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1.
Comput Inform Nurs ; 39(4): 208-214, 2020 Nov 02.
Artigo em Inglês | MEDLINE | ID: mdl-33136611

RESUMO

It is clear that interdisciplinary communication and collaboration have the potential to mitigate healthcare-associated harm, yet there is limited research on how communication through documentation in the patient record can support collaborative decision making. Understanding what information is needed to support collaborative decision making is necessary to design electronic health information systems that facilitate effective communication and, ultimately, safe care. To explore this issue, we focused on information needs related to central venous catheter management and the prevention of central line-associated blood stream infections. Semistructured interviews were conducted with nurses working in an intensive care unit. Interview transcripts were analyzed using inductive thematic analysis. Three themes were identified: (1) challenges managing documentation in multiple places in the absence of formal documentation processes for central venous catheter management; (2) lack of standardized decision-making processes for managing central venous catheters; and (3) oral communication holds it together. Our findings provide a foundation for the development of EHR functional requirements that enhance communication regarding the management of central venous catheters and facilitate the prompt removal of unnecessary lines.


Assuntos
Infecções Relacionadas a Cateter/prevenção & controle , Cateterismo Venoso Central/normas , Comportamento Cooperativo , Tomada de Decisões , Documentação/normas , Comunicação Interdisciplinar , Enfermagem de Cuidados Críticos , Registros Eletrônicos de Saúde/organização & administração , Humanos , Unidades de Terapia Intensiva , Entrevistas como Assunto , Pesquisa Qualitativa
2.
Int J Med Inform ; 133: 104016, 2020 01.
Artigo em Inglês | MEDLINE | ID: mdl-31707264

RESUMO

OBJECTIVES: Nurse concerns documented in nursing notes are important predictors of patient risk of deterioration. Using a standard nursing terminology and inputs from subject-matter experts (SMEs), we aimed to identify and define nurse concern concepts and terms about patient deterioration, which can be used to support subsequent automated tasks, such as natural language processing and risk predication. METHODS: Group consensus meetings with nurse SMEs were held to identify nursing concerns by grading Clinical Care Classification (CCC) system concepts based on clinical knowledge. Next, a fundamental lexicon was built placing selected CCC concepts into a framework of entities and seed terms to extend CCC granularity. RESULTS: A total of 29 CCC concepts were selected as reflecting nurse concerns. From these, 111 entities and 586 seed terms were generated into a fundamental lexicon. Nursing concern concepts differed across settings (intensive care units versus non-intensive care units) and unit types (medicine versus surgery units). CONCLUSIONS: The CCC concepts were useful for representing nursing concern as they encompass a nursing-centric conceptual framework and are practical in lexicon construction. It enabled the codification of nursing concerns for deteriorating patients at a standardized conceptual level. The boundary of selected CCC concepts and lexicons were determined by the SMEs. The fundamental lexicon offers more granular terms that can be identified and processed in an automated fashion.


Assuntos
Terminologia Padronizada em Enfermagem , Humanos , Unidades de Terapia Intensiva , Processamento de Linguagem Natural , Enfermeiras e Enfermeiros
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