A recent HealthEconomics.Com blog post by OM1 CEO Richard Gliklich and OM1 Data Science Vice President Costas Boussios analyzes how artificial intelligence (AI) and big data are working together to “transform our understanding of patient journeys and outcomes.”
“The need to store, secure, query, process, analyze and manage Big Data has led to the development of numerous technological innovations over the last 20 years,” Gliklich and Boussios write.
Increasing demand for stable storage solutions for vast amounts of data has pushed big players, including Google, Amazon and Microsoft, to develop on-demand, open-source cloud computing tools, which has “resulted in enhanced democratization of Big Data capabilities across industry sectors and budgets.”
The ever-growing infrastructure has facilitated easily-accessible data sets for use in real-world research.
“From a real-world evidence perspective, one of the main advantages of Big Data infrastructure is the ability to maintain very large, heterogeneous and linked data sets that are highly available, where they can be queried and statistically processed rapidly and can be used in visualizations on a near real-time basis,” Gliklich and Boussios write.