Data Revolution in Healthcare and Lifesciences Industry

Digitization of health information is soaring, particularly in the areas of electronic health records (EHRs), storage of images, e-prescriptions, patient admissions, registration, and scheduling.
The health industry is adopting new care models such as value-based care to enable more targeted and preventative care.
 Real time and predictive analytics, improved management and security and enhanced decision making through enterprise grade devices empowered by the cloud is helping healthcare enterprises #Reimagine • their internal operations and make it more efficient • their service delivery and improve the quality of patient care • their costs by reducing the cost of ownership. On 17th December, we organized a tweet-a-thon amongst Microsoft India and Industry thought leaders. We tried to highlight the role of technology - specifically cloud computing in Healthcare. Doctors, Providers, Software vendors, HIT experts and KOLs from the industry participat...

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...

‘Reverse innovation,’ a principle well established in the business world, describes the flow of ideas from emerging to more developed economies. Reverse innovation refers to the process of first identifying and/or fostering a successful innovation in a LIC that addresses an unmet need in a HIC, then adapting and spreading the innovation from the LIC to the HIC. It is, in a nutshell, learning from and investing in poorer settings as one way to tackle problems in wealthier settings that require out-of-the-box solutions. The realization that the American health care system must simultaneously decrease per-capita cost and increase quality has created the opportunity for the United States to learn from low- and middle-income countries.   At GE Tech Mela, I came across GE's Stripped-down, portable ECG machine- GE Healthcare's MAC i is an ultra-portable, battery-operated electrocardiogram machine, designed for use in rural clinics in India, where mains electricity is e...