AI Agents Join the Back Office in the Fight Against Cancer

WILMINGTON, Del. – April 13, 2026 – As oncologists battle cancer on the front lines, a new technology is tackling a different, yet critical, fight in the back office. Health technology firm Agamon Health today announced the commercial launch of OncoPrep, an AI-powered capability designed to automate the complex and often chaotic process of preparing patient charts for oncology visits. Initial results from an early adopter, the Oklahoma Cancer Specialists and Research Institute (OCSRI), are striking: medical assistants are completing their chart preparation workflows at least 34% faster.

This leap in efficiency addresses one of the most persistent challenges in cancer care—administrative burden. The journey of a cancer patient is rarely confined to a single hospital or clinic. It involves a fragmented web of specialists, imaging centers, labs, and genetic testing facilities, all generating a deluge of data in various formats. For medical staff, manually chasing down these results, reconciling information, and ensuring every prerequisite is met before a patient’s visit is a monumental task. These administrative bottlenecks can lead to delayed appointments, rescheduled treatments, and immense stress for both patients and providers.

Agamon Health's OncoPrep aims to replace this manual scramble with intelligent automation, promising not just to speed up workflows but to fundamentally improve the timeliness and coordination of care.

The Promise of 'Agentic AI' in a Fragmented System

At the heart of OncoPrep is a technology known as “agentic AI.” This represents a significant step beyond simple automation or predictive analytics. While traditional AI might identify a missing lab result, an AI agent is designed to act on that information. It can autonomously plan and execute multi-step tasks to achieve a goal—in this case, ensuring a patient is fully prepared for their appointment.

According to Agamon Health, its AI agents analyze unstructured clinical notes—the free-text narratives where crucial details of a patient's care plan often reside. From these notes, the system can identify necessary steps, such as scheduling a PET scan, awaiting genetic test results, or coordinating a referral. The AI then tracks the status of these tasks across different systems, automatically notifying external providers when results are missing and alerting oncologists to incomplete orders. This proactive approach prioritizes the most urgent tasks, ensuring nothing falls through the cracks.

"AI agents are transforming how oncology teams operate behind the scenes," said Michal Meiri, Co-Founder and CEO of Agamon Health, in the company's announcement. "By ensuring that every step required for a patient visit is completed in advance, we're helping providers deliver more timely, efficient, and coordinated care while reducing administrative workload."

This capability to interpret and act on information from disparate sources is what sets it apart. Instead of relying on rigid, pre-programmed rules, agentic AI uses the power of large language models to reason, adapt, and solve problems in a dynamic environment, functioning more like a digital team member than a static software tool.

Early Results Signal a Shift in Operational Efficiency

The 34% efficiency gain reported at OCSRI provides the first concrete evidence of OncoPrep's impact. For a busy oncology practice, this time saving is not trivial; it allows staff to manage a growing patient load without adding headcount and to reallocate their time toward more direct patient-focused activities.

Maxwell Thorsbakken, CEO at OCSRI, highlighted the clinical benefits that extend beyond simple speed. "Ensuring patients are fully prepared for oncology visits has traditionally required significant manual effort across multiple systems," he stated. "Agamon Health is helping our teams identify care gaps earlier, improve visit readiness, and streamline coordination. Early results are promising, and we believe this approach can drive meaningful improvements in both operational efficiency and patient experience."

This sentiment is echoed by broader industry research. Studies on AI assistants in primary care have shown similar benefits, with some reporting over a 60% decrease in physician preparation time for complex patients. By automatically synthesizing patient histories, lab results, and specialist notes, these tools help clinicians feel better prepared and can even lead to an increase in diagnoses found. The early results from OncoPrep suggest these benefits are now being realized in the uniquely complex field of oncology, leading to fewer last-minute visit delays and ensuring more patients receive timely treatment.

Reshaping the Workforce, Not Replacing It

The introduction of powerful automation inevitably raises questions about the future of the human workforce. However, the consensus among healthcare analysts is that AI is more likely to reshape the role of a medical assistant (MA) than to make it obsolete. The U.S. Bureau of Labor Statistics projects robust growth for MA jobs over the next decade, suggesting that AI will serve as a powerful collaborator.

By automating high-volume, repetitive tasks—chasing faxes, reconciling medication lists, confirming appointments—tools like OncoPrep free up MAs to focus on responsibilities that require a human touch. This includes more complex patient communication, providing hands-on support during visits, and managing the nuanced, interpersonal aspects of care coordination. This shift can not only lead to higher job satisfaction and reduced burnout—a critical issue in healthcare—but also creates a pathway for MAs to develop new technical skills, becoming managers of AI-driven workflows rather than performers of manual data entry.

Navigating a Competitive and Complex Landscape

Agamon Health enters a bustling and competitive health technology market. Major Electronic Health Record (EHR) vendors like Epic and Oracle Cerner are embedding their own AI capabilities, while a host of startups are offering specialized solutions for chart review and workflow automation. However, Agamon's specific focus on agentic AI for the intricate workflows of oncology may be its key differentiator.

The greatest challenge for any such technology lies in integration and scalability. Healthcare data remains notoriously siloed, and integrating a new platform with legacy EHR systems, each with its own architecture, is a significant technical and financial hurdle. Widespread adoption will depend on OncoPrep's ability to seamlessly connect with diverse systems while rigorously adhering to data privacy and security standards like HIPAA.

Agamon Health is already planning its next steps, with an upcoming implementation at New York Cancer and Blood Specialists, another major community oncology practice. This expansion, coupled with a planned presentation of more detailed results at the upcoming Community Oncology Conference, signals the company's strategic push to establish a foothold. Ultimately, the success of OncoPrep and similar technologies will be measured not just in minutes saved, but in their ability to translate back-office efficiency into better, faster, and more compassionate care for patients navigating the difficult journey of a cancer diagnosis.