How AI Is Transforming Patient Data Access in Healthcare
InterSystems has introduced a new AI tool called HealthShare AI Assistant. It aims to help healthcare providers access patient data more quickly and safely. Built on the existing InterSystems HealthShare platform, this assistant uses natural language to make navigating complex health records easier for clinicians.
What is the HealthShare AI Assistant?
The HealthShare AI Assistant is a conversational AI feature that allows users to ask questions about a patient’s medical history in plain language. Instead of sifting through many different reports, clinicians can simply type or speak their queries and get instant summaries or insights. It works with data from thousands of different sources, ensuring a comprehensive view of each patient’s health record.
Using generative AI technology, the assistant can surface relevant information and present it in familiar formats familiar to healthcare professionals. This means clinicians can get quick answers, whether they want a summary of a patient’s recent visits or details on specific conditions, all without leaving their workflow.
Key Features and Capabilities
The AI assistant offers pre-built prompts tailored for common clinical questions, but it also allows organizations to customize prompts based on specific needs. This flexibility helps make the tool suitable for different roles and specialties within healthcare settings. Every response the AI provides is linked back to verified records, ensuring transparency and trust in the information provided.
It seamlessly integrates with existing tools like the HealthShare Clinical Viewer and Navigation Application. This means clinicians can access the AI’s insights right where they already work, making the experience smooth and intuitive. The system also includes strong governance features, such as role-based access controls and audit logs, to ensure that data is handled responsibly and securely.
Benefits for Healthcare Providers
Early pilot programs have shown promising results. In a study with Healthix, one of the largest public health exchanges in the U.S., clinicians reported saving time and gaining better insights into patient records. The AI tool helped reduce the effort needed to review large amounts of data, making clinical workflows more efficient.
Clinicians found that the assistant provided quick, clinically validated summaries from years of records, which could be used to inform treatment decisions more rapidly. The tool’s ability to surface relevant insights instantly is seen as a major step forward in making patient data more accessible and actionable.
Overall, the introduction of the HealthShare AI Assistant is expected to benefit both healthcare providers and organizations by reducing cognitive load and improving access to key health information. It aims to make complex data more manageable and trustworthy, ultimately supporting better patient care.















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