A Controlled Terminology for Diagnoses and Findings in General Dentistry

普通牙科诊断和发现的受控术语

• 批准号: 7293042
• 负责人: TITUS K. SCHLEYER
• 金额: $ 21.93万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7293042
• 关键词: Address; Adoption; American Dental Association; Architecture; Caring; Classification; Clinical; Code; Collection; Condition; Decision Making; Dental; Dental General Practice; Dental Hygienists; Dentistry; Dentists; Development; Diagnosis; Diagnostic; Documentation; Education; Environment; Evaluation; Frequencies; Goals; Health; Health Policy; Health Status; Healthcare; Human Resources; Individual; International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10); Knowledge; Localized; Mainstreaming; MeSH Thesaurus; Measures; Medical; Methods; Nomenclature; Oral health; Outcome; Patients; Persons; Population Group; Practice based research; Property; Protocols documentation; Purpose; Qualifier; Recommendation; Research; Research Infrastructure; Research Project Grants; Role; Sampling; Score; Source; Specialist; Speed; Standards of Weights and Measures; Structure; System; Systematized Nomenclature of Medicine; Terminology; Testing; Time; To specify; Training; Translations; Update; Validation; Vocabulary; Work; base; concept; improved; research to practice; tool; treatment planning

DESCRIPTION (provided by applicant): The absence of a validated, broadly accepted terminology for Dental findings and diagnoses is a significant barrier to systematically measuring and improving oral health. In 1999, the American Dental Association released the Systematic Nomenclature of Dentistry (SNODENT); however, this terminology has not been evaluated, nor is it in use, in clinical Dentistry. Dental concepts have increasingly appeared in both standalone/localized and mainstream healthcare terminologies, but little is known about the domain coverage of these terminologies. The objective of this application is to measure the coverage of diagnoses and findings commonly used in general Dental practice by several healthcare terminologies (including SNODENT), and to use the results to develop SNODENT into a validated clinical reference terminology for this domain. Our first Aim is to collect clinical concepts from diagnostic work-ups and treatment planning of 20 patient cases by 10 general Dentists, and by observing 120 initial patient examinations performed by 40 general Dentists. Using the NLM MetaMap Transfer tool, a training set (80% of the collected concepts) will be matched against SNODENT, SNOMED, MeSH and ICD-10 using a five-item scale: "exact match (4),", "lexically equivalent match (3)," "semantically equivalent match (2)," "partial match (1)," and "no match (0). "We posit that no more than 60% of the concepts will have a "good match," i.e. a score better than 1, in any of the target terminologies. Our second Aim is to convert SNODENT to the structure of SNOMED-CT, and to update and modify its content to improve domain coverage. An expert group composed of 12 terminology specialists, Dental informaticians, Dentists and Dental hygienists will recommend changes to SNODENT, which will be implemented by project staff. We will use the Terminology of Apelon Development Environment to specify concepts and their properties, qualifiers, roles and associations. We will then repeat the evaluation performed in Specific Aim 1 using a test set (20% of the concepts). Our working hypothesis is that the "new SNODENT" will have more than 80% "good matches" in this pilot evaluation. In both Specific Aims, we will use existing Dental findings and diagnosis vocabularies to provide external validation of our results. The reference terminology we propose to develop will have multiple benefits. First, it can serve as a source of developing derived, specialized terminologies, such as a reason-for-treatment classification. Second, over the long term, we expect it to facilitate significant advances in measuring and improving oral health status at the individual, group and population level; enabling evidence-based Dentistry; speeding the translation of research into practice; and easing the exchange of oral health information in the context of the NHII.

描述(由申请人提供)：缺乏有效的、被广泛接受的牙科发现和诊断术语是系统测量和改善口腔健康的重大障碍。1999年，美国牙科协会发布了牙科系统命名法(SNODENT)；然而，这个术语在临床牙科中还没有被评估，也没有被使用。牙科概念越来越多地出现在独立/本地化和主流医疗保健术语中，但对这些术语的领域覆盖范围知之甚少。此应用程序的目标是测量几个医疗保健术语(包括SNODENT)对一般牙科实践中常用的诊断和发现的覆盖范围，并使用结果将SNODENT开发为该领域的经验证的临床参考术语。我们的第一个目标是从10名普通牙科医生对20例患者的诊断工作和治疗计划中收集临床概念，并通过观察40名普通牙科医生进行的120次患者初步检查来收集临床概念。使用NLM MetaMap传输工具，训练集(收集的概念的80%)将使用五个条目的标度与SNODENT、SNOMED、MESH和ICD-10进行匹配：“精确匹配(4)”、“词汇等价匹配(3)”、“语义等价匹配(2)”、“部分匹配(1)”和“不匹配(0)”。我们假设，在任何目标术语中，不超过60%的概念具有“良好匹配”，即得分高于1。我们的第二个目标是将SNODENT转换为SNOMED-CT的结构，并更新和修改其内容以提高领域覆盖率。由12名术语专家、牙科信息学家、牙科医生和牙科卫生师组成的专家组将建议对SNODENT进行修改，并将由项目工作人员实施。我们将使用Apelon开发环境的术语来指定概念及其属性、限定符、角色和关联。然后，我们将使用测试集(20%的概念)重复在特定目标1中执行的评估。我们的工作假设是，在这次试点评估中，“新SNODENT”将有超过80%的“好匹配”。在这两个具体目标中，我们将使用现有的牙科发现和诊断词汇来为我们的结果提供外部验证。我们建议开发的参考术语将有多个好处。首先，它可以作为发展派生的专门术语的来源，例如治疗原因分类。其次，从长远来看，我们预计它将促进在个人、群体和人口层面衡量和改善口腔健康状况的重大进展；使循证牙科成为可能；加快将研究转化为实践；以及在NHII的背景下简化口腔健康信息的交流。