HIMSS25
Using artificial intelligence in radiology for the first time can be daunting, says one AI and imaging expert in a preview of his HIMSS25 session, but the advantages are substantial.
Women in the tech space consistently cite struggles with imposter syndrome and work-life balance, says HIMSS25 panel moderator Jeffery Daigrepont, SVP of Coker Group. He will lead the healthcare tech leaders through a discussion on their strategies.
He discusses the particular cybersecurity challenges for post-acute care settings, and previews a HIMSS25 session that will help IT leaders at nursing homes, home health and assisted living groups can improve their privacy and security postures.
Artificial intelligence can boost efficiency of imaging providers and support roles that offer greater provider productivity, says The Gordian Knot Group's Dawn Cram, who offers a preview of her HIMSS25 session on the subject.
And yes, that includes AI. Dr. Anwar Jebran, a primary care physician informaticist, dives deep into LLM-powered ambient artificial intelligence while offering a preview of his HIMSS25 panel session on technology's role in alleviating burnout.
The enhanced membership program offers access to proprietary research, maturity assessment tools, professional development and other resources to help healthcare organizations with digital transformation.
In a HIMSS25 preview, Muhammad Babar, management information systems officer for the Pakistan Ministry of Health, notes healthcare technology hurdles the ministry has faced and how it's strengthening the country's health information systems.
The success the health system has had with its real-time analytics monitoring platform, RAMP, is the focus of an artificial intelligence-themed session at HIMSS25 in March.
Dr. Eric Liederman, CEO of CybersolutionsMD, joined MobiHealthNews to discuss why healthcare organizations should assess their vulnerability and prepare for ransomware attacks.
In one HIMSS25 session, three speakers from Froedtert & MCW will discuss how ML models can forecast future hospital capacity needs by analyzing large datasets, including historical patient admissions, discharge trends and much more.