Producción científica2021· Digital Dental Implantology: From Treatment Planning to Guided Surgery (Springer)
CAI: Computer-Assisted Imaging
AutoresNicolás A. Rubio
Por qué importa
Este artículo, publicado en 2021 en 'Digital Dental Implantology: From Treatment Planning to Guided Surgery', revisa la aplicación de la imagen asistida por ordenador (CAI) en el ámbito de la implantología dental. Si bien el abstract proporcionado se centra en metodologías de investigación cualitativa para la seguridad del paciente en servicios de ambulancia, el título del artículo sugiere una exploración detallada de cómo las tecnologías de imagen asistida por computadora se integran en la planificación del tratamiento y la cirugía guiada en implantología. Para los odontólogos, comprender estas herramientas es crucial, ya que la CAI permite una visualización tridimensional precisa de la anatomía del paciente, facilitando la planificación prequirúrgica de implantes dentales con mayor predictibilidad y reduciendo riesgos durante el procedimiento. El dominio de estas tecnologías digitales es fundamental para optimizar los resultados clínicos y mejorar la experiencia del paciente en la rehabilitación con implantes.
Paramedics make important and increasingly complex decisions at scene about patient care. Patient safety implications of influences on decision making in the pre-hospital setting were previously under-researched. Cutting edge perspectives advocate exploring the whole system rather than individual influences on patient safety. Ethnography (the study of people and cultures) has been acknowledged as a suitable method for identifying health care issues as they occur within the natural context. In this paper we compare multiple methods used in a multi-site, qualitative study that aimed to identify system influences on decision making. The study was conducted in three NHS Ambulance Trusts in England and involved researchers from each Trust working alongside academic researchers. Exploratory interviews with key informants e.g. managers (n = 16) and document review provided contextual information. Between October 2012 and July 2013 researchers observed 34 paramedic shifts and ten paramedics provided additional accounts via audio-recorded 'digital diaries' (155 events). Three staff focus groups (total n = 21) and three service user focus groups (total n = 23) explored a range of experiences and perceptions. Data collection and analysis was carried out by academic and ambulance service researchers as well as service users. Workshops were held at each site to elicit feedback on the findings and facilitate prioritisation of issues identified. The use of a multi-method qualitative approach allowed cross-validation of important issues for ambulance service staff and service users. A key factor in successful implementation of the study was establishing good working relationships with academic and ambulance service teams. Enrolling at least one research lead at each site facilitated the recruitment process as well as study progress. Active involvement with the study allowed ambulance service researchers and service users to gain a better understanding of the research process. Feedback workshops allowed stakeholders to discuss and prioritise findings as well as identify new research areas. Combining multiple qualitative methods with a collaborative research approach can facilitate exploration of system influences on patient safety in under-researched settings. The paper highlights empirical issues, strengths and limitations for this approach. Feedback workshops were effective for verifying findings and prioritising areas for future intervention and research.
Rubio NA. CAI: Computer-Assisted Imaging. Digital Dental Implantology: From Treatment Planning to Guided Surgery (Springer). 2021. doi:10.1007/978-3-030-65947-9_1
