Pre COVID-19, clinicians were already overwhelmed by the amount of health data that’s out there. Now, with COVID-19 taking up even more of their headspace, the need for technology and machine learning to better augment the work a physician is doing has become more important.
In this panel hosted by Dell Technologies, we dive into how machine learning can augment clinician insights with the following people:
- Corinne Stroum (@healthcora), Director of Product, Utilization & Cost at KenSci
- Rasu B. Shrestha, MD, MBA (@RasuShrestha), Executive VP & Chief Strategy and Transformation Officer at Atrium Health
- Ed Shaffer (@ewshaffer), Healthcare & Life Science Informatics Director at Dell Technologies
- John Lynn (@techguy), Founder and Chief Editor at Healthcare IT Today
As this was recorded just as the COVID-19 pandemic was happening, we don’t talk much about the coronavirus, but it’s amazing how appropriate this topic is for the current environment. Here’s a look at some of the questions we discuss on the panel:
- We have been hearing about AI/Machine Learning forever, Why now? What’s changed?
- Where and how does AI/Machine Learning slot into the current clinical workflows?
- How does this AI/Machine learning impact communication with patients?
- How do we ensure these technologies make the care experience more human and not less human?
- What does it take to make AI/Machine Learning a reality for healthcare providers today?
- How does AI overlap with healthcare IoT solutions? When does it become the “Artificial Intelligence of Things?”
- What are we not doing today that is now possible and we should be doing? And why isn’t it happening?
If you want to better understand how machine learning can augment the work clinicians are doing, you’ll enjoy the video below.
Learn more about Dell Technologies at DellTechnologies.com/Healthcare