Clinical
AI & ML Intelligence
REM sleep behavior disorder almost always is an early sign of Parkinson's or dementia, often preceding other symptoms by 10-15 years. Researchers think the tool can enable development of new therapies for those diseases.
A new tool researched at Regenstrief Institute aims to help get symptom assessment data integrated into EHRs and incorporated into clinical workflows.
Medicomp Systems' LLM-adjacent software cleans, organizes and presents diagnostically connected data for clinicians at the point of care, explains President and CEO David Lareau.
Innovaccer, Veradigm and other companies are integrating real-time healthcare data, analytics and artificial intelligence-enhanced workflows into payer and provider systems to improve patient outcomes and care delivery.
Christine Stetler, a registered nurse and AVP of Solution Engineering at MedeAnalytics, says there needs to be a meeting of the minds between coders and clinicians to accomplish that goal.
Nursing and IT
Nurses with less than two years of experience increase their confidence in performing during electronic health record outages after escape room-style training, Michael Allen of Indiana University Health said at HIMSS25.
There are many valuable use cases for robotic process automation, says Dr. Jonah Feldman of NYU Langone Health, including streamlining patient intakes and analyzing charts to determine where care can be improved.
An Australian study also found that AI can help reduce readmissions.
Cherry Drulis, director of Samsung's healthcare mobile B2B, sat down with MobiHealthNews to discuss how digital technology helps make healthcare providers' jobs more efficient and improve patient care.
The chiefs of three publications go over what they covered on the second day of HIMSS25, including EMRAM Stage 7 awards, the fate of telehealth and precision medicine.