Interdisciplinary handover between obstetric nursing and neonatal physician teams: An observational study

Objective: We investigated the content and quality of communication of interservice interprofessional handover between obstetric nurses and neonatal physicians for high-risk deliveries. Design: Observational study. Setting: Labour and delivery unit at a tertiary care hospital. Method: We audio-recorded handovers between obstetric and neonatal teams (n=50) and conducted clinician interviews (n=29). A handover content framework was developed and used to qualitatively code missing core and ancillary content and their potential for adverse events. Results: 26 (52%) handovers missed one or more clinical content elements; a third of the handovers missed at least one core clinical content element. Increase in the number of missed clinical content elements increased the odds of potential adverse events by 2.39 (95% CI1.18 to 5.37). Both residents and nurses perceived handovers to be of low quality and inconsistent and attributed it to the lack of a structured handover process. Conclusion: Streamlining handover processes by instituting standardisation approaches for both information organisation and communication can improve the quality of neonatal handovers

Scientific evidence in advanced care nursing consultation and the use of standardized terminologies / Evidências científicas na consulta de enfermagem em cuidado avançado e o emprego das terminologias padronizadas

Objective: to identify, through scientific evidence in the consultation of nurses in advanced care, the use of standardized terminologies in the stages of the nursing process in care contexts. Methodology: integrative review carried out in six stages. Results: 14 articles were selected. The standardized terminologies most used by nurses during nursing consultations were ICNP® (65%), followed by NNN-NANDA-I, NOC and NIC (21%); NOC (7%); ICNP®, NNN and Omaha System (7%). 43% use standardized language in the stages of diagnosis, outcome and intervention. Regarding the care context, the use of standardized nursing terminologies was used by 36% in a hospital environment, 14% in Home Care, 14% in Primary Health Care, 7% in a private clinic and 29% were not informed. Conclusion: the most used standardized terminology was ICNP® (65%), in the stages of diagnosis, outcome and intervention (43%) in the hospital environment (36%).Objetivo: identificar, por medio de las evidencias científicas en la consulta del enfermero en cuidado avanzado, el empleo de las terminologías estandarizadas en las etapas del proceso de enfermería en contextos de cuidado. Metodología: revisión integradora realizada en seis etapas. Resultados: se seleccionaron 14 artículos. Las terminologías estandarizadas más utilizadas por las enfermeras durante las consultas de enfermería fueron CIPE® (65%), seguida de NNN- NANDA-I, NOC y NIC (21%); NOC (7%); CIPE®, NNN y Omaha System (7%). El 43% utilizó el lenguaje estandarizado en las etapas de diagnóstico, resultado e intervención. En lo que respecta al contexto de la atención, el uso de las terminologías denominadas de enfermería se empleó en un 36% en el entorno hospitalario, en un 14% en la atención domiciliaria, en un 14% en la atención primaria a la salud, en un 7% en clínica privada y un 29% no fueron informados. Conclusión: la terminología estandarizada más utilizada fue la CIPE® (65%), en las etapas de diagnóstico, resultado e intervención (43%) en el ámbito hospitalario (36%).Objetivo: identificar, pelas evidências científicas na consulta do enfermeiro em cuidado avançado, o emprego das terminologias padronizadas nas etapas do processo de enfermagem em contextos de cuidado. Método: revisão integrativa realizada em seis etapas. Resultados: foram selecionados 14 artigos. As terminologias padronizadas mais utilizadas pelo enfermeiro durante as consultas de enfermagem foram a CIPE® (65%), seguida da NNN- NANDA-I, NOC e NIC (21%); NOC (7%); CIPE®, NNN e Omaha System (7%). 43% utilizam a linguagem padronizada nas etapas de diagnóstico, resultado e intervenção. A respeito do contexto de cuidado, o uso de terminologias padronizadas de enfermagem era empregado 36% em ambiente hospitalar, 14% em Home Care, 14% em Atenção Primária à Saúde, 7% em clínica privada e 29% não foram informados. Conclusão: a terminologia padronizada mais utilizada foi a CIPE® (65%), nas etapas de diagnóstico, resultado e intervenção (43%) no ambiente hospitalar (36%).

Scientific evidence in advanced care nursing consultation and the use of standardized terminologies / Evidências científicas na consulta de enfermagem em cuidado avançado e o emprego das terminologias padronizadas

Objetivo: identificar, pelas evidências científicas na consulta do enfermeiro em cuidado avançado, o emprego das terminologias padronizadas nas etapas do processo de enfermagem em contextos de cuidado. Método: revisão integrativa realizada em seis etapas. Resultados: foram selecionados 14 artigos. As terminologias padronizadas mais utilizadas pelo enfermeiro durante as consultas de enfermagem foram a CIPE® (65%), seguida da NNN- NANDA-I, NOC e NIC (21%); NOC (7%); CIPE®, NNN e Omaha System (7%). 43% utilizam a linguagem padronizada nas etapas de diagnóstico, resultado e intervenção. A respeito do contexto de cuidado, o uso de terminologias padronizadas de enfermagem era empregado 36% em ambiente hospitalar, 14% em Home Care, 14% em Atenção Primária à Saúde, 7% em clínica privada e 29% não foram informados. Conclusão: a terminologia padronizada mais utilizada foi a CIPE® (65%), nas etapas de diagnóstico, resultado e intervenção (43%) no ambiente hospitalar (36%).

Knowledge representation and text mining in biomedical, healthcare, and political domains

Knowledge representation and text mining can be employed to discover new knowledge and develop services by using the massive amounts of text gathered by modern information systems. The applied methods should take into account the domain-specific nature of knowledge. This thesis explores knowledge representation and text mining in three application domains. Biomolecular events can be described very precisely and concisely with appropriate representation schemes. Protein–protein interactions are commonly modelled in biological databases as binary relationships, whereas the complex relationships used in text mining are rich in information. The experimental results of this thesis show that complex relationships can be reduced to binary relationships and that it is possible to reconstruct complex relationships from mixtures of linguistically similar relationships. This encourages the extraction of complex relationships from the scientific literature even if binary relationships are required by the application at hand. The experimental results on cross-validation schemes for pair-input data help to understand how existing knowledge regarding dependent instances (such those concerning protein–protein pairs) can be leveraged to improve the generalisation performance estimates of learned models. Healthcare documents and news articles contain knowledge that is more difficult to model than biomolecular events and tend to have larger vocabularies than biomedical scientific articles. This thesis describes an ontology that models patient education documents and their content in order to improve the availability and quality of such documents. The experimental results of this thesis also show that the Recall-Oriented Understudy for Gisting Evaluation measures are a viable option for the automatic evaluation of textual patient record summarisation methods and that the area under the receiver operating characteristic curve can be used in a large-scale sentiment analysis. The sentiment analysis of Reuters news corpora suggests that the Western mainstream media portrays China negatively in politics-related articles but not in general, which provides new evidence to consider in the debate over the image of China in the Western media