SimMon 对比 QCPR SkillReporter 的使用情况和统计数据

SimMon is a basic remote controlled patient monitor for full scale medical simulation. Using SimMon on any pair of devices, iOS 13 or newer, gives you a simple remotely controlled simulated patient monitor. An iPad makes for an ideal multi-touch controlled remote and the big screen makes a great bedside patient monitor. Open SimMon on your two devices of choice and connect via WiFi or Bluetooth. Change the blood pressure, oxygen saturation, respiration rate or heart rate by touching the value and dragging your finger up or down. Simple setup. Easy operation. Low cost. Thank you for the amazing feedback and support - it keeps SimMon evolving!

Apple 应用商店
付费
医疗

商店排名

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QCPR SkillReporter

Designed and built for Healthcare Responders, the QCPR SkillReporter app offers a new level of precision training for treating babies, children, and adults in cardiac arrest. SkillReporter app connects to the following compatible manikins via Bluetooth Low Energy: - Resusci Anne QCPR (2018+ models) - Resusci Junior QCPR (2018+ models) - Resusci Baby QCPR (2020+ models) Learn how to identify an app compatible Resusci manikin model: https://laerdal.force.com/HelpCenter/s/article/How-to-identify-your-Resusci-QCPR-manikin-model? With the powerful combination of QCPR SkillReporter app and the Resusci QCPR manikins, instructors can help Healthcare Responders train to perfection through psychomotor skills acquisition, classroom efficiency, and individual objective feedback. Key features: - The CPR timeline view enables users to get real-time CPR feedback and observe trends simultaneously - Debrief with a scrollable timeline and drill down into scores to get additional data - Review ventilation metrics measured to the millimeter - Get detailed feedback on chest compression fraction – one of the most important components of high-performance CPR - Select guidelines and customize feedback parameters - Access saved results and reports, including saved CPR timelines and session information, and export for analysis outside of the app