When it comes to looking at the biggest challenges regarding technology and health information, there is one place where people gather to find solutions to these issues. The place where people can experience unique networking opportunities, world-class education and cutting-edge products and solutions is none other than the HIMSS18 conference. This year did not disappoint as healthcare AI vendors made an impact as they unveiled new technology and financing at the conference.
Writer Bill Siwicki reported last month about the conference and the impact artificial intelligence vendors made this year. Some of the highlights included Real Time Medical announcing the launch of a healthcare quality assurance system that will be assisted by Google cloud, Medial EarlySign was able to raise $30 million in finances and a machine learning service debuts from Orion Health.
Medial EarlySign Receives Additional Funding
HIMSS18 conference this year was from March 5th to March 9th, located in Las Vegas at the Venetian – Palazzo – Sands Expo Center. There were plenty of topics to discuss as well as keynote speakers, which included former Secretary of Veterans Affairs David Shulkin, the Director at the Defense Health Agency Vice Admiral Raquel C. Bono and Technical Advisor and former Executive Chairman at Alphabet Inc. Eric Schmidt. While that was going on, Booth 8104 was where Medial EarlySign was situated and announced a $30 million Series B round financing that brought the total funding of the company to $50 million dollars.
The company takes artificial intelligence to leverage EHR data and existing blood test results give exact insights to organizations of healthcare to determine what would be the most effective approach to improving the health of a patient. Ori Geva is the co-founder as well as the CEO of Medial EarlySign who said that there is an incredible volume of meaningful routine healthcare data.
Ori went on to say that yet, while these data are electronically stored and available, they are still underutilized, and providers can glean much more actionable intelligence from it. Our expertise in these data and predictive health technology allows us to provide valuable insights and create improved actionable opportunities for early intervention, improved decision making, more effective care management, and physician and patient empowerment.
Orion Debuts Machine Learning Service Called Amadeus Intelligence
Adding to the impact of AI at HIMSS18 was Orion Health as they unveiled what they called Amadeus Intelligence; this machine learning service is designed to assist the healthcare industry improve the care of a patient while reducing operating costs. The company said that because of new research involving machine learning, Orion Health is currently exploring productive ways to reduce waste within healthcare while looking to assist clinicians determine decisions that are more accurate during the point of care.
Alarmingly, over a third of the U.S. $3 trillion healthcare expenditure ends up being wasted on excess administration and on unnecessary services, according to the Center for Medicare and Medicaid Services. Ian McCrae is the CEO of Orion Health who said that more than $1 trillion in the U.S. is wasted each year on costly administration and avoidable hospital re-admissions.
Ian went on and said that Orion Health’s Amadeus Intelligence will use machine learning models initially to predict patient costs and readmission risks, analyze clinical and financial outliers and enable accurate diagnosis coding and quality metric reporting to improve decision making at the point of care and target resources that will result in significant cost savings. The next decade will be to connect all that data and use machine learning for daily healthcare decisions, driving improved care, operational efficiencies and cost-effectiveness.
Real Time Medical Presents AICloudQA
One other AI vendor worth mentioning that impacted HIMSS18 was Real Time Medical as they debuted their AICloudQA platform. The company is now offering an expandable, new and secure healthcare quality assurance system which combines Real Time Medical’s Intelligent Peer Review System, a Google Cloud Platform infrastructure and a Client Outlook’s eUnity viewer. The AICloudQA combines artificial intelligent-assisted workload balancing and artificial intelligent-assisted peer learning that will improve acute care performance and increase clinical efficacy; currently, it is available for pathology and radiology.
Ian Maynard is the CEO of Real Time Medical and said that we understand that clients are seeking to implement solutions capable of both prospective and retrospective peer review while also providing the advanced learning opportunities for physicians and quality improvement for patients that artificial intelligence enables. With Google Cloud Platform regions located in the USA, Canada, Brazil, UK, Germany, Finland, Netherlands, India, Singapore and Australia, the solution will enable large-scale peer learning networks while providing flexibility to deploy resources in specific locations or address multi-regional and global needs.
Only time will tell if these platforms will be successful or not. However, for those who did attend this year’s HIMSS18 conference, AI vendors made an impact not only on those who came to the conference but on the healthcare system this year and beyond.