Large language models will soon become a much bigger part of doctors’ clinical workflows, former FDA Commissioner Scott Gottlieb said Tuesday at the 3rd Annual Summit on the Future of Rural Health Care.
In this episode, we speak to a healthtech executive and a physician to see where AI tools can best be deployed in health systems
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.
Technology evolved over these five decades to respond to the needs of users. Based on my experience and interactions with other leaders in the market, here are three technology trends I expect in 2024.
Embracing the possibilities that AI unlocks, our commitment to seamlessly integrating AI into healthcare workflows reflects our belief that technology should melt into the background, empowering human caregivers to focus on delivering compassionate patient care.
AI may transform health care across the board, but not by itself. It's a tool, and like any tool, it will work more effectively and more safely in trained hands. As the AI revolution continues to grow, we believe organizations should invest in that training now.
Sonio recently gained $14 million in Series A funding. The Paris-based startup's AI platform automates ultrasound reporting so that healthcare providers can conduct ultrasound exams with greater accuracy, speed and efficiency.
The progress in artificial intelligence (AI) is reshaping patient care, across various dimensions, from facilitating faster discharge to curating treatment plans and suggesting lifestyle changes.
No single practitioner can be left with the ownership of patient care. The single point of truth should lie with the patient and their clinical record.
NeuroFlow, a Philadelphia-based provider of behavioral health integration software, recently raised $25 million in growth capital. The startup differentiates itself from the sea of mental health-focused startups in the digital health world because of its ability to combine effective patient engagement technology with decision support tools for clinical staff, according to COO Adam Pardes.
To err is human. However, to err in healthcare can cost human life. Here are four reasons why clinical decision support needs to be considered.
Adding CDS Hooks — the HL7 published specification for clinical decision support — to the technology mix will streamline clinical workflows, particularly as the sources and quantities of data continue to expand at a rapid pace.
Closing cancer health equity gaps require medical breakthroughs made possible by new funding approaches.
As we near two years since Covid-19 first struck the U.S., our healthcare system continues to grapple with staffing shortages, sicker patients, and an aging population, leading to an overburdened workforce. Luckily, there are technologies – such as machine learning algorithms (MLAs) and artificial intelligence – that continue to evolve and support care teams in […]
The FDA plans to publish a final guidance around clinical-decision support tools in the next year. It would be a much-anticipated update, after the FDA shared a draft guidance around the issue in 2019.
Clinical decision support systems have been with us since the 1980s. It’s time they delivered on their full promise.
Clinical decision support systems don’t need to be distracting. We can design them to stop pointing out the patients in the middle of catastrophe, and start helping us prevent them from ever arriving there.
They plan to commercialize the decision support software, which would surface relevant patient records and recommendations from Mayo Clinic specialists. To start, they will focus on cardiometabolic conditions.