Data management
Health Equity Changemaker Awardee and Shift Collective co-founder Dr. Hannah Galvin says the collective is developing terminology value sets to allow patient data to be easily shared across the U.S., and, eventually, globally.
The COVID-19 pandemic exposed gaps in Italy's healthcare data availability and interoperability, according to Elena Sini of Italy's GVM Care and Research, spurring a nationwide push to improve data quality, access and trust.
AION Labs CEO, Mati Gill, discusses the company’s extensive backing from pharma and tech giants to build AI startups, and how AION is looking beyond AI to explore quantum technologies for research and development in drug discovery.
According to Kevin Ritter of Altera Digital Health, health systems must go beyond simple information exchange to ensure their data is discrete, normalized and able to flow between multiple applications across the enterprise.
Most provider data still lives in spreadsheets and siloed systems; Megan Schmidt, Madaket Health CEO, says this underlying data structure must be fixed before AI can enhance directory accuracy to boost patients' access to care.
Elsa, the FDA's new AI tool, promises to speed up safety reviews. ConcertAI's Jeff Elton advises developers to anticipate its insights and optimize interactions by preparing structured, contextualized data.
The health system will use Abridge's platform to convert medical conversations into billable pediatric documentation.
While AI is an important part of healthcare modernization, SolvDat founder and CEO Rosha Pokharel says a robust data layer and strong governance are key for unlocking lasting operational and clinical gains.
As tariffs target medical devices, plastics and packaging, ArcheHealth CEO Ralph Keiser says technologies that analyze pricing data can help hospitals build evidence for renegotiating contracts and increasing reimbursement.
Dr. Deepti Pandita, UC Irvine Health CMIO & VP of Clinical Informatics, says that "if you don't have governance, anything can fall apart," and discusses the need to engage a diverse multi-stakeholder group to vet every AI project that is deployed.