The limitations of general-purpose AI in an emotional support context aren't what it says. They're about what it can't detect, including the markers of acute distress that a purpose-built system is specifically architected to recognize.
The introduction of consumer-facing health AI should be understood less as a clinical breakthrough and more as a cultural one. Patients now expect their health information to be as accessible and navigable as their banking or travel data. That expectation will reshape how health systems design digital experiences and how vendors think about patient engagement.
By reducing administrative burden and redesigning workflows around human needs, it creates space for what matters most: connection between clinicians and patients.
General-purpose LLMs have meaningful value in healthcare - they can support education, documentation and research - as well as lower barriers to knowledge and help improve communication. But acting as a clinical assistant embedded in care delivery requires more - it needs longitudinal EHR grounding, explicit encoding of clinical guidelines, transparent and traceable reasoning and the ability to operate securely at a population scale.
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.
When the technology changes even slightly, the psychological impact can be detrimental to a person’s health and sometimes, even debilitating.
Discover the top AI-powered EAP providers for 2026. Compare platforms like Kyan Health and Spring Health on triage speed, global reach, and clinical quality to transform workforce wellbeing.
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.
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.
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
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.
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.