Dr. Jackie Gerhart firmly believes that an AI tool meant to help make sense of a person's health or medical records must be housed within the EHR. She also contends that Epic's digital concierge tool, Emmie, will do much more than simply reactively answer questions posed by the user.
OpenAI announced a new dedicated platform for health conversations. The company said the new offering is not intended for medical diagnosis or treatment — but rather to provide support for personal health navigation.
In a landscape where complexity has long been the norm, the power of one lies not just in unification, but in intelligence and automation.
When the technology changes even slightly, the psychological impact can be detrimental to a person’s health and sometimes, even debilitating.
The growing use of AI chatbots for medical questions should not be seen as a threat to the healthcare system, but as a signal that patients aren’t trying to replace their physicians; they’re trying to find them.
If you want your company’s website to pop up on the right side of an AI-generated response, it’s crucial to build rich, authoritative content so that AI crawlers find your site and use your information to generate these overviews, leading patients to your digital front door. Here are some practical ways to do that.
As the adoption of artificial intelligence (AI) advances in healthcare, key considerations can help validate that the technology is purpose-built to help clinicians protect patient safety.
Greenway Health blends smart technology with human expertise to elevate revenue cycle.
LLMs, with their remarkable conversational abilities, are uniquely positioned to help solve this crisis. But as with the dotcom boom before it, the surge of AI 'therapists' has created a turbulent landscape where separating legitimate innovation from dangerous shortcuts isn't straightforward.
The AI race heats up with a new kid on the block from China. How did it compare against a popular U.S. genAI engine on a simple healthcare industry question?
Try a variety of LLM-based tools yourself. Understand the risks, limitations, and who is working on putting quality frameworks and guardrails in place. Engage your employees and partners in discussions about what might now be possible.
OpenAI’s GPT-4 was able to identify suicidal ideation with similar accuracy to clinicians, but in a much shorter amount of time, a new study from Brightside Health found.
Across the nation, state-based health insurance exchanges are searching for ways to better serve their communities while making enrollment easier, more personal, and more accessible for everyone.
Anthropic's Claude3-Opus performed better than GPT-4, but both fell short of humans on a test of objective medical knowledge. The study was conducted by a firm developing LLMs specifically for healthcare that claim to be incorporating peer-reviewed sources of information.
Allegheny Health Network rolled out a large language model designed exclusively for use by its staff members. You can think of the tool as the health system’s own version of Chat-GPT, said Ashis Barad, AHN’s chief digital and information officer.
Mass General Brigham researchers conducted a study to learn more about the efficacy of large language models when used to draft responses to patient messages in the EHR. The results showed that these AI tools can do a good job at reducing physicians’ workloads and improving patient education — but also that these tools have limitations that require human oversight.
With the right solutions, providers can spend more time with the patient, building the relationship, earning their trust, and focusing on the forward-looking health journey.
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.