THE FUTURE OF HOME MEDICAL DEVICES: STETHOME'S JOURNEY WITH PAWEL ELBANOWSKI
The modern healthcare landscape demands a focus on efficiency, innovation, and exceptional patient experiences. Similar to StethoMe's mission of providing accessible health monitoring, Mindbowser helps you streamline processes, implement cutting-edge technologies, and ultimately improve patient outcomes.
Click here to learn more about our comprehensive healthcare provider solutions: https://success.mindbowser.com/Ogm3 Connect with Pawel on: https://www.linkedin.com/in/pawelelbanowski/ Connect with Ayush on: LinkedIn: https://www.linkedin.com/in/ayushj/ Twitter: https://twitter.com/IM_AyushJain You can also find us on social media. So be sure you follow us there as well: Linkedin- https://www.linkedin.com/company/mindbowser-infosolutions/ Facebook- https://www.facebook.com/Mindbowser Instagram- https://www.instagram.com/mindbowser_inc/ Twitter- https://twitter.com/Mindbowser In this episode, we speak with Paweł Elbanowski, the co-founder and COO of StethoMe. StethoMe is a revolutionary home-use electronic stethoscope that analyzes lung sounds and provides instant feedback on potential abnormalities, allowing users to assess their lung health without needing to visit a doctor. Before founding StethoMe, Paweł had experience in software development and had also worked on other technology projects. The idea for StethoMe came from a personal experience, when his co-founder's child was hospitalized with pneumonia. StethoMe is currently available in several European countries and is working towards expanding to the US market. The company has a B2C focus, selling directly to consumers through various channels, including consumer electronics stores, pharmacies, and online marketplaces. They are also exploring partnerships with larger companies and healthcare providers. In terms of future plans, StethoMe is focused on improving their product through additional features and integrations, as well as expanding their market presence. They are also working on building a large dataset of lung sound recordings to further enhance their AI algorithms.
Information
- Show
- FrequencyUpdated weekly
- Published22 August 2024 at 09:44 UTC
- Length33 min
- RatingClean