Search Results
The default setting for search results displays All Content. If you prefer to see recent content only, please adjust the date filter.
Filter your results:
Types
Topics
22 Results Found
Opportunities for Clinical and Operational Performance
Artificial Intelligence and Machine Learning: By eliminating burdensome and unwanted tasks, AI can allow clinicians to spend more time on direct patient care focusing on the essential human skills that AI and computers cannot achieve, such as collaboration, leadership, reflection, compassion and empathy.
Study Finds New Commercial AI Devices Often Lack Key Performance Data
Enthusiasm for and adoption of commercial artificial intelligence (AI) tools to aid clinical decision-making and patient care have been accelerating at a rapid pace. A new study, though, cautions that critical information often is missing from the Food and Drug Administration (FDA) clearance process that could measure how these devices actually work in patient care.
Many opportunities are emerging for artificial intelligence to transform how care is delivered
Issue Landing Page
Many hospitals and health systems increasingly are considering new technologies powered by artificial intelligence (AI) and machine learning (ML). Many opportunities are emerging for artificial intelligence to transform how care is delivered
The Power of Harnessing Patient Safety Data with Artificial Intelligence
As artificial intelligence (AI) and machine learning (ML) continue expanding into health care, its full potential remains unknown.
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.