Analytics
AI and genAI can reduce paperwork and errors by automating tasks prone to human error like data entry, clinical documentation and billing, says Aashima Gupta, Google Cloud's healthcare vertical lead.
Josh Di Frances, vice president and head of incubation at LG NOVA, highlights the winners of the company’s 2024 Startup Pitch Competition held annually at LG NOVA’s annual InnoFest, which included mDETECT, Glidance and Oncoustics.
Rami Karjian, head of the operating rooms business at LeanTaaS, says 17% of healthcare providers had to delay or cancel surgeries, which has a huge impact on patients, on the finances of a hospital and on caregivers who have to make up for the backlog.
Andre Esteva, CEO and cofounder of Artera, a spin-out of Salesforce, relays how the company's AI tool looks at images of cancer tumors and recommends specific therapies to clinicians.
Eric Smith, chief digital officer at Memorial Hermann Health System, discusses the health systems' AI governance council and the use of AI in its day-to-day operations - including patient interactions and ambient listening.
Pivoting from a healthcare administrator leader into chief health AI officer requires a substantial amount of health AI knowledge or a willingness to get that knowledge, says UC San Diego Health Chief Health AI Officer Dr. Karandeep Singh.
The chief AI officer should understand basic principles about AI, have a computing background and know the ultimate clinical use case, says UC San Diego Health Chief Health AI Officer Dr. Karandeep Singh.
Sunny Virmani, group product manager of health AI at Google, discusses expanding access to AI models for diabetic retinopathy in India and Thailand, AI’s potential to transform healthcare and Google’s plans for AI in healthcare in 2025.
David Miles, CIO of Oklahoma Heart Hospital, discusses how the all-digital healthcare system changed from a Cerner EHR to Epic - and the importance of peer assistance, resource availability and defined responsibilities during the process.
Dr. Jay Anders, chief medical officer at Medicomp Systems, says it is necessary to slow down AI implementation due to a lack of transparency, AI not being trained on real-patient data and the potential implications of synthetic data use.