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AI Healthcare Race Heats Up: Anthropic's Claude Joins OpenAI's ChatGPT

Anthropic announced Sunday the introduction of Claude for Healthcare, a suite of tools designed for healthcare providers, payers, and patients. This announcement follows OpenAI's recent unveiling of ChatGPT Health, signaling a growing trend of AI companies targeting the healthcare sector.

Like ChatGPT Health, Claude for Healthcare aims to allow users to synchronize health data from various sources, including phones, smartwatches, and other platforms. Both Anthropic and OpenAI have stated that data ingested through these means will not be used for model training. However, Anthropic is positioning Claude for Healthcare as a more sophisticated offering than ChatGPT Health, which appears to be initially focused on a patient-oriented chat experience.

A key differentiator for Claude for Healthcare is the integration of "connectors," which provide the AI with access to relevant platforms and databases. These connectors are designed to expedite research processes and report generation for payers and providers. Specific databases accessible through these connectors include the Centers for Medicare and Medicaid Services (CMS) Coverage Database, the International Classification of Diseases, 10th Revision (ICD-10), the National Provider Identifier Standard, and PubMed. According to a blog post by Anthropic, Claude for Healthcare can leverage these connections to enhance its capabilities.

The use of large language models (LLMs) in healthcare raises concerns among some industry professionals, particularly regarding the potential for AI "hallucinations," where the AI generates incorrect or misleading information. This is especially critical when offering medical advice. However, Anthropic emphasizes the agent skills of Claude, suggesting a focus on accuracy and reliability.

The development of AI tools like Claude for Healthcare and ChatGPT Health reflects a broader movement to leverage AI to improve efficiency and outcomes in the healthcare industry. These tools have the potential to streamline administrative tasks, accelerate research, and enhance patient engagement. However, careful consideration must be given to issues of data privacy, algorithmic bias, and the potential for errors. As these technologies continue to evolve, ongoing evaluation and regulation will be crucial to ensure their responsible and beneficial deployment in healthcare settings.

AI-Assisted Journalism

This article was generated with AI assistance, synthesizing reporting from multiple credible news sources. Our editorial team reviews AI-generated content for accuracy.

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