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Integration of Postcoordination Content into a Clinical Interface Terminology to Support Administrative Coding.
Rose, Eric; Rube, Steven; Kanter, Andrew S; Cardwell, Matthew; Naeymi-Rad, Frank.
Afiliación
  • Rose E; Intelligent Medical Objects, Northbrook, Illinois, United States.
  • Rube S; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, United States.
  • Kanter AS; Intelligent Medical Objects, Northbrook, Illinois, United States.
  • Cardwell M; Intelligent Medical Objects, Northbrook, Illinois, United States.
  • Naeymi-Rad F; Department of Biomedical Informatics and Epidemiology, Columbia University, New York, New York, United States.
Appl Clin Inform ; 10(1): 51-59, 2019 01.
Article en En | MEDLINE | ID: mdl-30674041
ABSTRACT

BACKGROUND:

Clinical interface terminologies (CITs) consist of terms designed for clinical documentation and, through mappings to standardized vocabularies, to support secondary uses of patient data, including clinical decision support, quality measurement, and billing for health care services. The latter purpose requires maps to administrative coding systems, such as the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), for diagnoses in the United States.

OBJECTIVES:

The transition from ICD-9-CM to ICD-10-CM posed a challenge to CIT users due to the substantially increased details in ICD-10-CM. To address this, we developed a content layer within a CIT that provides postcoordination prompts for the details required for accurate ICD-10-CM coding.

METHODS:

We developed content to support prompting for and capture of additional information specified by the user in a single, clinically relevant term that is added to the patient's record, and whose mapping to other coding systems (like Systematized Nomenclature of Medicine-Clinical Terms [SNOMED CT]) reflects the details added during postcoordination. We worked with clinical information system developers to incorporate this into user interfaces, and with end-users to refine the design.

RESULTS:

While the prompts were designed around the precoordinated elements implicit in ICD-10-CM, irregularities in ICD-10-CM required some additional design measures, such as providing postcoordination options that interpolate gaps in ICD-10-CM to avoid user confusion. The system we describe has been implemented by ∼30,000 health care provider organizations, with content that covers the vast majority of encounter diagnoses. User feedback has been largely positive, though concerns have been raised about expanding postcoordination content beyond that required for ICD-10-CM coding.

CONCLUSION:

We have demonstrated the design and development of what, to our knowledge, is the first system that uses postcoordination to capture ICD-10-CM-relevant details in a CIT while also reflecting the details added by the user in maps to other vocabularies.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Clasificación Internacional de Enfermedades / Systematized Nomenclature of Medicine Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Appl Clin Inform Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Clasificación Internacional de Enfermedades / Systematized Nomenclature of Medicine Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Appl Clin Inform Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
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