There are 5 main areas of Big Data investigation in real world outcomes by pharma today…
- Remote, mobile health – The use of mobile devices such as smart phones to gather data on treatment adherence, on-going patient care, predictive symptoms or adverse events and health outcomes
- Healthcare provider data – Collecting data from electronic medical records that includes patient diagnosis, treatment, adherence and outcome.
- Connecting genomic analysis with patient outcomes and subpopulations in order to progress personalized medicine
- Utilizing data both from health records and pre-clinical studies to find new indications for therapeutic pipelines
- Better clinical decision making in order to improve patient outcomes with prescribed therapeutic
I often see articles that describe how big data won't save pharma but smart analytics on data might. In the end Big Data is only as good as the questions that are being asked of it and essentially at present Big Data in healthcare is one big Petri dish. Certainly we will see a lot more business intelligence and analytics roles – both in pharma and providers – moving into big data applications and there will be huge demand for this talent in the years to come. This is the time to debate and discuss where the whole strategy of Big Data is going to take us and I hope this ebook inspires your team to invest further in the area.
And remember we have a dedicated morning to Big Data at Evidence US so if you are interested in adding your thoughts as a speaker or delegate don't hesitate to contact Nick Longworth at firstname.lastname@example.org