화된 표준간호서식 프로그램 개발에 관한 연구;일 대학병원 중심으로)

  • Lee, So-Jung;Choi, Kyung-Sook
    • Journal of Korean Academy of Nursing Administration
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    • v.11 no.3
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    • pp.335-345
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    • 2005
  • Purpose: This study was designed to develop a computerized program for patient classification and record of basic nursing care. Method: The study was carried out from February to May 2004 at the four general wards in A university hospital using three steps; investigation of needs for program development, program design and development, and program application and evaluation. Result: Results of this study showed that users were mostly satisfied with the program and set a high value on the usefulness and performance of this program. Accordingly it was found that this program could be of help to assist nurses in classifying the patients and taking records of their nursing service. Conclusion: The program is likely to contribute to enhance the efficiency in providing appropriate and effective nursing service to the patients by easily identifying the overall particulars of patients and improving repeated manual works. And Record of basic nursing care is a part of several nursing records. As such the continual development on the computerized program for various fields of nursing service is needed.

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Electronic Government and Systematic Record Management - Based on a Methodological Application - (전자정부와 과학적 기록관리 - 방법론적 응용을 중심으로 -)

  • Kim, Ik-Han
    • The Korean Journal of Archival Studies
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    • no.2
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    • pp.49-76
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    • 2000
  • The government is pushing hard to realize the electronic and knowledge government. In connection with the efforts most public institutions have already started adopting the electronic document management system(EDMS), and have entered in a phase of modification of, and supplement to the system for the flow of the electronic documents among the agencies to be made possible by the month of November this year. The present situation is that the modification and supplement of EDMS are underway in the field that is unrelated to the records and archival management, what has been foreseen in the academic world of archival science. Under this circumstances the article places emphasis on the importance of the positive participation of the archivists in the development of the EDMS. To be concrete it reveals how the archival achievements can be practically applicable to the EDMS. What is particularly conspicuous in the article is the detailed description of how usefully control of record production, classification and description, evaluation and selection that are put into practice in the archival management law can be embodied in the development of the EDMS. Finally the article put emphasis on the positive exchanges and integration to bring the archival management science and computer science, archival management law and electronic government law, the archival management agencies and the agencies in charge of the electronic government together into whole to find a way for the methodical achievements of scientific archival management to be positively applicable to the electronic document management system(EDMS).

Knowledge Based Recommender System for Disease Diagnostic and Treatment Using Adaptive Fuzzy-Blocks

  • Navin K.;Mukesh Krishnan M. B.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.2
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    • pp.284-310
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    • 2024
  • Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.