Data Revolution in Healthcare and Lifesciences Industry

A few of my interns recently did a brain-storming session with me. They were all enthusiastic to do something of their own and had many questions. Many of them I met at several accelerator competitions and hackathons. I am not an authority or a VC. So far, I have invested in 9 companies globally- all in healthcare or education. One thing that I have come across in almost every transaction is when seed funded companies go for Series A- Investor raise red-flags about 1. Recurring revenue 2. Team 3. Valuation One such situation came in today when I was asked How do you anticipate growth of 15%-20% YOY when in a force of 200 employees you have only 5 sales guys and 2 marketing people. What are you relying on? Most start-ups find it hard to answer such a question. When you cannot rely on sales and marketing to be your driver of growth, you rely on your customer to be your driver of growth. Hence when the service and the product keep evolving imparting better and sustained va...

Quick Snapshot of our work in the field of Analytics- shot at the Healthcare IT Summit, Mumbai, India. What do we do there with Predictive analytics tools- serious work!! Predictive analytics (PA) uses technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients. That information can include data from past treatment outcomes as well as the latest medical research published in peer-reviewed journals and databases. In medicine, predictions can range from responses to medications to hospital readmission rates. Examples are predicting infections from methods of suturing; understanding Patient’s patterns,  bias and compliance;  determining the likelihood of disease, helping a physician with a diagnosis, and even predicting future wellness. The statistical methods are called learning models because they can grow in precision with additional cases. There are two major ways in which PA differs fro...