Health Sensors Panel at SXSW

Posted on March 13, 2013 I Written By

John Lynn is the Founder of the blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of and John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

If you’ve been following @ehrandhit on Twitter, then you know that I’ve spent the past few days at the SXSW conference in Austin. It’s been quite the experience and I’ll no doubt write a lot more about my experience at the conference. For now, let’s take a look at many of the top takeaways from the health sensors panel.

While this doesn’t necessarily apply to sensors, I found it interesting that only 5 people raised their hands when asked who in the audience were patients. It’s kind of a stupid question since we’re all patients. I think most of us that heard the question assumed he meant patient advocate or possibly chronic patient. At least I bet that the 5 that raised their hands fit into those categories. Someone on Twitter said that maybe it’s because many of us don’t see ourselves as patients since we’re “healthy.”

Fascinating to consider all the data that our brain is processing. Plus, it should give us hope for what is possible with sensors. Needless to say, we have a long way to go.

This is really sad to consider and applies to many diseases. I think they’re point was that sensors can help us get at some of these diseases.

I’d never consider integrating environmental sensors in your healthcare. Those sensors could be indicators of why our health suffers. Interesting idea.

Seriously amazing technology…assuming it really works. I love people trying even if it doesn’t work out.

This was an important takeaway from my time at the mHealth Summit. We need new study methodologies that match the speed with which we can collect data using sensors and other tech.

I can’t wait for data to point out when we’re lying to ourselves and others.

People always say the wrong thing about Watson. At least right now, it’s not diagnosing. It’s just assisting and supporting the diagnosis.

This is definitely true and we haven’t even started to tap into the health data that’s possible. We’re going to need some amazing technology created to be able to make sense and filter the data down to only what matters.

It’s amazing how important the context is to the data. This is part of the challenge with the Watson technology and the volume of data mentioned above.

This is a fascinating differentiation. I think we’ll see this start to merge over time, but it is interesting to consider the various types of sensors and their intended use. I think until now we’ve focused mostly on sensors for disease. The idea of sensors for health is still such a nascent field of study.