Artificial Intelligence

Artificial intelligence can help relieve clinicians' administrative burden so they can devote more time to direct patient care, say Dave Brown and Thanos Melitsiotis of QiiQ.

Progress has been made with artificial intelligence and machine learning in healthcare, says Kathy Ford, chief product and strategy officer at Project Ronin, who notes that some stakeholders are still risk-averse.

Kami Vision develops artificial intelligence-based fall-detection technology for elder care, using home cameras to detect when a fall occurs and then notifying concerned parties. Yamin Durrani, the company's CEO, explains more.

Wearable devices offering visibility into the functions of the human body can empower underserved communities. Victor Brown, founder and CEO of Xcellent Life, explains how.

Speaking from the HIMSS22 show floor this past March, representatives from AssureCare and QliqSOFT describe some of their products and discuss future innovation.

GE Healthcare Enterprise Digital Solutions CMO Simon Philip Rost says healthcare institutions will be successful if they unite clinical medicine and data science.

Giving clinicians relevant patient data per condition can help improve patient care. Jay Anders, MD, chief medical officer at Medicomp Systems, explains how that can be done.

Jamie Nordhagen, UCHealth's director of capacity management and patient representatives, explains how the health system manages patient flow by predicting bed capacity, rooms and need for clinical teams.

"You have to get a hold of the data and understand the business process," explains Atif Chaughtai, Red Hat's global healthcare market leader.

Interoperability isn't enough. Providers need to quickly access the most relevant patient information at the point of care. Bill Hayes, MD, chief medical officer at CPSI, talks about how machine learning he calls "cognitive logic" could help.