Chronically ill patients are complex health care cases that require the coordinated interaction of multiple professionals. A correct intervention of these sort of patients entails the accurate analysis of the conditions of each concrete patient and the adaptation of evidence-based standard intervention plans to these conditions. There are some other clinical circumstances such as wrong diagnoses, unobserved comorbidities, missing information, unobserved related diseases or prevention, whose detection depends on the capacities of deduction of the professionals involved. In this paper, we introduce an ontology for the care of chronically ill patients and implement two personalization processes and a decision support tool. The first personalization process adapts the contents of the ontology to the particularities observed in the health-care record of a given concrete patient, automatically providing a personalized ontology containing only the clinical information that is relevant for health-care professionals to manage that patient. The second personalization process uses the personalized ontology of a patient to automatically transform intervention plans describing health-care general treatments into individual intervention plans. For comorbid patients, this process concludes with the semi-automatic integration of several individual plans into a single personalized plan. Finally, the ontology is also used as the knowledge base of a decision support tool that helps health-care professionals to detect anomalous circumstances such as wrong diagnoses, unobserved comorbidities, missing information, unobserved related diseases, or preventive actions. Seven health-care centers participating in the K4CARE project, together with the group SAGESA and the Local Health System in the town of Pollenza have served as the validation platform for these two processes and tool. Health-care professionals participating in the evaluation agree about the average quality 84% (5.9/7.0) and utility 90% (6.3/7.0) of the tools and also about the correct reasoning of the decision support tool, according to clinical standards.
Objective:
To determine whether exposure to an immersive virtual reality curriculum on pediatric respiratory distress improves medical students’ recognition of impending respiratory failure.
Design:
Randomized, controlled, prospective study conducted from July 2017 to June 2018. Evaluators blinded to student groupings.
Setting:
Academic, free-standing children’s hospital.
Participants:
All third-year medical students (n = 168) were eligible. The standard curriculum was delivered to all students during their pediatric rotation with optional inclusion of research data per Institutional Review Board review. A randomized selection of students was exposed to the virtual reality curriculum.
Intervention:
All students received standard training on respiratory distress through didactics and high-fidelity mannequin simulation. Intervention students underwent an additional 30-minute immersive virtual reality curriculum, experienced through an OculusRift headset, with three simulations of an infant with 1) no distress, 2) respiratory distress, and 3) impending respiratory failure.
Measurements and Main Results:
The impact of the virtual reality curriculum on recognition/interpretation of key examination findings, assignment of an appropriate respiratory status assessment, and recognition of the need for escalation of care for patients in impending respiratory failure was assessed via a free response clinical assessment of video vignettes at the end of the pediatric rotation. Responses were scored on standardized rubrics by physician experts. All eligible students participated (78 intervention and 90 control). Significant differences between intervention and control were demonstrated for consideration/interpretation of mental status (p < 0.01), assignment of the appropriate respiratory status assessment (p < 0.01), and recognition of a need for escalation of care (p = 0.0004).
Conclusions:
Exposure to an immersive virtual reality curriculum led to improvement in objective competence at the assessment of respiratory distress and recognition of the need for escalation of care for patients with signs of impending respiratory failure. This study represents a novel application of immersive virtual reality and suggests that it may be effective for clinical assessment training.
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