We’ve all experienced the value that innovation has brought to our lives. The cloud, enormous data sets and more accurate AI modeling have enabled many organizations to bring new products and services to market in ways we could not have imagined 20 years ago. The health care and life sciences
A note from Udo Sglavo: The need for randomization in experimental design was introduced by the statistician R. A. Fisher in 1925, in his book Statistical Methods for Research Workers. You would assume that developing a successful treatment for COVID-19, the illness caused by the SARS-CoV-2 virus, will eventually conclude in
I love my job, but I am not a morning person so I need a bit of inspiration to get out of bed. I’ve been a marketer for more than 15 years, and that inspiration has never been easier to find than since I joined SAS as an industry marketer
What would happen if we could ask any type of scientific or clinical question about patients, and then go out and find the data to answer our questions? With "real-world data," we can do just that. Real-world data is all medicinal product data that comes from real-life patients. In contrast,
Real world data collected in a functioning health care setting instead of a controlled clinical environment can provide opportunities for new and deeper insights across life science and health care organizations. However, managing, analyzing and extracting actionable information from the varied available sources can present unique challenges. The sheer size of these
“The most successful life sciences companies will be the ones that can convince their customers – patients, health care professionals, government authorities and health plans – that new treatments are the most effective and provide true value compared with alternatives.” Jamie Powers, DrPH, Principal Consultant and Practice Lead, SAS Health
For health and life sciences organizations, discussions about big data include gaining value from that data in the form of real-world evidence. Consider for a moment the amount of healthcare data that exists today thanks to the adoption of electronic health records. Then think about the future with data from
