Sometimes the amount of data at our disposal can be overwhelming, however, making it difficult to sift through the noise and make sense of the information we collect.
Intelligence Machines for Pharma and LifeSciences
Improved accessibility to big data and analytics could be a key element in speeding things back up. Gaurav Tripathi, CTO of Innoplexus AG, a firm that provides data solutions in the life sciences and healthcare space explains, “Today’s volume, velocity, and veracity of data, render the manual collection and curation of intelligence impossible for small to midsize pharma and biotech companies.” That’s why many are looking to service providers that can automate their data collection and analytics.
Medical facilities, once swamped with data that they couldn’t effectively leverage, are developing ways to make sense of it all to help improve operations.
As more and more data solutions for healthcare emerge, there has been a clear democratization of critical healthcare data. Whether it’s advice databases like Ask The Doctor and Healthline, or key drug information shared by pharmaceutical companies, more consumers have access to health information, which is great for things like preventive care.
