Daniel Lemire's blog

Could big data and wearables help the fight against diseases?

Biologists and medical researchers are used to drinking data with a straw. Doctors measure heart rate, weight and blood pressure, one at a time, at a high cost. When patients suffer from serious diseases, like cancer, measures are even more expensive. To make matters worse, measures are usually not shared and reused. In fact, even the patients themselves can have a hard time accessing their own data.

How do we get medical data for research? Mostly through clinical trials or one-off studies. These are excessively expensive, narrowly focused, with often very few subjects. Out of all patients suffering from serious diseases, only a small percentage will ever contribute any research data points.

Today, nearly every aspect of cancer care is based on information gleaned from the roughly 3% of patients who participate in clinical trials. But new health technologies in development offer the ability to learn from every patient. These big data tools make it possible to aggregate, analyze, and learn from a wide range of medical data—electronic health records, genetic test results, and more—while protecting the security and confidentiality of a patient’s individual data. (Masters et al., 2015)

If my car breaks down and I bring it to the garage, they can talk to the onboard computer and have much of the relevant data necessary for a diagnostic. If I were to break down in the middle of writing this blog post, the hospital would have almost no data on me.

People are more complicated than cars. Nevertheless, it seems that we are at an inflection point where much will soon become possible.

So it seems that we should be entering a new era.

Conclusion: We spent the last decade with our smartest kids working in marketing for companies like Facebook. I hope that, in the next decade, they will apply their computer skills to curing the sick.