US Healthcare Provider Partners with AI Firm Anthropic

A leading US healthcare provider has partnered with AI technology firm Anthropic to connect patient medical records with its conversational AI model Claude.

The partnership involves Athenahealth launching a Model Context Protocol (MCP) compatible server that links up with Anthropic's Claude. This new system, called AthenaPatient MCP, enables the AI model to access and draw upon health record information to answer related queries. The data exchange process is reportedly secure, requiring patients to log in using their account credentials.

To use this feature, patients must be users of either Claude Pro or Claude Max, which come at a cost of $20 and $100 per month respectively. Not all Athenahealth patients will have their records shared with Claude, and not every user of the two AI models is required to opt-in to the service. Users can grant access to specific health information and choose when to revoke it.

Once patients give Claude permission to access their data, the AI model can draw upon a range of health details including lab results, medical histories, medications, health conditions, immunizations, diagnostic reports, allergies, procedures, and care plans in responding to patient queries.

The new AI-powered tool is designed to aid patients in understanding their medical information, rather than providing expert advice or guidance.

Athenahealth's partnership with Anthropic has introduced a system where patients can query their medical records using natural language processing. However, it's essential for users to understand that this tool does not offer medical advice and should not replace professional judgment from qualified healthcare professionals.

When accessing patient data through the AthenaPatient MCP tool, users can ask questions about specific health metrics, such as lab results or medication lists. For instance, a user might inquire about their recent blood test results, but they shouldn't expect Claude to explain the implications of abnormal readings.

Athenahealth has clarified that the agreement with Anthropic prohibits the use of accessed data for training models or improving products. This ensures that patient information remains confidential and secure within the partnership.

As part of a broader trend in healthcare technology, other major collaborations have emerged recently, including Microsoft's partnership with Mayo Clinic to develop an AI model for healthcare, as well as Boston Children's Hospital's collaboration with OpenAI on an enterprise AI system.

The trend of healthcare providers partnering with tech companies to develop AI-powered solutions is gaining momentum. One such partnership involves Athenahealth and Anthropic, which has now enabled patients to ask the AI model Claude about their medical records.

This development comes as a growing number of Americans are seeking medical advice from chatbots. A recent survey found that nearly one-third of US adults have consulted with a chatbot for health-related queries. This trend is likely driven by convenience and accessibility, rather than a lack of trust in human healthcare professionals.

The partnership between Athenahealth and Anthropic has made the process more secure by requiring patients to authorize access to their account credentials before granting Claude access to their medical records. This move aims to mitigate concerns about data privacy and security.

By automating tasks such as answering patient queries, the AI model could potentially free up time for healthcare professionals to focus on more complex and high-priority tasks.

A recent survey conducted by Pew Research Center suggests that Americans are not entirely convinced about the benefits of AI in healthcare settings. The study found that a significant number of respondents prefer human oversight when AI is used clinically.

Despite such reservations, the integration of AI models like Claude into medical records management systems could still have a positive impact on patient care. By automating routine tasks, healthcare professionals may be able to focus more attention on complex cases and provide better overall outcomes for patients.