What if there were a way for analytics to predict which patients are at higher risk of developing diabetes that could help physicians possibly intervene to prevent it?
Cognitive computing refers to systems that can learn at scale, reason with purpose and interact with humans naturally. These systems are designed to combine human intelligence with a range of artificial intelligence capabilities such as machine learning, natural language processing, and image analysis. This powerful combination amplifies the impact of what humans and machines can […]
Radiologists spend just one third of their time on image interpretation. For the majority of the day they are either supervising studies, performing image-guided procedures, teaching, in meetings, consulting with physicians, or directly caring for patients. Their work day is dynamic and full of interruptions, making effectiveness in the reading room an ongoing challenge. Being efficient […]
In 2012, an estimated 14.1 million people were diagnosed with cancer worldwide, and my country, Slovakia, ranks 22nd in terms of overall cancer frequency. As the incidence of cancer continues to grow and time constraints on oncologists intensify, the need for research and treatment innovation is more important than ever. The good news for patients […]
In a world of increasingly connected patients and devices, the global healthcare and life sciences community has a renewed – and some would say sharpened – focus on improving patient engagement and health outcomes. As a result, many are exploring how an enterprise health cloud can support these efforts. What are they looking for? Health […]
Healthcare delivery already relies on a variety of predictive analytics. More advanced models, including cognitive computing, are now entering the market to help improve healthcare outcomes.
Hearing diverse opinions from multiple oncologists is an important part of a patient’s journey, what’s often referred to as getting a second – or third – opinion. And cancer docs, too, frequently consult with one another to confirm a decision or provide a new idea. That’s understandable because cancer is a complex and sometimes elusive […]
In today’s healthcare system, we are not getting the value for the costs we are spending. It’s a complex issue with an equally complex set of potential solutions. But as the industry shifts to value-based care, we’ve reached a tipping point.
In this video, Rob Zimmerman, MD, Assistant Medical Director at Excela Health Medical Group shares how Excela uses IBM Watson Health tools to identify and contact patients with care gaps, and discusses the success the organization has achieved in bringing patients in for an office visit or preventative testing.