Machine learning and automated technologies are poised to disrupt employment in many industries — looking at you autonomous vehicles — and medicine is not immune to this encroachment. The Qualcomm Tricorder competition run by the X-Prize foundation has just wrapped, naming [Final Frontier Medical Devices]’s DxtER the closest thing available to Star Trek’s illustrious medical tricorder which is an oft referenced benchmark for diagnostic automation.
The competition’s objective was for teams to develop a handheld, non-invasive device that could diagnose 12 diseases and an all-clear result in 24 hours or less without any assistance. [Dynamical Biomarkers Group] took second place prize worth $1 million, with [Final Frontier Medical devices] — a company run by two brothers and mostly financed by themselves and their siblings — snagging the top prize of $2.5 million. DxtER comes equipped with a suite of sensors to monitor your vitals and body chemistry, and is actually able to diagnose 34 conditions well in advance of the time limit by monitoring vital signs and comparing them to a wealth of medical databases and encyclopediae. The future, as they say, is now.
Continue reading “I’m A Tricorder, Not A Doctor, Jim!”
Hackaday, we have a problem. There are a lot of people on this earth and not a lot of health care workers. Let’s use our skills to help alleviate this problem. What can we do to give medical professionals a wider reach, to bridge the distances between hospital and patient, and make it easier for bystanders to administer lifesaving care.
Scope of the Problem
We’d wager that your most recent and vivid remembrance of a health care worker shortage is the Ebola outbreak in West Africa. The shortage of trained professionals and supplies certainly compounded the situation in the countries worst hit. But it didn’t create the problem. Check out this list of doctors per 1,000 people (sorted lowest-to-highest with 2010 numbers). The three countries hit hardest by the outbreak — Guinea, Liberia, and Sierra Leone — register a whopping 0.0 doctors for every 1000 people. Yeah, that’s years before the outbreak.
Keep scrolling down and you’ll see that this isn’t limited to one geographic location. All over the world there are low numbers, with India and Iraq both at 0.6, and interestingly Cuba and Qatar topping the list at 6.7 and 7.7 respectively.
This isn’t a statistics post so let’s pivot. The point is made that we’re a large world population. What kind of engineering solutions can we wield to help provide everyone with the care they need? Leave your comments below but also considered entering the Hackaday Prize with them. Write down your idea as a Hackaday.io project and tag it 2015 Hackaday Prize.
Proof That We Can Do This
It’s safe to say we’ve all seen engineering solve part of this problem already. Over the last decade, Automatic External Defibrillators have become ubiquitous. The life-saving hardware is designed to be used by non-doctors to save someone whose heart rhythms have become irregular. [Chris Nefcy] helped develop AEDs and one ended up saving his life. If that’s not proof that we can change the world with our builds we don’t know what is.
Pull on that thinking cap and jump into this conversation. What can we build? What problems need to be solved right now? Where should each of us be looking to make a difference in the availability of health care in the absence of the trained professionals?
When the tool you need doesn’t exist, you must make one. That’s exactly what [Dr. Malcolm Coulthard] and kidney nurse [Jean Crosier] from Newcastle’s Royal Victoria Infirmary did two years ago.
When a baby too small for the regular dialysis machine (similar to the one pictured above) needed help after her kidneys failed, the kind doctor designed and built a smaller version of the machine in his garage, then used it to save six-pound baby Millie Kelly’s life. Since then the machine has continued to be used in similar emergency situations.