In collaboration with Google Cloud, Suki added two capabilities to its AI assistant: patient summaries and Q&A functionality. These new features might help Suki differentiate itself from other companies selling AI-powered tools to help with documentation and coding, such as Abridge, DeepScribe and Microsoft.
Nearly all CIOs and other healthcare technology leaders at provider organizations believe that effectively leveraging AI gives them a competitive edge, according to new research. However, the report also found that some organizations still struggle with barriers to adoption, such as the lack of the right talent and concerns about ethics, privacy and security.
Closing cancer health equity gaps require medical breakthroughs made possible by new funding approaches.
SmarterDx — an AI startup that provides clinical review and quality audits for medical claims — closed a $50 million Series B funding round, bringing its total funding to date to $71 million.
When developing or deploying new algorithms, hospitals and healthcare AI developers must pay close attention to the quality of training datasets, as well as take active steps to mitigate biases, said Divya Pathak, chief data officer at NYC Health + Hospitals, during a recent panel discussion.
In this month’s episode, Senior Reporter Katie Adams discussed some executive hires, promotions and departures that recently occurred in the healthcare world, as well as layoffs affecting the industry. We also hear from Brian Anderson, who recently became CEO of the Coalition for Health AI (CHAI).
On Monday at HIMSS24, Innovaccer unveiled a preview of its new AI copilot for providers, which is slated to go on the market by the end of 2024. The solution is a portable tablet device designed to provide clinicians with point-of-care support — it flags care and coding gaps, assists with clinical documentation and advises clinicians on possible diagnosis pathways.
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.
The ultimate challenge for the broader adoption of AI in medical imaging remains the same: demonstrating to healthcare institutions that it provides a clear ROI.
There are three key areas of the healthcare sector where generative AI is booming the most — in terms of both venture capital funding and the development of innovative technology — according to Anjalika Komatireddy, an analyst at CB Insights. During a recent webinar, she discussed the generative AI activity occurring in these three areas: care delivery and navigation, digital therapeutics and drug discovery.
But what AI solutions can’t do is magically eliminate the need for empowered registrars. Maximizing growth while improving efficiency requires both people and technologies.
The use of LLMs in healthcare is still quite new, so health systems want to deploy these tools in the least risky way possible. A panel of experts explained how they think health systems can do this during MedCity's INVEST conference — some of their advice included starting with deployment in nonclinical settings and partnering with incumbent vendors rather than startups.
Hear executives from Quantum Health, Surescripts, EY, Clinical Architecture and Personify Health share their views on digital transformation in healthcare.
Ascertain — a healthcare AI company creation platform formed last year by Northwell Health and Aegis Ventures — has launched its first startup. New York-based Optain, which has gained an initial seed investment of $12 million, is an AI company meant to enable earlier disease detection and prevention through retinal imaging.
Hidden biases, reduced privacy, and over-reliance on non-transparent, decision-making black boxes can cut against democratic values, potentially putting our civil rights at risk. This means that the effective and equitable use of AI will be based on solving inherent ethical, safety, data privacy and cybersecurity challenges.
Holon Solutions CEO Jon Zimmerman thinks more payers should invest in new technology to improve workloads for healthcare workers. The burnout crisis is too big for providers to solve by themselves, and many of the economic incentives for driving quality and efficiency in healthcare are housed within health plans and accountable care organizations, he said.
One healthcare AI expert thinks ChatGPT could have dangerous implications for the field if it’s not used with the proper context. People already turn to sources like Reddit and TikTok when they have a question about a medical concern they’re experiencing — Americans putting too much trust in ChatGPT to answer these questions could make this phenomenon a much bigger problem.
The company's AI-enabled imaging software identifies a suspected pulmonary embolism and delivers real-time notifications to physicians so the patient can be treated quickly.