2 research outputs found

    Telemedicine Training in Undergraduate Medical Education: Mixed-Methods Review.

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    BACKGROUND: Telemedicine has grown exponentially in the United States over the past few decades, and contemporary trends in the health care environment are serving to fuel this growth into the future. Therefore, medical schools are learning to incorporate telemedicine competencies into the undergraduate medical education of future physicians so that they can more effectively leverage telemedicine technologies for improving the quality of care, increasing patient access, and reducing health care expense. This review articulates the efforts of allopathic-degree-granting medical schools in the United States to characterize and systematize the learnings that have been generated thus far in the domain of telemedicine training in undergraduate medical education. OBJECTIVE: The aim of this review was to collect and outline the current experiences and learnings that have been generated as medical schools have sought to implement telemedicine capacity-building into undergraduate medical education. METHODS: We performed a mixed-methods review, starting with a literature review via Scopus, tracking with Excel, and an email outreach effort utilizing telemedicine curriculum data gathered by the Liaison Committee on Medical Education. This outreach included 70 institutions and yielded 7 interviews, 4 peer-reviewed research papers, 6 online documents, and 3 completed survey responses. RESULTS: There is an emerging, rich international body of learning being generated in the field of telemedicine training in undergraduate medical education. The integration of telemedicine-based lessons, ethics case-studies, clinical rotations, and even teleassessments are being found to offer great value for medical schools and their students. Most medical students find such training to be a valuable component of their preclinical and clinical education for a variety of reasons, which include fostering greater familiarity with telemedicine and increased comfort with applying telemedical approaches in their future careers. CONCLUSIONS: These competencies are increasingly important in tackling the challenges facing health care in the 21st century, and further implementation of telemedicine curricula into undergraduate medical education is highly merited

    Pilot Study For Using Fitbit Activity Trackers To Monitor And Predict Onset Of CAR-T Cell Immunotherapy Related Adverse Events Including Cytokine Release Syndrome

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    Introduction: Immunotherapy using T Cells with engineered chimeric antigen receptors (CAR) is a revolutionary modality for treating cancer, especially B cell malignancies. It also has specific toxicities. The most common toxicities observed are cytokine-release syndrome (CRS) and neurotoxicity. These therapy-related adverse events can range from mild to fatal. If appropriately and timely treated, they have a good prognosis. Thus, further insight into predictive biomarkers can help clinical management of patients and reduce morbidity and mortality. Objective: One of the constitutional symptoms associated with CRS is fatigue. With the advent of activity tracking digital technology, I propose a pilot study exploring the use of fitness trackers to quantify activity level as a potential predictive biomarker of CRS due to CAR T-Cell immunotherapy. Methods: The proposed study would be a single-arm trial. Patients who are receiving CAR-T Cell immunotherapy will be given a Fitbit Flex 2™ tracker. One week of activity data (measured as steps per day) prior to CAR-T Cell infusion will establish patient baseline activity. From the date of infusion, activity levels will continue to be tracked and analyzed through CRS onset. The patient data will be gathered from Fitbit’s server via a customized app built using Fitbit’s Web Application Programming Interface (API). Results: This is a proposed study. No results have been gathered. Discussion: If a correlation is established between activity levels and onset of CRS, it would enhance the current predictive algorithm, allow easier outpatient management and remote monitoring, decrease costs, and reduce morbidity and mortality
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