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.
Who here is a patient?5 hands raised. I wonder what the rest of the audience is. #sxsw
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
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.”
We all have millions of sensors in our body and a brain that processes it. Sadly no brain API. #sxsw #HITSM #HCSM
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
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.
We’ve spent billions on asthma research and haven’t really made a dent. #sxsw #HCSM #HITSM
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
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.
The opportunity for #sensors is bringing the environmental sensors with the human sensors. #sxsw
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
I’d never consider integrating environmental sensors in your healthcare. Those sensors could be indicators of why our health suffers. Interesting idea.
Very cool. RT @joejoejoejoe47: Non-invasive glucometer via lasers? Stuff just got real. #sxsw #sensors
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
Seriously amazing technology…assuming it really works. I love people trying even if it doesn’t work out.
We need faster and new models for studies. RT @huntingtonnews: Studies can take years.#sensors #SxSWi
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
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.
#pinnochioflag RT @meredithdez: in India, Intel study shows people do not have accurate idea of their activity levels. #sensors #sxsw
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
I can’t wait for data to point out when we’re lying to ourselves and others.
Supports dxn. Doesn’t dxn.RT @joejoejoejoe47: Watson the computer diagnosing your medical conditions. Coming soon… #sxsw #sensors
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
People always say the wrong thing about Watson. At least right now, it’s not diagnosing. It’s just assisting and supporting the diagnosis.
The healthcare data is overwhelming and you don’t know where to go. #sensors #sxsw
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
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.
#sensors data only makes sense when we take it in context – Nachman
— Emily J. Hurst (@hurstej) March 11, 2013
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.
Sensors for health is different than sensors for disease. #sensors #sxswi
— EMR, EHR and HIT(@ehrandhit) March 11, 2013
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.