Purpose-specific SaaS app solutions solving specific business problems.
At RxDataScience, we are creating a large suite of apps across the entire pharmaceutical and healthcare value chain. These apps contain advanced analytics and data science inside, and sit on top of large datasets enabling business analysts and non-programmers to extract business value from healthcare data.
We link traditional and nontraditional data sources (such as RWE) with data science and machine learning to map patient journeys and identify previously unknown disease and treatment patterns, over a long period of time, resulting in dramatic improvements in the cost and quality of care.
Forbes New York Business Council Is an Invitation-Only Community for Small Business Owners in Greater New York City[...]
RxDataScience and the Indian Institute of Technology Mandi have announced an 18-month long research venture. The partnership has a twofold goal: to both design and develop AI applications for rare disease treatment and use machine learning prediction models for different measures of interest to improve upon patient journeys.[...]
The Silicon review has selected RxDataScience as a "Top 30 Fastest Growing Companies to Watch" in 2017. The award signifies rapid growth in revenue and meaningful customer acquisition, as well as headcount growth and potential for disruption in a large market or creation of a new market.[...]
“Our vision is to apply data science to healthcare data to improve patient lives worldwide. The focus is on applying advanced predictive statistical techniques to either very large or very complex healthcare data sets. The[...]
Kx selected by RxDS as the platform for its data analytics solutions. Solutions based on Kx will unlock the data within pharma and healthcare companies to allow better and more rapid decisions. RxDS aims to disrupt[...]
Our core team has a collective 160+ years of experience within the pharmaceutical industry. Therefore starting within the pharmaceutical industry seemed natural. While we are currently concentrating on solutions to serve the pharmaceutical industry, we will soon be tackling different sets of data within the healthcare industry as a whole. These markets include the providers (i.e. hospital systems), payers (i.e. insurance companies, government), medical devices, biotechnology, and more.