Machine Learning, Artificial Intelligence Gain Healthcare Momentum by Health IT Analytics
Artificial intelligence and advanced machine learning projects are starting to offer exciting new possibilities for big data analytics in the healthcare industry. A number of new partnerships, projects, and collaborations are tackling challenges, including real-time clinical decision support, precision medicine, and population health management.
How Big Data Velocity Informs Population Health, Patient Safety by Health IT Analytics
Healthcare providers are leveraging big data analytics strategies for a successful transition to the value-based care environment. The industry’s growing familiarity with big data is driving population health management and point-of-care patient safety decisions by analyzing insights of all different velocities.
To better treat and prevent diseases, pharmaceutical companies, providers, payers, government entities, and technology leaders must join efforts to mainstream precision medicine, according to the article. With technology like SAP HANA, that allows us to comprehend various sources and formats of data in real-time, healthcare professionals can pull actionable insights to make more informed and better care decisions.
An IDC report released earlier this week predicts the Big Data and business analytics market will grow 11.3% in 2016 and is expected to continue at a compound annual growth rate of 11.7% through 2020. With the growing demand for Data engineers and data scientists, both fields will see the biggest non-executive salary jumps in 2017.
Investors pour $6.5 billion into digital healthcare so far this year by Internet Health Management
Investment in digital healthcare technology is on track to hit at least $6.5 billion in 2016, an increase of 7% from $6.1 billion in the previous year. The area of digital healthcare technology attracting the most money is digital patient and consumer experience applications and services.