HIMSS24
Through volunteer work after the 2020 Beirut explosion, Marina El Khawand, founder and president of Medonations, describes how getting a patient in dire need of her inhaler evolved into starting an NGO that crowdsources medications for Lebanese patients.
Developing AI policy needs to mitigate risk without stifling innovation, much like the early days of EHRs, says Patricia MacTaggart, program director and teaching instructor at George Washington University and 2024 Changemaker Award recipient.
Suki AI's flagship product, in use at more than 250 health systems, prepares clinical notes and codes after each visit to give clinicians more time with patients and lower documentation. Punit Soni, CEO and founder, explains.
The Coalition of Health AI brings together more than 1,300 organizations, including government and industry leaders, to build consensus-driven best practices and standards for using AI in healthcare, explains Dr. Brian Anderson, CEO of CHAI.
Over time interoperability standards have had a broadening effect on the healthcare technology industry, and the pace of improvements has increased, to the benefit of patients, says Michael Nusbaum, president of MH Nusbaum & Associates.
Joe Gagnon, CEO of 1upHealth, talks about how collaborating more on APIs can help providers generate EHR requests for information from payers.
Measuring the impact of the Colombian Civil Air Patrol's volunteer healthcare mission is helping it to increase and sustain services in the most remote areas, says Manish Kohli, founder and president of the Pul Alliance for Digital Health and Equity.
By leveraging AI, providers can instantly connect to patients locally and keep a communication channel open throughout their care journeys, explains Don Thompson, head of marketing at TeleVox.
Most hospitals do not patch medical devices at the same frequency as traditional networks and need compensating security controls to address their unquantified device vulnerabilities, says Richard Staynings, chief security strategist at Cylera.
DeepScribe has worked to build trust in its ambient AI by deploying validation models that prevent inaccuracies and maintain the integrity of the clinical documentation it generates. Matthew Ko, its cofounder, president and COO, explains.