RESUMO
BACKGROUND: One of the major challenges in pediatric intensive care is the detection of life-threatening health conditions under acute time constraints and performance pressure. This includes the assessment of pediatric organ dysfunction (OD) that demands extraordinary clinical expertise and the clinician's ability to derive a decision based on multiple information and data sources. Clinical decision support systems (CDSS) offer a solution to support medical staff in stressful routine work. Simultaneously, detection of OD by using computerized decision support approaches has been scarcely investigated, especially not in pediatrics. OBJECTIVES: The aim of the study is to enhance an existing, interoperable, and rule-based CDSS prototype for tracing the progression of sepsis in critically ill children by augmenting it with the capability to detect SIRS/sepsis-associated hematologic OD, and to determine its diagnostic accuracy. METHODS: We reproduced an interoperable CDSS approach previously introduced by our working group: (1) a knowledge model was designed by following the commonKADS methodology, (2) routine care data was semantically standardized and harmonized using openEHR as clinical information standard, (3) rules were formulated and implemented in a business rule management system. Data from a prospective diagnostic study, including 168 patients, was used to estimate the diagnostic accuracy of the rule-based CDSS using the clinicians' diagnoses as reference. RESULTS: We successfully enhanced an existing interoperable CDSS concept with the new task of detecting SIRS/sepsis-associated hematologic OD. We modeled openEHR templates, integrated and standardized routine data, developed a rule-based, interoperable model, and demonstrated its accuracy. The CDSS detected hematologic OD with a sensitivity of 0.821 (95% CI: 0.708-0.904) and a specificity of 0.970 (95% CI: 0.942-0.987). CONCLUSION: We could confirm our approach for designing an interoperable CDSS as reproducible and transferable to other critical diseases. Our findings are of direct practical relevance, as they present one of the first interoperable CDSS modules that detect pediatric SIRS/sepsis-associated hematologic OD.
Assuntos
Sistemas de Apoio a Decisões Clínicas , Sepse , Humanos , Criança , Estado Terminal , Estudos Prospectivos , Sepse/diagnósticoRESUMO
A retrospective analysis of H1N1 vaccination in 127 children at ≥ 1 year after liver transplantation found only moderate acceptance (56%) of the vaccination. Physical adverse events were of moderate severity, but frequent (74%). Protection against infection was good, with infection rates of 4% in vaccinated children versus 25% in nonvaccinated children.
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Vírus da Influenza A Subtipo H1N1/imunologia , Vacinas contra Influenza/efeitos adversos , Influenza Humana/prevenção & controle , Transplante de Fígado/imunologia , Vacinação/métodos , Adolescente , Fatores Etários , Atitude do Pessoal de Saúde , Estudos de Casos e Controles , Criança , Pré-Escolar , Feminino , Seguimentos , Alemanha , Humanos , Hospedeiro Imunocomprometido , Lactente , Vírus da Influenza A Subtipo H1N1/isolamento & purificação , Vacinas contra Influenza/administração & dosagem , Transplante de Fígado/métodos , Masculino , Preferência do Paciente , Estudos Retrospectivos , Medição de Risco , Fatores Sexuais , Vacinação/efeitos adversos , Adulto JovemRESUMO
Mobile image intensifier systems (C-arms) are used frequently in orthopedic and reconstructive surgery, especially in trauma and emergency settings, but image quality and radiation exposure levels may vary widely, depending on the extent of the C-arm operator's knowledge and experience. Current training programs consist mainly of theoretical instruction in C-arm operation, the physical foundations of radiography, and radiation avoidance, and are largely lacking in hands-on application. A computer-based simulation program such as that tested by the authors may be one way to improve the effectiveness of C-arm training. In computer simulations of various scenarios commonly encountered in the operating room, trainees using the virtX program interact with three-dimensional models to test their knowledge base and improve their skill levels. Radiographs showing the simulated patient anatomy and surgical implants are "reconstructed" from data computed on the basis of the trainee's positioning of models of a C-arm, patient, and table, and are displayed in real time on the desktop monitor. Trainee performance is signaled in real time by color graphics in several control panels and, on completion of the exercise, is compared in detail with the performance of an expert operator. Testing of this computer-based training program in continuing medical education courses for operating room personnel showed an improvement in the overall understanding of underlying principles of intraoperative radiography performed with a C-arm, with resultant higher image quality, lower overall radiation exposure, and greater time efficiency. Supplemental material available at http://radiographics.rsna.org/lookup/suppl/doi:10.1148/rg.313105125/-/DC1.
