In this episode of Medtech Matters, a podcast focused on the medical device manufacturing industry and the factors impacting it, we speak with Dr. Maninder Bedi, founder and chief medical officer of Optimize EP, and Ravi Kartan, president and CEO of the same firm. They speak about the importance of their solution for physicians to save time reviewing EP monitoring reports. They also speak to the machine learning algorthms that are employed within the software to enable a more effective offering. Specifically, the following questions are addressed.

• Let’s start with a little bit of an introduction to the EP process. How is data associated with an EP captured, reviewed and analyzed currently?
• How is Optimize EP and your See-Arm software attempting to change this?
• Since this is collecting remote monitoring data, I’m guessing this isn’t a solution intended for a hospital or healthcare environment exclusively? This is used for patients with monitoring technology on their person at home?
• Is the software compatible with any technology that’s being used to capture the data or does it only work with certain partners?
• Does the software have any impact on the patient in terms of what they need to do?
• Can you speak to the algorithms that are incorporated into the software and what they enable? Do they help with diagnosis or detection of a problem?
• What is the availability status of this technology? Regulatory approvals? On the market?

Listen to this episode and see what you think of Opitmize EP’s software solution for remote patient monitoring data. If you’d like to share thoughts, ask questions, or suggest a future participant for Medtech Matters, please reach out to me at [email protected].

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