Colin Hill

My father, Foster Hill, has stage III prostate cancer.

At 69 years old, he is a quiet man who was often told in his younger days that he resembled Muhammad Ali. He immigrated in his twenties to Canada from the small Caribbean nation of Antigua to look for opportunities beyond sugar cane and the tourism trade.

My father became a chemical technician for well-known oil refineries, while staying true to his real passion in life – playing organ music. Every Sunday, as he has since I can first remember, he plays the largest church organ in Sarnia, near Lake Huron, where he lives with my mother.

Like many men of his generation, he has always been wary for the medical system. For decades he avoided the test, known as PSA, that screens for prostate cancer. In September of this year, driven by pain he could no longer ignore, he went to his doctor who discovered a rock-hard prostate gland. The diagnosis, stage III prostate cancer, means that the cancer has already begun to spread, but is still potentially treatable.

Now retired, his long hours practicing the organ are punctuated with doctor visits to receive Lupron hormone therapy. The good news? The therapy is working. For now.

We don’t know what lies ahead. The first round of Lupron therapy is often effective, but a significant number of patients later develop a resistance to the drug.

The battle against my father’s cancer has only just begun.

This is where Big Data in healthcare can become a true lifesaver. Typically, in medicine, we know only what works for the majority of patients, not what will work for an individual. However, with enough data from enough people – we are talking hundreds of thousands, and sometimes, even millions of patients – we can apply analytics to build predictive models to discover which interventions will work. For the last twelve years, it has been my job to make that happen.

As CEO and founder of GNS Healthcare, I oversee a team of mathematicians, biologists, and data scientists as they crunch and decode healthcare data to unlock the mysteries of what treatment will work for specific patients.

My father’s cancer has given these efforts a new urgency and has raised a new question: Can I use Big Data to save my father’s life?

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