As demand for data scientists continues to outgrow the number of people being trained, companies must look to other options to gain expertise. Building on existing skills in-house, recruiting help temporarily, and even crowdsourcing are great ways for businesses of all shapes and sizes to access big data skills on nearly any budget.
Big Data, Artificial Intelligence, IoT May Change Healthcare in 2017 by Health IT Analytics
Artificial intelligence programs, the Internet of Things, and next-level big data analytics tools are likely to start producing a significant impact on healthcare delivery as early as 2017, according to a recent survey by Silicon Valley Bank. “Over a third of participants said that promising big data tools are likely to bear fruit for during 2017, and will have the largest impact on how investors divvy up their available funds.”
Congress: Health IT, Big Data Tools Crucial for Quality Care by Health IT Analytics
Congress and providers are challenging health IT and big data analytics vendors to bring the “outdated” healthcare system into the modern age. Committee member s came together to explore how to use already available and burgeoning technologies to increase efficiency, reduce waste, improve outcomes, and create greater access to care for beneficiaries in the Medicare space.
Precision Medicine: New Paradigms, Risks and Opportunities by Knowledge@Wharton
New technologies and emerging trends in precision medicine could potentially revolutionize drug and therapy development as well as lead to disease prevention and management, according to the article. But scientific, medical, regulatory and financial barriers must be overcome in order for the field to keep moving forward.
Focusing on the fundamentals of data analysis in healthcare by Med City News
Healthcare institutions need to focus on the fundamentals of data analysis in order to reap potential benefits. By making data available in real-time, creating simple dashboards, and breaking down data silos, healthcare facilities can make more informed decisions about their internal operations and patient care.