6 Big HealthTech Ideas That Will Change Medicine In 2012
“In the future we might not prescribe drugs all the time, we might prescribe apps.” Singularity University’s executive director of FutureMed Daniel Kraft M.D. sat down with me to discuss the biggest emerging trends in HealthTech. Here we’ll look at how A.I, big data, 3D printing, social health networks and other new technologies will help you get better medical care. Kraft believes that by analyzing where the field is going, we have the ability to reinvent medicine and build important new business models.
For background, Daniel Kraft studied medicine at Stanford and did his residency at Harvard. He’s the founder of StemCore systems and inventor of the MarrowMiner, a minimally invasive bone marrow stem cell harvesting device. The following is rough transcript of the 6 big ideas Kraft outlined for me at the Practice Fusion conference
Artificial Intelligence
Siri and IBM’s Watson are starting to be applied to medical questions. They’ll assist with diagnostics and decision support for both patients and clinicians. Through the cloud, any device will be able to access powerful medical AI.
For example, an X-ray gun in remote africa could send shots to the cloud where an artificial intelligence augmented physician could analyze them. Pap smears and some mammograms are already read with some AI or elements of pattern recognition.
This has the potential to disintermediate some fields of medicine like dermatology which is a pattern based field — I look at the rash and I know what it is. Soon every primary care doctor is going to have an app on their phone that can send photos to the cloud. They’ll be analyzed by AI and determine “oh that mole looks like a dangerous melanoma” or “it’s normal”. So the referral pattern to the dermatologist will slow down.
On the plus side, there are consumer apps like Skin Scan where for $5 you can take a picture of lesion and send it to the cloud, and it will at least give you an idea if it’s dangerous or not. If it is, it can help you find a nearby doctor, which could help dermatologists get more business. Many fields are going to change because of artificial intelligence, pattern recognition, and cheaper tests.
Big Data
We’re gaining the ability to get more and more data at lower and lower price points. The primary example is the human genome and genomic sequencing. It cost a billion dollars or more 10 years ago to get a complete human sequence. However, the cost and speed of getting that data has dropped faster than Moore’s law to the point where it’s less than $5,000 when ordered online. From 23andMe you can now get a cheap snip test, and it has a pilot program for $999 for a whole exam.
Maybe there were 10,000 patients sequenced last year. Next year it could be 100,000 and soon millions. A genome sequence could be the cost of a blood count today. When that information becomes queryable in an a crowdsourced and cloudsourced way we can be more predictive about what you’re more likely to get based on your genomics. You can then take preventative steps or get screened more often.
So we’re pulling in huge data sets from low-cost genomics to proteomics (analyzing the proteins in the blood) to quantifiable self. The challenge is to make sense of that data and make it actionable information without making the patient or doctor overwhelmed.
I think we need to make smart dashboards like they have for fighter pilots. They would piece together data from ubiquitous sensors, like those made by GreenGoose, and Microsoft Kinect that can measure your activity around the house. It would be like the OnStar for your body that could give you clues about when you’re about to get in trouble, and it could call for help or guide you to appropriate therapy.