The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures.
about
Migrating existing clinical content from ICD-9 to SNOMEDInterface terminologies: facilitating direct entry of clinical data into electronic health record systemsA review of auditing methods applied to the content of controlled biomedical terminologiesA model for evaluating interface terminologiesA comparison between a SNOMED CT problem list and the ICD-10-CM/PCS HIPAA code setsDrug safety surveillance using de-identified EMR and claims data: issues and challengesA survey of SNOMED CT direct users, 2010: impressions and preferences regarding content and qualityDetermining correspondences between high-frequency MedDRA concepts and SNOMED: a case studyDetection and characterization of usability problems in structured data entry interfaces in dentistry.Image acquisition context: procedure description attributes for clinically relevant indexing and selective retrieval of biomedical images.Toward vocabulary domain specifications for health level 7-coded data elements.Strength in numbers: exploring redundancy in hierarchical relations across biomedical terminologies.Use of SNOMED CT to represent clinical research data: a semantic characterization of data items on case report forms in vasculitis research.The basis for using the Internet to support the information needs of primary care.Medical informatics standards applicable to emergency department information systems: making sense of the jumble.Medical terminology coding systems and medicolegal death investigation data: searching for a standardized method of electronic coding at a statewide medical examiner's office.Processes and problems in the formative evaluation of an interface to the Foundational Model of Anatomy knowledge base.Representing nursing judgements in the electronic health record.Information retrieval performance of probabilistically generated, problem-specific computerized provider order entry pick-lists: a pilot study.Planned NLM/AHCPR large-scale vocabulary test: using UMLS technology to determine the extent to which controlled vocabularies cover terminology needed for health care and public healthSymbolic anatomic knowledge representation in the Read Codes version 3: structure and application.Nursing classification systems: necessary but not sufficient for representing "what nurses do" for inclusion in computer-based patient record systems.Phase II evaluation of clinical coding schemes: completeness, taxonomy, mapping, definitions, and clarity. CPRI Work Group on Codes and Structures.Evaluating the coverage of controlled health data terminologies: report on the results of the NLM/AHCPR large scale vocabulary test.The Unified Medical Language System: toward a collaborative approach for solving terminologic problemsEvaluation of the Unified Medical Language System as a medical knowledge sourceEvaluation of a "lexically assign, logically refine" strategy for semi-automated integration of overlapping terminologies.A review of major nursing vocabularies and the extent to which they have the characteristics required for implementation in computer-based systems.Read Code quality assurance: from simple syntax to semantic stability.A framework for comprehensive health terminology systems in the United States: development guidelines, criteria for selection, and public policy implications. ANSI Healthcare Informatics Standards Board Vocabulary Working Group and the Computer-BaseRepresenting nursing activities within a concept-oriented terminological system: evaluation of a type definition.Auditing the multiply-related concepts within the UMLS.Culling a clinical terminology: a systematic approach to identifying problematic content.A Survey of Direct Users and Uses of SNOMED CT: 2010 Status.Evidence-based practice for mere mortals: the role of informatics and health services research.Controlled health thesaurus for the CDC web redesign project.Coverage of oncology drug indication concepts and compositional semantics by SNOMED-CT.Feasibility of using Clinical Element Models (CEM) to standardize phenotype variables in the database of genotypes and phenotypes (dbGaP).Randomised crossover trial comparing the performance of Clinical Terms Version 3 and Read Codes 5 byte set coding schemes in general practiceAn exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT.
