This week, Chitrang Dave, Global Head of Enterprise Data & Analytics at Edwards Lifesciences, joins us to discuss the transformative power of real-time data, AI, and collaboration in medical device manufacturing and support. 

He and host, Ross Katz, dive into how real-time data from IoT devices is reshaping quality assurance in medtech and what the future holds for medtech as big tech players like Apple and Meta enter the healthcare arena. 

Together, they discuss everything from AI-powered patient identification to the integration of consumer wearables with FDA-approved medical devices. Tune in to hear how collaboration, innovation, and cutting-edge technology are improving patient outcomes and revolutionizing healthcare.

Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.

Chapter Markers

[01:36] Chitrang shares the experience that led him to work at leading data and analytics organizations and what work there is to be done

[04:09] Chitrang highlights the role of IoT devices in medical device manufacturing, where real-time data can drive automation and improve quality assurance

[06:25] What is driving innovation right now in research and development, and how companies like Apple are disrupting the medical device space 

[09:23] Chitrang talks about how connectivity in devices and the expectation of the user to be able to use an intuitive interface are evolving into more real-time medical device technology 

[11:47] The importance of keeping patient data private between the patient and the practitioner while using anonymized data to create solutions and identify patterns in health 

[13:25] Using data to create a complete picture of the patient in order to make their life easier 

[14:20] Chitrang discusses the challenge of manufacturing medical devices when there are issues with raw materials 

[16:30] Chitrang discusses the potential for automation for real-time data in manufacturing

[19:17] Ross and Chitrang discuss the value of having comprehensive data to personalize treatments and ensure timely responses, especially for scenarios where early detection of Alzheimer’s can save trillions of dollars

[21:27] Chitrang mentions significant collaborations, such as the Cancer AI Alliance, where tech giants like AWS, Microsoft, NVIDIA, and Deloitte are working together to address critical problems in healthcare

[27:10] How real-time data from medical devices could improve patient outcomes, stakeholder coordination and future trends 

[28:29] Closing thoughts and where to find Chitrang Dave online 

Download CorrDyn’s latest white paper on “Using Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.”

Find the white paper online at: https://connect.corrdyn.com/biotech-ml