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After the Change Healthcare breach, healthcare organizations are diversifying their buying strategies and asking about vendors' cybersecurity policies, says Karly Rowe, interim president of Inovalon's provider business unit.  

Anika Gardenhire, RN, chief digital and transformation officer, offers her perspective on improving IT support for the clinician and patient experience, and insights on data informing decision making for operational processes.

The American College of Clinical Engineering and HIMSS are collaborating to promote safe, effective healthcare technology, says Ilir Kullolli, VP & COO for digital information solutions at Stanford Medicine Children's Health and a HIMSS25 Changemaker.

But Vik Bajaj, cofounder and CEO of Foresite Labs, says the NIH and associated research-focused programs in the U.S. will always remain a leading funding vehicle for biomedical innovation and training worldwide.

Evvy is expanding into fertility care by analyzing the vaginal microbiome’s composition to uncover predictive insights into potential fertility outcomes, explains Priyanka Jain, the company's cofounder and CEO.

UC San Diego Health works with clinicians, patients, designers and IT teams to develop digital tools that improve patient experience, says Keisuke Nakagawa, director of strategic impact at UCSD and a HIMSS25 Changemaker.

Healthcare security incidents in 2024 highlighted third-party vendor risk and the need to prepare business continuity plans and tabletop exercises in case of attack, says Lee Kim, senior principal of cybersecurity and privacy at HIMSS.

Staying current with evolving healthcare technology helps Health Catalyst introduce proven, valuable digital tools, says the company's Cathy Menkiena, a HIMSS25 Changemaker awardee.

Sameer Sethi, SVP and chief AI and insights officer at Hackensack Meridian Health, offers tips for IT execs looking to become a Chief AI Officer and ways a CAIO can work with the C-suite to ensure AI gets done right.

Peter Shen, North America head of digital and automation at Siemens Healthineers, says that as the use of AI tools in healthcare advances, companies must train algorithms on data that reflects the patient populations they will serve.