• Title/Summary/Keyword: Systematized nomenclature of medicine

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Nomenclature of emerging therapeutics in neurology

  • Shin, Jin-Hong;Park, Young-Eun;Kim, Dae-Seong
    • Annals of Clinical Neurophysiology
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    • v.23 no.1
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    • pp.29-34
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    • 2021
  • New therapeutics in neurology are expanding at an unprecedented pace. In addition to the classic enzyme-replacement therapies, monoclonal antibodies are increasingly being used to modulate autoimmunity. RNA therapeutics are an emerging class, together with gene and cell therapies. The nomenclature of international nonproprietary names helps us to recognize these new drugs according to their class and function. Suffixes denote major categories of the drug, while infixes provide additional information such as the source and target.

Computer-based clinical coding activity analysis for neurosurgical terms

  • Lee, Jong Hyuk;Lee, Jung Hwan;Ryu, Wooseok;Choi, Byung Kwan;Han, In Ho;Lee, Chang Min
    • Journal of Yeungnam Medical Science
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    • v.36 no.3
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    • pp.225-230
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    • 2019
  • Background: It is not possible to measure how much activity is required to understand and code a medical data. We introduce an assessment method in clinical coding, and applied this method to neurosurgical terms. Methods: Coding activity consists of two stages. At first, the coders need to understand a presented medical term (informational activity). The second coding stage is about a navigating terminology browser to find a code that matches the concept (code-matching activity). Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) was used for the coding system. A new computer application to record the trajectory of the computer mouse and record the usage time was programmed. Using this application, we measured the time that was spent. A senior neurosurgeon who has studied SNOMED CT has analyzed the accuracy of the input coding. This method was tested by five neurosurgical residents (NSRs) and five medical record administrators (MRAs), and 20 neurosurgical terms were used. Results: The mean accuracy of the NSR group was 89.33%, and the mean accuracy of the MRA group was 80% (p=0.024). The mean duration for total coding of the NSR group was 158.47 seconds, and the mean duration for total coding of the MRA group was 271.75 seconds (p=0.003). Conclusion: We proposed a method to analyze the clinical coding process. Through this method, it was possible to accurately calculate the time required for the coding. In neurosurgical terms, NSRs had shorter time to complete the coding and higher accuracy than MRAs.

Design and Implementation of Extracting Medical Terms Using Web Mining (웹 마이닝을 활용한 의학 용어 추출 시스템 설계 및 구현)

  • Choi, Wook-Hwan;Shin, Jung-Hoon;Lee, Sang-Jun
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.56-59
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    • 2011
  • 최근 방대해진 의료 정보 관리와 통합을 위해 다양한 전자기록 시스템이 개발되어왔다. 이 중에 EMR(Electronic Medical Record)은 병원 내의 의료 정보를 전산으로 처리하는 것이다. 이때 많은 의학 용어가 사용되는데 이것을 체계적으로 지원하기 위해 SNOMED(Systematized Nomenclature of Medicine)와 같은 용어 체계가 필요하다. 본 논문에서는 이러한 용어 체계를 위해 의학 용어를 자동으로 구축하는 시스템을 제안하고자 한다. 제안한 시스템은 웹 마이닝을 통해 자동으로 웹에서 데이터를 수집하고 분류해서 의학 용어 데이터를 구축하게 된다.

Burden of Psychiatric Disorders among Pediatric and Young Adults with Inflammatory Bowel Disease: A Population-Based Analysis

  • Thavamani, Aravind;Umapathi, Krishna Kishore;Khatana, Jasmine;Gulati, Reema
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.22 no.6
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    • pp.527-535
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    • 2019
  • Purpose: There is increasing prevalence of psychiatric disorders among inflammatory bowel Disease (IBD) population. Further, presence of psychiatric disorders has been shown as an independent predictor of quality of life among patients with IBD. We intended to explore the prevalence of various psychiatric disorders among pediatric and young adult population with IBD as a population-based analysis. Methods: We did a retrospective case control analysis using a deidentified cloud-based database including health care data across 26 health care networks comprising of more than 360 hospitals across USA. Data collected across different hospitals were classified and stored according to Systematized Nomenclature of Medicine-Clinical Terms. We preidentified 10 psychiatric disorders and the queried the database for the presence of at least one of the ten psychiatric disorders among IBD patients between 5 and 24 years of age and compared with controls. Results: Total of 11,316,450 patients in the age group between 5 and 24 years and the number of patients with a diagnosis of IBD, Crohn's disease or ulcerative colitis were 58,020. The prevalence of psychiatric disorders was 21.6% among IBD mainly comprising of depression and anxiety disorder. Multiple logistic regression analysis showed, IBD is 5 times more likely associated with psychiatric disorders than controls, p<0.001). We showed a steady increasing trend in the incidence of psychiatric disorders among IBD patients (2% in 2006 to 15% in 2017). Conclusion: Largest population-based analysis demonstrated an increased prevalence of psychiatric disorders among IBD patients. Our study emphasizes the need for psychological and mental health services to be incorporated as a part of the routine IBD clinic.

Construction of the Nursing Diagnosis Ontology in Obstetric and Gynecologic Nursing Unit using Nursing Process and SNOMED CT (산부인과 간호단위의 간호과정과 SNOMED CT를 이용한 간호진단 온톨로지의 구축)

  • Park, Jeong-Eun;Chung, Kwi-Ae;Cho, Hune;Kim, Hwa Sun
    • Women's Health Nursing
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    • v.19 no.1
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    • pp.1-12
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    • 2013
  • Purpose: This study was performed to propose an ontology methodology based on standardized nursing process as framework in obstetric and gynecologic nursing practice. Methods: The instrument used in this study was based on the nursing diagnosis classification established by North American Nursing Diagnosis Association (NANDA) (2009-2011), fifth edition of the Nursing Interventions Classification (NIC) (2008), forth edition of the Nursing Outcomes Classification (NOC) (2008) developed by Iowa State University and systematized nomenclature of medicine clinical terms (SNOMED CT). The nursing records data were collected from electronic medical records of one hospital from August to October 2010. Results: One hundred and forty-one nursing diagnosis statements used in obstetric and gynecologic nursing unit were linked standardized nursing classifications and constructed nursing diagnosis ontology including interoperability. Conclusion: Not only will this result be helpful to complete nurse's lack of knowledge and experience, it will also help to determine nursing diagnosis logically by using standardized nursing process. It will be utilized as the method to construct ontology including interoperability in other nursing units. It will be presented nursing interventions according to nursing diagnosis and thus will be easier to establish nursing planning. This can provide immediate feedback of the nursing process application.