Cisco’s Outshift and Infinitus Collaborate to Standardize Interoperable Agents in Healthcare

October 10, 2025

Infinitus and cisco’s Outshift Partner to Propel Agentic AI in Healthcare

A new collaboration seeks to dramatically reshape healthcare administration and patient interaction. Infinitus Systems and Outshift by Cisco have announced a partnership designed to streamline operations thru the advanced implementation of Agentic Artificial Intelligence.

Addressing Critical Challenges in Healthcare

Healthcare professionals are currently burdened with a significant amount of administrative work. Common tasks such as managing patient communications,securing prior authorizations,and verifying insurance details consume valuable time and resources,frequently enough detracting from direct patient care. According to a recent report by Becker’s Hospital Review, physicians spend nearly as much time on administrative tasks as they do with patients.

The Power of Agentic AI

Infinitus specializes in developing AI agents that automate and simplify these routine yet crucial workflows.These agents can rapidly process tasks that formerly required 24 to 48 hours, reducing processing times to mere seconds or a few hours. This acceleration directly translates to improved access, a better experience, and ultimately, better outcomes for patients and healthcare staff.

A Scalable Solution with Outshift

To amplify its impact, Infinitus is integrating its technology with Outshift by Cisco. This collaboration focuses on orchestrating multiple AI agents, enabling more effective service to clinicians, patients, and administrative teams. Papi Menon, Chief Product Officer and Vice President of Product Management for Outshift by Cisco, emphasized the potential to “build infrastructure that elevates the consumer experience, reduces administrative burden, and streamlines complex workflows.”

Open Standards and interoperability

Interoperability and data security are paramount for Infinitus. The company’s AI agents are designed using open standards,including Model Context Protocol (MCP) and Agent-to-Agent (A2A). This commitment ensures seamless and secure integration within any orchestration environment. Infinitus is also actively contributing to AGNTCY, an open-source framework hosted by the Linux Foundation, aiming to establish global standards for AI agent interaction.

Here’s a speedy comparison of key technologies involved:

Technology	Description
Agentic AI	AI systems that can perform tasks autonomously.
Model Context Protocol (MCP)	An open standard for AI agent interaction.
Agent-to-Agent (A2A)	A protocol enabling direct interaction between AI agents.
AGNTCY	An open-source framework for standardized agent interaction.

This partnership builds on Infinitus’s recent successes, including expanded collaborations with Salesforce to automate payor-facing workflows, and IBM to enhance specialty pharmacy services with agentic AI. Infinitus was also recently recognized as one of Fast Company’s World’s Moast Innovative Companies of 2025.

The Rise of Agentic AI in Healthcare: A Long-Term perspective

The integration of Agentic AI represents a essential shift in how healthcare organizations operate. As AI technology continues to mature, we can expect to see increasingly sophisticated applications that not only automate routine tasks but also assist in complex decision-making. This trend is driven by several factors, including the growing volume of data in healthcare, the increasing demand for personalized care, and the need to reduce costs. Looking ahead, accomplished implementation will hinge on addressing key considerations such as data privacy, algorithmic bias, and the evolving role of healthcare professionals in an AI-driven environment.

Frequently Asked Questions About Agentic AI in Healthcare

• What is Agentic AI? Agentic AI refers to Artificial Intelligence systems designed to act independently to achieve specific goals, automating tasks and making decisions without constant human intervention.
• How does Agentic AI improve healthcare efficiency? By automating repetitive tasks like appointment scheduling, insurance verification, and patient follow-ups, Agentic AI frees up healthcare professionals to focus on patient care.
• What are the key standards for interoperability in Agentic AI? Key standards include Model Context Protocol (MCP) and Agent-to-Agent (A2A), ensuring seamless AI agent communication and integration.
• is patient data secure with Agentic AI systems? Security is a top priority, with systems built on open standards and designed for secure integration within existing healthcare infrastructure.
• What impact will Agentic AI have on the role of healthcare workers? agentic AI will augment, rather than replace, healthcare workers, allowing them to focus on more complex tasks and improve the quality of patient care.

What are your thoughts on the role of AI in transforming healthcare? Share your perspective in the comments below!

How does the collaboration between Cisco Outshift adn Infinitus Systems specifically tackle the challenge of AI agent interoperability in healthcare?

