The Data Standard
While data science provides tools and methods to extract real value from unstructured patient information, it eventually contributes to making healthcare more efficient, accessible and personalized. The number of healthcare institutions making data-driven decisions increases slowly but steadily. At its core, data science in the healthcare industry isn’t too different from data science in other fields—the ultimate goal is to tease out meaningful and actionable insights from collected data. The healthcare sector presents data scientists with more varied opportunities than many other industries, though, from helping individual hospitals be more efficient, to influencing diagnostic and treatment processes, to mapping the spread of a pandemic. In many cases, the results of a healthcare data scientist’s work can be felt far and wide and potentially affect millions of lives.
Big Data in healthcare is not unheard of. The healthcare industry is generating a significant source of data in the world. People who have skill sets in health information technology and analytics, the employment rate for them is increasing.
The global pandemic has dramatically increased the need as well as the importance of data science and analytics professionals. We have seen over the months how data science professionals have come together and worked on COVID-19 healthcare data and build AI/ML models to track the outbreak and use the information for contact tracing, screening applications and vaccine development.
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Vamsi Chandra Kasivajjala
Co-Founder & CTO at Mango Sciences
Over the last 20 years, I have created many products predominantly in Healthcare Informatics and Analytics, the top two successes being Querent (Advanced analytics platform) which we grew it to manage 30 million unique patients (Clinical data) and the Magnum Suite (HIS, RIS, PACS, EMR). As a part of my corporate journey, I have been successful in M&A activities (3 acquisitions, and 2 Divestments). Been a P&L owner and CTO responsible for the growth and achieving targets YoY. Now at Foundation AI, working on a platform which is at the intersection of Artificial Intelligence & Quantum Computing.