TL;DR

Anthropic introduced Claude for Healthcare, a suite aimed at providers, payers and patients, shortly after OpenAI revealed ChatGPT Health. The product includes data-syncing and platform 'connectors' designed to assist clinical workflows such as prior authorization review; both firms say synced health data won't be used for model training.

What happened

Anthropic announced Claude for Healthcare on the Sunday following OpenAI’s ChatGPT Health reveal. The offering is presented as a collection of tools for clinicians, insurers and patients that can pull health information from phones, smartwatches and other platforms. Anthropic and OpenAI have both stated that such synced user data will not be incorporated into training datasets. Claude for Healthcare adds so-called connectors that let the model query databases and resources — for example, the CMS Coverage Database, ICD-10, the National Provider Identifier Registry and PubMed — which Anthropic says can accelerate tasks like drafting reports and reviewing prior authorizations. The company argues that automation could reduce clinicians’ administrative burden; Anthropic CPO Mike Krieger framed prior authorization as an administrative task that can be expedited rather than one that requires physician-level expertise. The product also continues to grapple with concerns about LLM hallucinations, while both companies advise users to consult healthcare professionals for definitive medical guidance.

Why it matters

  • Connectors could streamline administrative workflows such as prior authorization, potentially freeing clinician time for patient care.
  • Integration with common personal devices and health platforms reflects growing demand for AI-assisted health interactions from both patients and providers.
  • Public commitments not to use synced health data for training aim to address privacy concerns that accompany medical data use in AI.
  • The move highlights accelerated competition between major AI labs to productize healthcare-specific capabilities, raising questions about safety, validation and regulatory scrutiny.

Key facts

  • Anthropic unveiled Claude for Healthcare about a week after OpenAI announced ChatGPT Health.
  • The product targets providers, payers and patients and supports syncing data from phones, smartwatches and other platforms.
  • Anthropic and OpenAI have said synced health data will not be used to train their models.
  • Claude for Healthcare includes 'connectors' to resources such as the CMS Coverage Database, ICD-10, the National Provider Identifier Registry and PubMed.
  • Anthropic positions connectors as a way to speed research, reporting and prior authorization review for payers and providers.
  • Anthropic CPO Mike Krieger noted clinicians often spend more time on documentation and paperwork than direct patient care.
  • Industry observers remain concerned about hallucination risks when LLMs provide medical advice.
  • OpenAI reported that roughly 230 million people discuss health topics with ChatGPT each week, a sign of heavy consumer reliance on LLMs for health queries.
  • Both Anthropic and OpenAI caution users to seek care from healthcare professionals for tailored guidance.

What to watch next

  • How quickly health systems and insurers adopt Claude for Healthcare versus ChatGPT Health (not confirmed in the source).
  • Effectiveness of connectors in reducing prior authorization times and clinician administrative burden (not confirmed in the source).
  • Regulatory responses or validation studies addressing safety and hallucination risks for LLMs in clinical settings (not confirmed in the source).

Quick glossary

  • Large language model (LLM): A machine learning model trained on large volumes of text to generate or analyze human-like language.
  • Prior authorization: A payer process where a clinician submits documentation for approval before certain treatments or medications will be covered.
  • Connector: A software link that allows an AI system to access external databases or platforms to retrieve relevant information.
  • ICD-10: The 10th revision of the International Classification of Diseases, a standard diagnostic tool for epidemiology and health management.
  • CMS Coverage Database: A Centers for Medicare & Medicaid Services resource that catalogs coverage policies and related information.

Reader FAQ

Will Claude for Healthcare use synced personal health data to train its models?
Anthropic has said the synced health data will not be used for model training.

Who is Claude for Healthcare intended for?
Anthropic positions the product as a set of tools for providers, payers and patients.

Does Anthropic claim Claude will replace clinicians?
Not confirmed in the source; Anthropic emphasizes automating administrative tasks while advising users to consult healthcare professionals for medical decisions.

Is there a release schedule or pricing for Claude for Healthcare?
Not confirmed in the source.

On the heels of OpenAI’s ChatGPT Health reveal, Anthropic announced on Sunday that it’s introducing Claude for Healthcare, a set of tools for providers, payers, and patients. Like ChatGPT Health,…

Sources

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