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Simulação por Computador , Instrução por Computador/instrumentação , Fluoroscopia/instrumentação , Aplicações da Informática Médica , Radiologia/educação , Adulto , Feminino , Humanos , Cuidados Intraoperatórios , Masculino , Doses de Radiação , Interface Usuário-ComputadorRESUMO
Intraoperative radiography based on mobile image intensifier systems (C-arms) is widely used during the treatment of trauma and emergency patients. These devices produce scattered radiation, potential hazardous for surgeon and operation room personal (ORP). The propagation and intensity of scattered radiation is not intuitive, is not perceivable by human senses and depends on many variables. At courses on radiation protection the knowledge of the behavior of scattered radiation and the modus operandi to minimize the radiation exposure should be taught to ORP and surgeons. Currently this can only be done theoretically using fixed pictures and precalculated videos. This paper presents an approach to interactively simulate and visualize scattered radiation with a computer based training system for mobile image intensifier systems. The simulation depicts radiation propagation and intensity for arbitrary C-arm adjustments and different irradiated materials. This teaching component focuses on improving the current radiation protection training with interactive visual and practical aspects.
Assuntos
Instrução por Computador/métodos , Modelos Teóricos , Doses de Radiação , Proteção Radiológica/métodos , Radiografia Intervencionista/métodos , Saúde Radiológica/educação , Interface Usuário-Computador , Carga Corporal (Radioterapia) , Simulação por Computador , Alemanha , HumanosRESUMO
PURPOSE: Scattered radiation, which occurs when using a C-arm for intraoperative radiography, can be better understood through interactive visualization. We developed a virtual reality (VR) approach for the simulation of scattered radiation (SSR) as part of a C-arm training system. In VR, it is important to avoid cyber sickness, which is often caused by increased latency between head motion and image presentation inside the head-mounted display. As the latency requirement interferes with the computational complexity of the SSR, the goal has been to maintain a low latency during the simultaneous computation of the SSR on moderate-cost consumer hardware. METHODS: For use with a VR C-arm simulator, a CUDA-based Monte Carlo SSR has been improved to utilize GPU resources unused by the VR image generation. Resulting SSR data are visualized through volume rendering with pseudo-colored scattered radiation superimposed onto the virtual operating room. The resulting interactive VR-SSR environment was evaluated with operating room personnel (ORP) and surgeons using questionnaires. RESULTS: Depending on the imaged body part and computation parameters, the required computation time to complete one SSR run was between 1.6 and 4.2 s (ankle) and between 7.9 and 14.9 s (thigh), and VR frame times from 11 to 12 ms (95th percentile). The system was evaluated with ORP (n = 46) and surgeons (n = 25). The median of professional C-arm experience was 5 (range 1 to 34) years (ORP) and 12.5 (range 2 to 48) years (surgeons), respectively. The demonstrated prototype was found useful by 78% of ORP and 88% of the surgeons. On a Likert scale, more than 90% of both groups "agreed fully" that the presented way of visualizing SSR in VR helps understanding intraoperative exposure to scattered radiation. CONCLUSIONS: Leveraging off-the-shelf computer equipment, the feasibility of SSR and VR for interactive training has been demonstrated. Evaluation participants showed a high interest for the presented approach. Feedback suggests that the visualization experienced by the users helps understanding radiation hazards in the operating room.
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Realidade Virtual , Simulação por Computador , Retroalimentação , Humanos , Monitorização Intraoperatória , Salas Cirúrgicas , Espalhamento de Radiação , Treinamento por Simulação , Cirurgiões , Interface Usuário-ComputadorRESUMO
Within the HiGHmeducation consortium various online learning modules shall be developed by members of the consortium to address the increasing need for skilled professionals in a networked and digitalized healthcare system. Transferability of these modules to other locations is one main objective for the design of online learning modules. Thus, a didactical framework for online learning modules was developed. To ensure feasibility of the framework, the participating universities were analyzed concerning availability of e-learning support structures and infrastructures including learning management systems (LMS). The analysis especially focuses on the various LMS learning tools and their suitability for the framework. The framework is the basis for 12 HiGHmeducation online learning modules of which a part has firstly been conducted in winter 2019/20 and leads to a comparable structure of the modules.
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Educação a Distância , Informática Médica , Aprendizagem , UniversidadesRESUMO
PURPOSE: To discuss an approach to improve education in C-arm operation and reduction of radiation hazards based on a computer based training and simulation system called virtX. METHODS: virtX is equipped with a visualization of scattered radiation and means to include patient positioning changes in radiograph simulation. virtX was integrated in a course for ORP and evaluated based on questionnaires. RESULTS: Response rate was 73 (n = 77), mean age 35.4 (+/-9.2) and professional experience 11.2+/- 10.4 years. 91% use a C-arm regularly, 8% casually and 1% not. 78% agree that the translation of patient dummy positioning changes to simulated X-ray images is sufficiently realistic, 1% disagree (neutral 17%). 79% state that they acquired new knowledge concerning avoiding unnecessary radiation exposure, 10% do not (neutral 11%). CONCLUSIONS: The virtX-approach of simulating radiograph generation including patient positioning and scattered radiation was evaluated positively concerning its suitability for imparting knowledge regarding radiation protection and C-arm operation.