Creation of a Rudimentary Electronic Pediatric Intensive Care Unit Model to Explore Resident-Attending Communication.
TELEMEDICINE AND E-HEALTH(2020)
摘要
Background: At-home attending intensivists often must return to the hospital to assist residents. Introduction: To determine if using telemedicine communication between in-house pediatric residents and at-home attending intensivists impacts the rate of attending return to the hospital and improves resident education. Methods: In this single-center prospective study at an academic children's hospital's pediatric intensive care unit (PICU), 40 patients younger than 18 years were randomized into video or telephone arms. Residents and intensivists completed anonymous surveys after each encounter. Video-conferencing encounters between residents and at-home, on-call intensivists were compared with standard telephone calls for admissions to PICU. Results: Video and telephone arms had 21 and 19 patients enrolled, respectively. Data comparison was performed using Mann-Whitney U, chi-square, and Kruskal-Wallis analysis. Clinical illness severity rating for intensivists and residents was not significantly different for video communication compared with telephone (p = 0.63 and p = 0.42, respectively). Intensivists reported no significant difference in ease of use (p = 0.87). There was perceived improvement in resident education with the use of telemedicine (52.6% vs. 76.2%; p = 0.11). Discussion: Video communication was easy to use but did not change the rating of illness severity or need for intensivist to return to the hospital. There was perceived improvement in resident education with the use of telemedicine, and it may serve as a useful tool in demonstrating acute clinical changes to out-of-hospital intensivists. Conclusions: Larger-scale studies in teaching hospitals with out-of-hospital pediatric intensivists need to be conducted to further evaluate the role of telemedicine in patient management and resident education.
更多查看译文
关键词
telecommunications,telemedicine,telehealth,pediatrics
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要