I was asked about a year ago at a talk about energy what I was doing about the other large social problems, namely health care and education. Surprised, I flippantly responded that the best solution was to get rid of doctors and teachers and let your computers do the work, 24/7 and with consistent quality.
Later, I got to cogitating about what I had said and why, and how embarrassingly wrong that might be. But the more I think about it the more I feel my gut reaction was probably right. The beginnings of “Doctor Algorithm” or Dr. A for short, most likely (and that does not mean “certainly” or “maybe”) will be much criticized. We’ll see all sorts of press wisdom decrying “they don’t work” or “look at all the silly things they come up with.” But Dr A. will get better and better and will go from providing “bionic assistance” to second opinions to assisting doctors to providing first opinions and as referral computers (with complete and accurate synopses and all possible hypotheses of the hardest cases) to the best 20% of the human breed doctors. And who knows what will happen beyond that?
Assessing Current Healthcare
Let’s start with healthcare (or sickcare, as many knowledgeable people call it). Think about what happens when you visit a doctor. You have to physically go to the hospital or some office, where you wait (with no real predictability for how long), and then the nurse probably takes you in and checks your vitals. Only after all this does the doctor show up and, after some friendly banter, asks you to describe your own symptoms. The doctor assesses them and hunts around (probably in your throat or lungs) for clues as to their source, provides the diagnosis, writes a prescription, and sends you off.
The entire encounter should take no more than 15 minutes and usually takes probably less than that. Sometimes a test or two may be ordered, if you can afford it. And, as we all know, most of the time, it turns out to be some routine diagnosis with a standard treatment . . . something a computer algorithm could do if the treatment involved no harm, or at least do as well as the median doctor (I am not talking about the top 20% of doctors here—80% of doctors are below the “top 20%” but that is hard for people to intuit!).
So what’s wrong with this situation? This is by no means an exhaustive list, but it sets up a nice springboard:
- Physically having to go to your doctor’s office makes sense for the most part, except that a lot of the basic tests are either visual (tongue and throat check) or auditory (listening to the breath and vibrations in the abdomen). Time plus cost will often discourage people from taking that first step to visit a doctor. Most of the time a Dr. A could at least advise you when it is worth visiting based on your normal body functions, your current indications, and your locality’s current infections and other symptom trends.
- A lot of the vitals being tested for (e.g. blood pressure, pulse) can now be routinely done at home or even with the help of an iPhone and an explosion of additional possibilities will emerge in the next decade.
- You are the one telling the doctor your symptoms.
- The doctor has to inquire (probably every time) into any possible history of each symptom, test results, and illnesses, except when he does not have time for you in that village in India.
- The prescriptions are still done on paper, requiring you to, again, physically go to a pharmacy and pick up what you need there. So compliance is an issue.
Looking at this, I cannot help but think that this is a completely antiquated system (regardless of whether it is healthcare or not)!
Going down the list, we find a pretty negative assessment. The vital signs could all be determined with the help of mobile devices, the operation of which do not require years of training and a certification. You will be able to do this by yourself—Philips already is using the iPhone camera to try to measure vital indicators, others will be even more innovative and as an insurance company it would be cost-effective to give them to every insured person for free. Skin Scan is measuring your risk of skin cancer from a photograph of a skin lesion. Telemedicine is accelerating and a Qualcomm company is measuring heart rates using an iPhone. Cell phones that display your vital signs and take ultrasound images of your heart or abdomen are in the offing as well as genetic scans of malignant cells that match your cancer to the most effective treatment. Ear infection and skin rash pictures and more will all be mobile phone based, often supplemented by the kind of (fractal) analysis that Skin Scan does, and more than what the doctors naked eye could usually see.
The history of symptoms, illnesses, and test results could be accessed, processed, and assessed by a computer to see any correlation or trends with the patient’s past. You are the one providing the doctor with the symptoms anyway after all!
Any follow-up hunts for clues could again be done with mobile devices. The prescriptions—along with the medical records—could relocate to electronic and digital methods, saving paper, reducing bureaucracy, and easing the healing process. If 90% of the time the doctor knows exactly the right kind of diagnosis from these very few and superficial inputs (we haven’t even considered genetics yet!), does it really require 10+ years of intense education for every diagnostician?
The fault is not entirely with the doctors, though. Most of us don’t know what set of symptoms warrant the full-scale attention of medical personnel, so we either go all the time or we do not go at all (save for emergencies). We also cannot realistically expect any (even our family) doctor to remember every single symptom and test result over the years, definitely not in a government hospital in China. Similarly, we cannot expect our doctor to be able to remember everything from medical school twenty years ago or memorize the whole Physicians Desk Reference (PDR) and to know everything from the latest research, and so on and so forth. This is why, every time I visit the doctor, I like to get a second opinion. I do my Internet research and feel much better.
Identifying Emerging Trends In Healthcare
But I always wonder why I cannot input my specific test numbers and have a system offer me a “second opinion” on the diagnosis since it has all the data that the doctor has and can use all my current and historical data effectively. In fact, it is not hard to imagine it having more data than the doctor has since my full patient record would be at the tip of its digital brain, unlike the average doctor who probably doesn’t remember my blood glucose levels or my ferritin from two years ago. He does not remember all the complex correlations from med school in which ferritin matters—there are three thousand or more metabolic pathways, I was once told, in the human body and they impact each other in very complex ways. These tasks are perfect for a computer to model as “systems biology” researchers are trying to do.
Add to it my baseline numbers from when I was not sick, which most doctors don’t have and if they did 80% of physicians would be too lazy to use or not know how to use. Applied Proteomics can extract tens of gigabytes of proteomics—what my genes are actually doing instead of what they can do—baseline data from one drop of blood. Oh, by the way I have my 23andMe data to add my genetic propensities (howsoever imprecise today, but improving rapidly with time and more data). The doctor uses a lot of imprecise judgments too as most good doctors will readily admit. My very good doctor did not check that I have relative insensitivity, genetically, to Metformin, a diabetes drug. It is easy to input the PDR (the Physicians Desk Reference), the massively thick, small-font book that all physicians are supposed to know backwards and forwards. They often don’t remember everything they read, in med school but it is a piece of cake for computers. The book on your typical doctor’s desk is probably not current on the leading-edge science either. Confirmed science and emerging science are different things and each has a role. Doctors mostly use confirmed science, the average doctor not understanding and pros and cons of each or the expected value of a treatment (benefit and harm). And our 18th century tradition of “first do no harm” dictates that if a treatment hurts ten patients a year but saves a thousand lives we reject it.
Read More: http://techcrunch.com/2012/01/10/doctors-or-algorithms/
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