Researchers recently tested ChatGPT’s ability to answer patient questions about medication, finding that the AI model gave wrong or incomplete answers about 75% of the time. Providers should be wary of the fact that the model does not always give sound medical advice, given many of their patients could be turning to ChatGPT to answer health-related questions.
NYU researchers conducted a study this year in which nearly 400 people were asked to identify whether responses to patient questions were produced by human providers or ChatGPT. Participants had a limited ability to tell the source of the responses apart, so the study authors concluded that the use of LLMs like ChatGPT could be an effective way to streamline healthcare providers’ communication with patients.
Iodine Software recently announced that it is expanding its relationship with OpenAI. By doing so, Iodine will integrate the latest GPT-4 language model into its existing AI technologies and datasets, specifically its AwareCDI product suite.
UNC Health recently launched a pilot for its in-house generative AI app called Ava, which stands for “AI virtual assistant.” The app allows staff members to ask questions about the different digital health tools available to them across the health system, and it gives them concise answers about how to use the tools effectively. The goal is to prevent staff from searching through vast training libraries.
The use of LLMs in healthcare is still incredibly nascent, so many experts are calling for a safety framework to make this uncharted territory feel safer. There are still a lot of unknowns, but avoiding clinical use cases and not inputting patients’ health information seem to be the most important guardrails providers are putting around LLMs at the moment.
There are too many flaws in AI for it to replace physicians, execs said during a Monday panel at the MedCity INVEST conference in Chicago. Instead, it should be used to make physicians' work easier.
A specialty drug is a class of prescription medications used to treat complex, chronic or rare medical conditions. Although this classification was originally intended to define the treatment of rare, also termed “orphan” diseases, affecting fewer than 200,000 people in the US, more recently, specialty drugs have emerged as the cornerstone of treatment for chronic and complex diseases such as cancer, autoimmune conditions, diabetes, hepatitis C, and HIV/AIDS.
Hippocratic AI emerged from stealth, as well as announced $50 million in seed funding through a round co-led by General Catalyst and Andreessen Horowitz. The Palo Alto-based startup bills itself as the first large language model designed specifically for healthcare.
While human empathy will never be replaced, AI technologies and ChatGPT are providing new possibilities to help healthcare providers engage more efficiently with their patients and streamline administrative duties so physicians can focus more on their patients.
A new study found that ChatGPT might actually be quite successful in providing high-quality answers to patient questions during an era in which doctors and nurses are too busy to do so. The research evaluated two sets of answers to patient inquiries — one written by physicians, the other by ChatGPT. A panel of healthcare professionals determined that ChatGPT's answers were significantly more detailed and empathetic.
While the digital health sector might feel a little cramped in some areas, there are wide open spaces in others — and investors are ready to funnel money into companies looking to innovate these lesser-discussed aspects of care delivery and healthcare technology. Some of these areas include Medicaid, generative AI and patient-to-patient support.
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
The healthcare sector has been notoriously slow to adopt new technologies in the past, but ChatGPT has already begun to enter the field. Technology experts at the HIMSS conference in Chicago said that while the AI model is certainly exciting, the healthcare sector must establish an accountability framework for it's going to address the risks of new technologies like ChatGPT moving forward.
Epic is welcoming generative AI’s entrance into healthcare. The company is expanding its existing collaboration with Microsoft by integrating OpenAI services, such as GPT-4, into its EHR. The partners have already begun piloting OpenAI services at a few health systems, including UC San Diego Health, UW Health and Stanford Health Care.
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.