The Rise of AI Agents in Healthcare & The Interoperability Challenge

Artificial intelligence (AI) agents are rapidly transforming healthcare, automating tasks like appointment scheduling, patient triage, and even preliminary diagnosis. Though, the fragmented nature of healthcare systems and the diverse technology stacks employed present a significant hurdle: interoperability. Different AI agents often struggle to communicate and share data seamlessly, hindering their potential impact. This is where the collaboration between Cisco’s Outshift platform and Infinitus Systems becomes crucial. The partnership aims to establish standardized, interoperable agents, fostering a more connected and efficient healthcare ecosystem. Key terms driving this shift include healthcare AI, AI agent interoperability, and digital health solutions.

Understanding Cisco Outshift and Infinitus Systems

Cisco outshift, a cloud-native, full-lifecycle AI platform, provides the infrastructure and tools necessary to build, deploy, and manage AI applications at scale. It focuses on simplifying the AI lifecycle, from data preparation to model training and deployment. Outshift’s strength lies in its ability to handle complex AI workloads and integrate with existing Cisco networking and security solutions.

Infinitus Systems, conversely, specializes in creating a universal agent framework.Their platform allows developers to build AI agents once and deploy them across multiple healthcare systems without requiring extensive customization. Infinitus champions the concept of agentic workflows and composable AI, enabling healthcare organizations to leverage the power of AI without being locked into specific vendors.

How the Collaboration Addresses Interoperability

the core of the collaboration lies in leveraging Outshift’s robust infrastructure and Infinitus’s standardized agent framework. Here’s a breakdown of how it works:

* Standardized Agent Definition: Infinitus provides a common language and structure for defining AI agent capabilities, nonetheless of the underlying technology. This ensures agents built on different platforms can understand and interact with each other.

* Outshift as the Deployment Engine: cisco Outshift serves as the secure and scalable platform for deploying and managing these standardized agents.Its cloud-native architecture allows for rapid scaling and efficient resource allocation.

* Secure Data Exchange: The partnership prioritizes secure data exchange between agents and healthcare systems, adhering to stringent HIPAA compliance standards and leveraging Cisco’s security expertise.This is paramount for maintaining patient privacy and data integrity.

* Simplified Integration: The combined solution simplifies integration with existing Electronic Health Record (EHR) systems, patient portals, and other healthcare applications. This reduces the burden on IT departments and accelerates the adoption of AI-powered solutions.

Benefits of Standardized Interoperable Agents

The benefits of this collaboration extend across the healthcare spectrum:

* Improved Patient Care: Seamless data sharing between agents can lead to more accurate diagnoses, personalized treatment plans, and proactive patient monitoring.

* Reduced Administrative Costs: Automation of routine tasks,such as appointment scheduling and insurance verification,can significantly reduce administrative overhead.

* Enhanced Operational Efficiency: Streamlined workflows and improved communication between systems can optimize hospital operations and resource allocation.

* Faster Innovation: A standardized agent framework encourages innovation by allowing developers to focus on building new AI capabilities rather than dealing with integration complexities.

* Scalability and Flexibility: The cloud-native architecture of Outshift allows healthcare organizations to easily scale their AI deployments as needed.

Real-World Applications & Use Cases

Several potential use cases highlight the power of this collaboration:

1. Automated Prior Authorization: An AI agent can automatically verify patient insurance coverage and obtain prior authorization for medical procedures, reducing delays and improving patient access to care.
2. Remote Patient Monitoring: Agents can analyze data from wearable devices and remote sensors to identify patients at risk of deterioration and alert healthcare providers. This supports telehealth initiatives and proactive care management.
3. Personalized Medication Reminders: AI agents can send personalized medication reminders to patients via text message or email, improving medication adherence and reducing hospital readmissions.
4. AI-Powered Triage: Agents can assess patient symptoms and direct them to the appropriate level of care, reducing wait times in emergency departments.
5. Clinical Documentation Improvement: Agents can assist clinicians with documentation, ensuring accuracy and completeness of medical records.

Addressing Security and Compliance Concerns

Healthcare data is highly sensitive, and security is paramount. The Cisco-Infinitus collaboration addresses these concerns through:

* End-to-End Encryption: Data is encrypted both in transit and at rest, protecting it from unauthorized access.

* Role-Based Access Control: Access to data and agent functionalities is restricted based on user roles and permissions.

* Audit Trails: Comprehensive audit trails track all agent activities, providing transparency and accountability.

* HIPAA Compliance: The entire solution is designed to meet the stringent requirements of the health Insurance Portability and Accountability Act (HIPAA).

* Regular Security Assessments: Ongoing security assessments and penetration testing are conducted to identify and address potential vulnerabilities.