Healthcare AI Tools

Healthcare AI tools are software applications that use artificial intelligence and machine learning to analyze data, identify patterns, generate recommendations, or automate tasks in healthcare environments. Common uses include medical-image analysis, clinical decision support, predictive analytics, ambient clinical documentation, patient communications, care coordination, scheduling, and revenue-cycle operations. These tools are intended to support healthcare professionals and improve efficiency, but do not eliminate the need for clinical judgment, human review, or accountability.

Some healthcare AI tools require access to sensitive systems and information, including electronic health records (EHRs), patient data, medical devices, and administrative applications. Organizations therefore need cybersecurity and access controls that protect this information and, where applicable, limit excessive or unintended actions by AI agents. The first step is to assign each AI agent a distinct, accountable digital identity, just as organizations do for human users and applications. Then organizations can establish identity-led governance that accounts for all of the agents, people, applications, and devices interacting with critical systems. Controls such as least-privilege access, context- and risk-based permission management, and clear approval processes can help ensure AI agents only access the information and systems necessary for their defined purpose. Organizations should also continuously monitor AI agents to detect anomalous behavior and maintain a clear audit trail for accountability.

Healthcare AI tool security becomes especially important as organizations adopt AI agents that can interpret information, make decisions within defined parameters, and take actions across connected systems. The report, The Agentic AI trust gap: Why healthcare needs identity-led governance, explains how the shift from AI-generated output to AI-directed action creates new accountability and security requirements. Organizations must know which agents are authorized, who owns them, what permissions they have, and how to review their activity and stop it quickly when necessary. These controls are especially important in healthcare, which, compared to other industries, has experienced the costliest data breaches over the past 13 years. These protections should include inventories of authorized tools, short-lived or brokered access, real-time monitoring, audit trails, and human approval for higher-risk actions. Security software for managing AI tools can support these controls, while monitoring AI tools can help identify unusual behavior, excessive permissions, unauthorized access, or activity that deviates from approved workflows.

Imprivata helps healthcare organizations secure access across users, devices, applications, and workflows with Imprivata Agentic Identity Management. This Agentic AI tool security technology treats AI agents as managed identities, provides visibility into their activity, enforces least-privilege access, and supports real-time auditing and revocation. By connecting identity security, access controls, analytics, and human oversight, Imprivata helps healthcare organizations adopt and scale AI tools while maintaining patient privacy, system integrity, and accountability for high-impact actions.