Machine Learning and Artificial Intelligence technology is revolutionizing most industries, as organizations realize that the once considered insurmountable quantity of data being collected needs to be (and now can be) processed, analyzed, and most importantly, utilized effectively.
Of all the industries affected by this, the medical sector has the most critical need for solutions and thus far is one of the furthest behind. It has been slow to digitize, lumbering along over cultural, regulatory, and cost hurdles.
With massive amounts of computational power, machines can now analyze large sets of data points and apply relationship modeling in a predictive way and in real time. Big Data technology has the potential to leverage machine learning capabilities enabling accurate and real time decision making improving overall operating efficiency and reducing unnecessary costs.
By 2018, 30% of providers will run cognitive analytics on patient data, according to industry analysts IDC.
Machine learning can be a huge boon to healthcare, increasing efficiencies, saving money and most importantly saving lives. CT data can be analyzed and cross-applied across patient records to see who is most at risk for X or Y disease. Hospitals can predict post-discharge outcomes to reduce readmissions and optimize patient flow. They can make medical diagnostics faster, more accurate, and more accessible
With artificial intelligence, health systems can reduce the costs of medical treatments by half and optimize their processes throughout the organization. Artificial intelligence can improve healthcare delivery and patient experience, care plan adherence, health outcomes and reduce healthcare costs.
Frost & Sullivan predicts that artificial intelligence in healthcare will see a “dramatic market expansion” in the next couple of years, with the potential to reduce the cost of medical treatments by half.
Creating a proactive framework based off of predictive analytics is not only possible – it’s the future of healthcare.
“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran
The Machine Learning and AI in Healthcare conference seeks to foster dialogue between engineers and clinicians to create better solutions for tomorrow’s hospitals.
Join us this November in Pittsburgh, Pennsylvania, for two days of interactive panel Q&As, engaging presentations, and rousing discussions among those leading the machine learning and AI wave.
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