P2860
Q23919620-28B4725C-EE37-4C42-AF66-4947347878F7Q24554158-CF5D9F6F-E725-4EF0-A511-58BE099321E9Q24607323-DE273F2F-5963-440B-9D52-1C01AE1B779AQ28253860-D32472E0-2A79-4EFC-87C7-8D648BADB0EAQ28383611-EC8C4A05-EACF-4066-A413-3552C0BDC1EFQ28385191-FCAE6DB2-54D0-48FD-9B1A-968F89389D27Q28741328-4DC6B144-CD12-47FC-AF2A-E2F000FC0501Q30497421-33968DC9-A04A-4F94-BB6B-1E192168573AQ30528074-5645EC51-D894-423C-A888-7E7507D7DC15Q30531121-CEB2710D-87F1-43EA-9124-84846FF7611EQ30601591-7C528339-B0AF-4833-898D-A2720A595A4EQ31036274-B19C8D72-B240-41E1-949D-96C99180597FQ31046440-D2549003-020A-4365-AF24-3D5B44187EC7Q31918135-1050D12E-5E16-4D1F-AEEA-2B22D4AC7477Q33208721-9F57FE2F-319B-410A-AAD8-1E41465CD440Q33385505-B2844927-B3FB-4C87-A166-AD69C5A91A91Q33708207-120B6E23-42A8-4617-B9C5-63D842C69FBAQ33751339-6D3CA58C-E3A4-42D1-8657-04D7C714A485Q33775286-6E4AEEB5-EC25-40A4-82FC-150CD3748161Q33873324-247EE24F-D4BB-44D9-82CC-4CF5013DBC2FQ33950526-538B0476-2F19-49BC-8210-E1F4EFBF60ADQ33950570-FEE47FDE-52C7-43DD-A1F8-664710BEA4BEQ33950582-220F4D51-0E7D-46EA-BDA3-6BDB32E9F96BQ33950691-0D20395F-D79A-4F93-97B8-A0704266A41FQ33950712-4B098FD7-9377-4B4D-AD68-D95A3F4C9253Q33950742-3351EC39-469F-45E2-B616-516111506751Q33950798-D4836CF0-02FB-485F-8EF6-F8AC4B2C93CFQ33950853-3661341D-EE74-44C2-8DB6-6A0D27519336Q33950868-68452AF6-895A-4B91-A9AD-6A9117DCC52AQ33950939-1AD5E51A-EC54-4BDA-ACEB-CFF4CB7651D4Q33951285-258B7D61-89D9-4C5D-B63D-877AE835B2BDQ34235736-1DBBD770-C50A-4453-AB30-EF2647DD80DEQ34515328-7957FC43-2571-468C-A8FC-0942CB334424Q34583658-D4BF80F4-7A58-4214-B270-FEF99B4AF0BDQ34612270-848B3AEF-D033-489F-A36A-4B7CD528E7B4Q34685398-1042DDF8-E76A-4FB4-9918-6498845330B9Q34685510-68AB0B32-A2F5-4D96-A3A7-AD4DDEA80748Q34995176-132D52D0-7327-454B-8093-3249B0248F0FQ35017284-BDCA6AC7-183C-4224-ACC2-328335E06B03Q35569235-BA2C929D-7D0D-44E4-9A75-4A8771D1DF04
P2860
The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures.
description
1996 nî lūn-bûn
@nan
1996 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
1996 թվականի մայիսին հրատարակված գիտական հոդված
@hy
1996年の論文
@ja
1996年論文
@yue
1996年論文
@zh-hant
1996年論文
@zh-hk
1996年論文
@zh-mo
1996年論文
@zh-tw
1996年论文
@wuu
name
The content coverage of clinic ...... k Group on Codes & Structures.
@ast
The content coverage of clinic ...... k Group on Codes & Structures.
@en
type
label
The content coverage of clinic ...... k Group on Codes & Structures.
@ast
The content coverage of clinic ...... k Group on Codes & Structures.
@en
prefLabel
The content coverage of clinic ...... k Group on Codes & Structures.
@ast
The content coverage of clinic ...... k Group on Codes & Structures.
@en
P2093
P2860
P1476
The content coverage of clinic ...... k Group on Codes & Structures.
@en
P2093
D E Oliver
J R Campbell
K E Campbell
P2860
P304
P356
10.1136/JAMIA.1996.96310636
P577
1996-05-01T00:00:00Z