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Navigating the realities of infusing AI in Healthcare apps

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Manage episode 440430497 series 3523631
Content provided by CitiusTech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CitiusTech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode of The Shaping Healthcare Podcast, host Laurel Rockall welcomes Deepesh Hansrajani, AVP & Principal Architect, MedTech at CitiusTech, for an insightful discussion on the integration of AI and gen AI into healthcare applications.

Join them as they:

  • Delve into the current state of AI adoption in the healthcare ecosystem
  • Explore the concept of "infusing" AI into existing healthcare applications
  • Discuss the challenges of implementing AI in core healthcare product workflows
  • Examine CitiusTech's unique position in helping customers efficiently use AI products
  • Consider the potential of AI to improve clinical decision-making and reduce physician fatigue
  • Analyze real-world examples of AI integration in EMR systems and connected medical devices
  • Speculate on emerging trends and technologies that will shape the future of healthcare

Deepesh Hansrajani brings over 18 years of experience in healthcare technology to the conversation. As the AVP & Principal Architect, MedTech at CitiusTech, Deepesh has been instrumental in advancing digital solutions for healthcare, with expertise in areas such as solution architecture, cloud technologies, and agile methodologies. His insights provide a valuable perspective on the practical implementation of AI in healthcare settings and its potential to transform patient care.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcast and Spotify, instructions on how to do this are here.

The Shaping Healthcare Podcast is handcrafted by our friends over at: fame.so
  continue reading

31 episodes

Artwork
iconShare
 
Manage episode 440430497 series 3523631
Content provided by CitiusTech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CitiusTech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode of The Shaping Healthcare Podcast, host Laurel Rockall welcomes Deepesh Hansrajani, AVP & Principal Architect, MedTech at CitiusTech, for an insightful discussion on the integration of AI and gen AI into healthcare applications.

Join them as they:

  • Delve into the current state of AI adoption in the healthcare ecosystem
  • Explore the concept of "infusing" AI into existing healthcare applications
  • Discuss the challenges of implementing AI in core healthcare product workflows
  • Examine CitiusTech's unique position in helping customers efficiently use AI products
  • Consider the potential of AI to improve clinical decision-making and reduce physician fatigue
  • Analyze real-world examples of AI integration in EMR systems and connected medical devices
  • Speculate on emerging trends and technologies that will shape the future of healthcare

Deepesh Hansrajani brings over 18 years of experience in healthcare technology to the conversation. As the AVP & Principal Architect, MedTech at CitiusTech, Deepesh has been instrumental in advancing digital solutions for healthcare, with expertise in areas such as solution architecture, cloud technologies, and agile methodologies. His insights provide a valuable perspective on the practical implementation of AI in healthcare settings and its potential to transform patient care.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcast and Spotify, instructions on how to do this are here.

The Shaping Healthcare Podcast is handcrafted by our friends over at: fame.so
  continue reading

31 episodes

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