Agentic AI in Action: How Real AI Agents Are Helping EAP Teams and Physicians
Expanded access and compassionate use programs give patients vital pathways to investigational therapies, but they also introduce significant operational and regulatory complexity. Life sciences teams frequently face time-consuming document handling, manual reviews, and requirements for strict compliance — all areas ripe for improvement through practical, workflow-embedded AI.
A recent MedaSystems webinar showcased how organizations are already using AI to streamline these processes safely and effectively. Rather than focusing on speculative future capabilities, the session highlighted real solutions delivering measurable impact today.
AI Adoption in Pharma Is Accelerating
Across the life sciences industry, AI has moved from experimentation to execution:
$350B in projected annual value for the pharma sector
46 of the top 50 pharma companies have implemented at least one AI initiative
Increasing use of guard-railed, deterministic AI systems built for regulated environments
Organizations are prioritizing AI that integrates directly into existing workflows, ensuring automation enhances — rather than disrupts — compliance and control.
Agentic AI Purpose-Built for Regulated Workflows
The leadership team at MedaSystems shared how purpose-built “agentic” AI is being applied to regulated activities such as expanded access program management, safety workflows, and medical document handling.
These AI agents:
Operate within strict guardrails
Complete defined tasks predictably
Support human oversight where
This practical approach enables automation of repetitive work while ensuring decisions remain compliant and reviewable.
Automated Redaction: A Clear Example of Practical Impact
One of the most compelling applications covered in the session was automated medical document redaction — a frequent bottleneck for expanded access programs.
How the Technology Works
MedaSystems’ redaction tool uses industry standard natural language and vision based detection services within a secure environment designed for handling sensitive health data to detect protected health information (PHI) across formats including:
Clinical notes
Lab reports
Scanned PDFs and images
Various physician-submitted documents
The system identifies sensitive data and proposes redactions for review, dramatically reducing manual effort.
Accuracy and Human Review
The tool provides high-fidelity identification of sensitive information. While AI handles the bulk of the work, human review remains an essential step — especially for nuanced or high-stakes cases — to ensure compliance and avoid missing information.
Efficiency Gains
By automating redaction recommendations and enabling faster review, organizations can significantly reduce administrative burden and ensure documents move more quickly through expanded access workflows.
Security and Compliance Built In
Throughout the webinar, strong emphasis was placed on security and regulatory rigor. The redaction workflow and associated AI capabilities operate within a controlled, compliant environment, with strict guardrails and configurable human-in-the-loop controls.
Together, these measures support the secure handling of medical data while enabling the scalable adoption of AI.
Looking Ahead: Expanded AI Capabilities
Future enhancements discussed in the session included:
Enhanced language support for global program support
Additional automation across multi-step workflows
Expanded AI agents capable of handling more regulated tasks end-to-end
These innovations aim to reduce friction, improve accuracy, and support increasingly global compassionate use programs.
Conclusion
The session made one trend unmistakably clear: practical, workflow-embedded AI is now central to improving expanded access and compassionate use programs. By combining automation with guardrails and human oversight, life sciences organizations can streamline complex processes without compromising compliance.
