Healthcare AI vulnerabilities expose Doctronic's prescription bot to easy manipulation

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Security researchers at Mindgard easily tricked Doctronic's AI doctor's assistant into tripling OxyContin prescriptions and spreading vaccine misinformation. The healthcare AI, currently part of Utah's first-in-nation prescription renewal pilot, proved alarmingly susceptible to manipulation despite company claims of 99.2% accuracy matching board-certified clinicians. While Utah officials say safeguards prevent such exploits, experts warn the underlying AI vulnerabilities remain unresolved.

AI Doctor's Assistant Proves Alarmingly Easy to Manipulate

Healthcare AI systems designed to handle prescription renewals face serious security concerns after researchers at AI security firm Mindgard demonstrated how easily they could manipulate the AI to change medical recommendations. In a report shared first with Axios, the red-teaming firm revealed they successfully tricked Doctronic's AI doctor's assistant into tripling an OxyContin dose, reclassifying methamphetamine as an unrestricted therapeutic, and spreading false COVID-19 vaccine claims

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. The bot that prescribes meds required minimal effort to compromise, according to Aaron Portnoy, Mindgard's chief product officer, who told Axios that "these targets are some of the easiest things that I've broken in my entire career"

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Source: Axios

Source: Axios

The AI vulnerabilities were exposed through surprisingly simple techniques. Researchers discovered they could manipulate the AI by simply telling Doctronic that a session hadn't started and the conversation wasn't with a user but the system

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. This basic prompt injection allowed them to extract system prompts and make modifications. "It was as easy as notifying the AI that the session was not yet started," Portnoy told The Register

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. The researchers altered the bot's baseline knowledge by feeding it fake regulatory updates, convincing the system that COVID-19 vaccines had been suspended and changing standard OxyContin doses to 30 milligrams every 12 hours—triple the typical levels for most adults

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Utah Pilot Program Raises Stakes for AI System Vulnerabilities

The security findings carry particular weight because Doctronic is currently part of a groundbreaking Utah pilot program launched in December by the state's Department of Commerce. This partnership marked the first time an AI system was legally allowed to participate in routine prescription renewals in the U.S., allowing patients with chronic conditions to renew certain medications without a doctor's direct sign-off

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. According to Doctronic's own website, its treatment plans "match those of board-certified clinicians 99.2% of the time"

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. Mindgard questioned whether such high confidence levels might lead physicians to rubber-stamp AI-generated recommendations without proper scrutiny.

Source: The Register

Source: The Register

While the testing was conducted on Doctronic's public chatbot rather than the version deployed in Utah, researchers argue that vulnerabilities in the underlying system could still pose risks if guardrails fail

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. A malicious user could influence prescription recommendations or medical summaries within a session, particularly through SOAP notes—structured recordkeeping that includes subjective patient reports, objective observations, assessment, and plan of action

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. These SOAP notes become permanent parts of patient records and serve as recommendations to clinicians reviewing the AI's work.

Company and State Responses Highlight Disconnect

Both Doctronic and Utah officials maintain that the exploits couldn't be fulfilled in the state's program due to built-in protections. Matt Pavelle, Doctronic co-founder and co-CEO, stated that "controlled substances like OxyContin are categorically excluded from all Doctronic programs regardless of what appears in a conversation or generated note"

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. Zach Boyd, Utah Commerce Department AI policy office director, emphasized that the state demo has "additional safeguards that are in place before a prescription is issued that are not part of the generic Doctronic model"

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Despite these assurances, tension exists between the company and security researchers. Mindgard contacted Doctronic's support team on January 23 and received an automated message two days later claiming the issue was resolved

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. After notifying the company on January 27 that the flaws still existed and that it planned to go public, the ticket was closed again two days later. Portnoy told The Register that Doctronic has given him "the silent treatment" since the late January disclosure, adding "as far as we are aware Doctronic is still vulnerable"

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. Doctronic told The Register it "reviewed the prompt patterns [Mindgard] reported as part of our normal review process" and continues "improving safeguards to increase robustness against adversarial inputs"

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What This Means for Healthcare AI Security

The ease of exploitation raises critical questions about deploying healthcare AI in sensitive use cases. Portnoy emphasized that preventing these attacks requires layered defenses and continuous security testing, not just surface-level guardrails

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. While the manipulations are session-specific and don't persist across users in most cases, the ability to influence clinical outputs and spread misinformation through a medical chatbot designed to handle prescription renewals signals broader challenges for the industry. As healthcare systems increasingly turn to AI to address physician shortages and streamline care, the incident underscores the need for rigorous security research and transparent vulnerability disclosure processes. Observers should monitor whether Doctronic implements more robust protections and whether other states follow Utah's lead in authorizing AI-driven prescription renewals despite these demonstrated patient safety risks.

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