Decision Support
The health system co-designed a platform that provides multifactorial data analysis and direct-to-physician communication, as well as continuing education material.
Development has been "fairly stagnant," from some vendors, causing providers to fill the gap with population health management platforms, EHRs and business intelligence tools.
Medical errors caused by mishandled diagnostic tools within the electronic health record join EHR-exacerbated physician burnout on the group's annual list of Top 10 concerns.
The Center for Clinical Artificial Intelligence, created by Cleveland Clinic Enterprise Analytics, will innovate new advances and applications for AI and machine learning in healthcare.
Three experts offer comprehensive advice and tips for healthcare CIOs starting a clinical decision support journey.
The imaging technology, which integrates with many other systems, enables more efficient same-day care, streamlined screen real estate and exam open speed improvements.
At the federally qualified health center and patient-centered medical home, telehealth technology has changed the way primary care physicians deliver care.
Four experts in artificial intelligence technology offer advice to healthcare CIOs on how to best begin implementing an AI system.
The machine learning algorithm can also help with screening for diabetic macular edema, a boon for patients in a country where physicians are in short supply.
The HIMSS Electronic Health Record Association's Opioid Crisis Task Force has created what it calls the "ideal minimum data set" to get physicians the right information to enable safer EPCS.