Artificial Intelligence

Machine learning can improve outcomes and reduce unnecessary spending, says Accredited Health CTO Mark Plaskow.

The new offering, which includes patient matching, aggregation, normalization, deduplication and more, can help health systems launch more effective AI and machine learning projects, the company says.

The use of AI in medical imaging or Picture Archiving and Communication System (PACS), such as GE’s Centricity Universal Viewer, can be a great way to reduce the ever-increasing workloads of radiologists and clinicians, since AI is particularly effective in detection and segmentation of any irregularities in imaging data and providing radiologists/clinicians additional diagnostic confidence.

The cloud-hosted, voice-enabled system will be designed and built with close input along the way from clinicians and IT staff, with an eye toward eventual deployment enterprise-wide.

Seven administrative and clinical executives from across the health system discuss efforts from an electronic ICU to an AI symptom checker to ‘smart hospital’ tech.

At the HIMSS Connected Health Conference, Bob Coughlin, president and CEO of Mass Biotech Council, offers his expert view of how these two areas of healthcare will impact each other in the future.

Dr. Steven Charlap, CEO of GeneYes, a digital health startup aimed at giving physicians greater insights by improving data management capabilities, says, "We need to redefine what is a doctor."

The health system will pilot new software from the startup, which makes cloud-based predictive tools aimed at the emergency department.

During National Health IT Week, three experts put the focus on how digital technologies and smart care approaches are already transforming population health and helping address social determinants.

Hôpitaux Robert Schumain and Hanalytics Sàrl have signed an MoU to set up the BioMind diagnostic support system.