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Optimizing Precision Care Delivery with Machine Learning
Optum, part of UnitedHealth Group, recently invested $16 million in Health at Scale, a California-based startup using machine learning to help risk-bearing entities determine the highest-quality provider and hospital at the lowest cost. Health at Scale offers a suite of services, including building preferred-provider networks of physicians and facilities optimized for the predicted needs of individual members within large and complex populations. It also designs broad and narrow networks for populations and member groups. The company serves payers, health systems and self-insured employers.
Machine Learning Project Targets Advances to Improve Patient Care
In a move to speed the progress of medical research and help translate those advances into areas like cancer diagnostics, medical imaging, precision medicine and voice-enabled technologies, the Pittsburgh Health Data Alliance is teaming with Amazon Web Services on a machine learning partnership.
Machine Learning Could Speed Drug Development
Google’s DeepMind, the artificial intelligence arm of Alphabet Inc., has shown promise in predicting the shapes of proteins, the building blocks of disease. A recent Bloomberg report notes that this could lead to more rapid development of drugs.
Cleveland Clinic’s New Center to Explore Innovative AI Applications
Building on its track record of medical innovation, the Cleveland Clinic is creating a new center for artificial intelligence designed to further collaboration and communication among physicians, researchers and data scientists. Healthcare IT News reports that the Center for Artificial Intelligence — a project of Cleveland Clinic Enterprise Analytics — will seek new and innovative applications of AI for diagnostics, disease prediction and treatment planning.
Measuring the Opportunity and Impact of AI
Amazon Web Services is working with Beth Israel Deaconess Medical Center to test ways that artificial intelligence can simplify medical care. Bloomberg reports that Amazon recently gave the Harvard Medical School teaching hospital a grant of up to $2 million to experiment with machine learning and AI. One of its first projects will explore how to make daily tasks like patient scheduling more cost-effective.
New Data: What Execs Need to Know About Digital Transformation
Hospitals and health systems will need to develop a more proactive and innovative mindset and invest more money if they plan to develop and deploy cutting-edge tools such as artificial intelligence, machine learning and voice-based programs that will shape digital transformation. These are some of the key takeaways from a new HIMSS Media survey that illustrate what health care decision-makers need to know, their top innovation priorities and key security concerns around technology innovation.
Market Insights: 10 Predictions for Hospitals and Systems in 2019
A newly released Market Insights report from the AHA Center for Health Innovation presents 10 predictions for next year that hospitals and health systems should consider as they prepare for another year of transformative change. Each prediction relates to one or more of the Center’s focus areas, including: affordability and value, innovation capacity, new payment and delivery models, performance improvement, population health and emerging issues.
Amazon Software Sifts Medical Records for Data to Improve Care, Cut Costs
Amazon has introduced a new cloud-based software service that reportedly will sift through patient medical records in seconds searching for actionable intelligence to provide hospitals and physicians with clinical decision support and coding while reducing costs. Amazon Comprehend Medical can identify health information such as medical conditions and medications and determines their relationship to each other (for example, medication dosage and strength).