Recently we are cooperating closely with our client in UK to carry out a telemedicine project. In this case, we deploy our advanced AI-ECG algorithm in our client’s cloud platform, so that the patients can use our single-lead holter patch ER1-LB to record the long-term data and transmit it to the platform for automatic analysis and diagnosis, and then the professional doctors can receive the result and monitor the patient’s health situation remotely. The telemedicine is applicable for multiple scenarios, especially for the primary care like nursing homes, community clinics, home care, etc., and our AI-ECG integration greatly enhances the telemedicine with the following advantages:
-More accurate: the comprehensive accuracy of AI-ECG can reach 95.2% (the accuracy of arrhythmia is 99.84%) and it is based on massive database.
-More efficient: the analysis time for 24h dynamic ECG data is only within 5mins, which can greatly reduce the clinical burden and improve efficiency.
-More detailed: AI-ECG can identify 39 types of abnormal events for dynamic ECG (98 types for resting ECG).
-Flexible deployment: we can provide different deployment solutions according to our client’s requirements including stand-alone version, local deployment version and cloud deployment. For example in this case, we deploy directly the algorithm in our client’s cloud platform.
-Research support: we have cooperated with several medical institutions to verify the functions of AI-ECG technology and it has obtained sufficient research support.
-Data security: the deployment of AI is in compliance with the data security requirements and regulations of different countries and regions.
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