Preconditions for Processing Electronic Medical Records

被引:0
|
作者
Fraczkowski, Kazimierz [1 ]
Mazur, Zygmunt [1 ]
Mazur, Hanna [1 ]
机构
[1] Wroclaw Univ Technol, Fac Comp Sci & Management, Inst Comp Sci, PL-50370 Wroclaw, Poland
关键词
electronic medical records; metadata;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the abundance and diversity of document types (both external and internal ones), the process of switching to electronic medical records requires a number of organizational, technical and legislative adjustments. The development of those processes and the current stage of works are described in this article. The first step in selecting documents that will become subject to electronic storage and processing in the first place was a survey in which respondents of nine Regional Project consortiums chose medical records most frequently used in business processes conducted by service providers. Based on the Pareto principle, 20% of medical records used in 80% of medical services provided were identified.
引用
收藏
页码:504 / 514
页数:11
相关论文
共 50 条
  • [41] Electronic Medical Records and Electronic Health Records: Overview for Nurse Practitioners
    McMullen, Patricia C.
    Howie, William O.
    Philipsen, Nayna
    Bryant, Virletta C.
    Setlow, Patricia D.
    Calhoun, Mona
    Green, Zakevia D.
    JNP-JOURNAL FOR NURSE PRACTITIONERS, 2014, 10 (09): : 56 - 61
  • [42] CliniViewer: A tool for viewing electronic medical records based on natural language processing and XML
    Liu, HF
    Friedman, C
    MEDINFO 2004: PROCEEDINGS OF THE 11TH WORLD CONGRESS ON MEDICAL INFORMATICS, PT 1 AND 2, 2004, 107 : 639 - 643
  • [43] Improving Adherence to Clinical Pathways Through Natural Language Processing on Electronic Medical Records
    Cruz, Noa P.
    Canales, Lea
    Garcia Munoz, Javier
    Perez, Bernardino
    Arnott, Ignacio
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 561 - 565
  • [44] CliniViewer: A tool for viewing electronic medical records based on natural language processing and XML
    Liu, Hongfang
    Friedman, Carol
    Studies in Health Technology and Informatics, 2004, 107 : 639 - 643
  • [45] Ascertainment of asthma prognosis using natural language processing from electronic medical records
    Sohn, Sunghwan
    Wi, Chung-Il
    Wu, Stephen T.
    Liu, Hongfang
    Ryu, Euijung
    Krusemark, Elizabeth
    Seabright, Alicia
    Voge, Gretchen A.
    Juhn, Young J.
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2018, 141 (06) : 2292 - 2294
  • [46] A Natural Language Processing Alogrithm for Identification of Patients With Cirrhosis From Electronic Medical Records
    Kung, Robert
    Ma, Ariel
    Dever, John B.
    Vadivelu, Jaya
    Cherk, Erika
    Koola, Jejo D.
    Groessl, Erik J.
    Matheny, Michael E.
    Ho, Samuel B.
    GASTROENTEROLOGY, 2015, 148 (04) : S1071 - S1072
  • [47] Validation of Psoriatic Arthritis Diagnoses in Electronic Medical Records Using Natural Language Processing
    Love, Thorvardur Jon
    Cai, Tianxi
    Karlson, Elizabeth W.
    SEMINARS IN ARTHRITIS AND RHEUMATISM, 2011, 40 (05) : 413 - 420
  • [48] RUBY: Natural Language Processing of French Electronic Medical Records for Breast Cancer Research
    Schiappa, Renaud
    Contu, Sara
    Culie, Dorian
    Thamphya, Brice
    Chateau, Yann
    Gal, Jocelyn
    Bailleux, Caroline
    Haudebourg, Juliette
    Ferrero, Jean-Marc
    Barranger, Emmanuel
    Chamorey, Emmanuel
    JCO CLINICAL CANCER INFORMATICS, 2022, 6 : e2100199
  • [49] Development of phenotype algorithms using electronic medical records and incorporating natural language processing
    Liao, Katherine P.
    Cai, Tianxi
    Savova, Guergana K.
    Murphy, Shawn N.
    Karlson, Elizabeth W.
    Ananthakrishnan, Ashwin N.
    Gainer, Vivian S.
    Shaw, Stanley Y.
    Xia, Zongqi
    Szolovits, Peter
    Churchill, Susanne
    Kohane, Isaac
    BMJ-BRITISH MEDICAL JOURNAL, 2015, 350
  • [50] Medical records and electronic documents: A proposal
    Laforest, F
    Flory, A
    MEDINFO 2001: PROCEEDINGS OF THE 10TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2, 2001, 84 : 633 - 637