Healthcare costs in the United States make up 18% of GDP – that’s $2.3 trillion a year. And yet 34% of what is spent on healthcare is wasted because of information/Big Data overload and complexity surrounding diagnosis and treatment.
This puts pressure on the healthcare system to transform into translational medicine and eventually, personalized medicine. The Harvard Stem Cell Institute defines personalized medicine as the “effort to transition basic research discoveries into Clinical applications that benefit patients.” Nature.com defines it as the “use of genetic susceptibility or pharmacogenetic testing to tailor an individual’s preventive care of drug therapy.”
To me, personalized medicine means the right treatment, for the right individual, at the right time by treating the individual as a whole within a 360-degree context. In the transformation of healthcare system to personalized medicine, technology plays a huge role and—more importantly—analytics plays a vital role.
How can analytics help transform medicine?
This transformation requires access to diverse heterogeneous distributed data that is highly collaborative and tightly connected between pharma, the life sciences, and the healthcare system, with sophisticated analytics at every level.
Disease is a process, and the correlative genomic markers will tell you where you are in the process. The genomic markers are possible with genomics and advanced analytics. An organism’s complete set of DNA is called its genome. Virtually every single cell in the body contains a complete copy of the approximately 3 billion DNA base pairs, or letters, that make up the human genome.
You could argue relations between the healthy and diseased as a function of time—F(t). Correlating and finding genomic markers uniquely associating with disease by marrying a large-scale analytics platform with heterogeneous data is the basis for personalized medicine.
The impact of personalized medicine on healthcare will be significant due to its nature of being fiercely personal and predictive. It’s just the beginning…
Read more about how analytics is poised to transform the healthcare industry: Can Big Data Analytics Save Billions In Healthcare Costs?
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