Seven Ways to Use Agentic AI in Healthcare

Samesurf is the inventor of modern co-browsing and a pioneer in the development of core systems for Agentic AI.

Today’s healthcare landscape presents a network of interrelated pressures that organizations must navigate carefully. Rising operational costs, persistent labor shortages, and heavy administrative workloads contribute to widespread clinician burnout. Traditional technology solutions remain largely reactive and execute predefined commands or analyzing static datasets rather than anticipating problems or taking proactive action.

A transformative solution is now emerging: Agentic AI. Unlike conventional tools, Agentic AI shifts systems from passive to autonomous, goal-oriented agents capable of reasoning, planning, and acting with minimal human oversight. By extracting insights from vast datasets, Agentic AI can take intelligent, autonomous steps to enhance patient care, streamline workflows, and reduce the burden on healthcare professionals. 

Understanding the Unique Power of Agentic AI

To fully appreciate the value of Agentic AI, understanding how it differs from traditional AI and generative AI is essential. Traditional AI focuses on narrow, well-defined tasks, analyzing data and producing outputs based on programming without independent decision-making or multi-step process management. Generative AI excels at creating content such as medical summaries, reports, or educational materials, but remains reactive and dependent on human prompts for guidance.

Agentic AI moves beyond both approaches. With true autonomy, these systems operate independently to achieve predetermined objectives, orchestrating multiple systems, tools, and workflows simultaneously. For example, an Agentic AI system can process patient records, schedule follow-up appointments, coordinate resources, and monitor outcomes automatically. This ability to manage complex, interconnected processes distinguishes Agentic AI as a transformative force in healthcare delivery.

The PERAR Loop: Continuous Learning and Action

The intelligence of an Agentic AI system relies on a continuous, self-improving cycle known as the PERAR loop. This framework includes four stages:

• Perception: The AI-enabled system gathers information from multiple sources, including electronic health records, medical devices, patient inputs, and external databases.
• Reasoning: Advanced algorithms within the Agentic AI system analyze the collected data, interpret context, and generate actionable recommendations.
• Action: The AI-enabled agent executes tasks, updates workflows, or interacts with healthcare systems to achieve desired outcomes.
• Reflection: The AI-enabled system evaluates results, learns from successes and failures, and refines future strategies. 

This cycle allows the Agentic AI system to improve continuously and enhance accuracy, efficiency, and adaptability. Unlike conventional systems that remain static, Agentic AI enables agents to grow smarter over time and evolve in response to the dynamic demands of healthcare.

Samesurf’s Role

For Agentic AI to reach its full potential, robust infrastructure is needed to support real-world healthcare operations. Many healthcare systems combine modern electronic health records with legacy web-based platforms that lack standard interfaces, creating challenges for automation. Samesurf’s patented technology addresses this gap by enabling autonomous agents to navigate and interact with complex digital environments in a simulated session, mirroring the behavior of human users.

Functioning as “virtual hands and eyes,” this technology allows agents to complete forms, manage dynamic content, and move fluidly through fragmented workflows. In healthcare, where critical data is often distributed across multiple systems, this capability is indispensable. Samesurf also empowers clinicians to maintain oversight through features that allow them to observe, supervise, or assume control of autonomous agents when needed.

Security and compliance remain paramount. Samesurf meets stringent standards including HIPAA, GDPR, and ISO 27001. Sensitive information is automatically redacted, ensuring patient data stays protected while agents perform their tasks effectively. By combining secure access, human oversight, and system adaptability, Samesurf establishes a foundational layer for deploying Agentic AI safely and efficiently in healthcare.

Seven Transformative Applications of Agentic AI

Agentic AI’s unique capabilities of autonomy, proactivity, and continuous learning unlock applications across the entire healthcare value chain:

1. Enhanced Diagnostic and Imaging Analysis: AI-enabled agents can analyze millions of medical scans with speed and precision, while detecting subtle conditions that human clinicians might overlook. Systems prioritize urgent cases, generate reports, and recommend next steps. 
2. Personalized Treatment Planning: AI-enabled agents enable precision medicine by analyzing genomic data, patient history, and lifestyle factors to recommend tailored treatment plans. 
3. Accelerated Drug Discovery: Agentic AI systems orchestrate complex R&D workflows, screening billions of compounds, identifying targets, and optimizing clinical trials.
4. Streamlined Administrative and Operational Tasks: Routine administrative work contributes heavily to clinician burnout. Agentic AI automates documentation, scheduling, billing, and insurance verification.
5. Proactive Patient Engagement and Virtual Health Assistants: AI-enabled agents provide continuous support, assess symptoms, and monitor treatment progress.
6. Intelligent Care Coordination and Supply Chain Management: Fragmented patient data can impede care. Agentic AI systems integrate information from multiple EHRs, predict high-risk patients, coordinate care teams, and automate follow-ups. They also optimize supply chains by forecasting demand, managing inventory, and allocating resources efficiently, ensuring both patient care and operational logistics are handled proactively. 
7. Predictive Healthcare and Real-Time Monitoring: By analyzing data from wearables and bedside monitors, AI-enabled agents identify early warning signs and help prevent health crises.

The full potential of agentic AI is realized when multiple agents work together across diagnostic, administrative, and care coordination tasks. This ecosystem approach enables seamless, proactive healthcare delivery and maximizes efficiency across the entire patient journey.

Benefits and Ethical Considerations

Agentic AI delivers measurable advantages:

• Improved Patient Outcomes: Early detection, precision treatment, and proactive monitoring enhance health results and reduce readmissions.
• Increased Efficiency: Automating routine tasks frees clinicians to focus on complex cases and direct patient care.
• Cost Reduction: Optimized workflows and improved outcomes lower operational costs and improve resource allocation.

However, implementing agentic AI requires careful attention to ethical challenges:

• Data Privacy and Security: Compliance with HIPAA, GDPR, and other regulations is essential, along with strong encryption, anonymization, and access control.
• Transparency and Explainability: Clinicians must understand AI decision-making to trust and validate its recommendations. Explainable AI methods provide clarity on diagnoses, treatment suggestions, and risk predictions.
• Bias and Fairness: Ensuring diverse training data reduces risks of inequitable outcomes based on race, gender, or socioeconomic status.
• Human Oversight: Human clinicians must retain final authority in high-stakes decisions to ensure safety and accountability.

The Future of Healthcare

The trajectory of Agentic AI is toward more autonomous, self-improving, and personalized systems. Future AI models will learn from outcomes, refine strategies, and adapt to changing circumstances. This gives AI-enabled agents the capacity to act less as static tools and more as collaborative partners, thereby assisting clinicians and patients in real time.

Samesurf’s technologies create the critical link between AI decision-making and real-world application in complex healthcare settings. By maintaining security, compliance, and human oversight, Samesurf equips AI-enabled agents to operate reliably and effectively, while safeguarding sensitive patient information.

With thoughtful implementation, Agentic AI can transform healthcare from reactive management to proactive care. It empowers clinicians, improves patient outcomes, reduces costs, and enhances operational efficiency. Ultimately, the healthcare industry can evolve into a collaborative ecosystem where humans and AI-enabled agents work together to deliver smarter, faster, and more personalized care for all patients.

Visit samesurf.com to learn more or go to https://www.samesurf.com/request-demo to request a demo today.