Healthcare's AI Shift: SENA Health Touts 300% Growth with Human Touch
Amid a capacity crisis, a new model blending AI with human oversight gains traction, promising efficiency without sacrificing the crucial element of patient care.
Healthcare's AI Shift: SENA Health Touts 300% Growth with Human Touch
MULLICA HILL, NJ – January 05, 2026 – As the U.S. healthcare system grapples with an intensifying capacity crisis marked by staffing shortages and declining reimbursements, a New Jersey-based company is reporting significant growth by offering a solution that blends artificial intelligence with a critical human element. SENA Health, an AI-powered services company, announced a 300% year-over-year growth in 2025, a figure it attributes to the rising demand for practical, responsible automation in healthcare administration.
The surge in adoption of its AI-powered Command Center by prominent provider organizations, including Rothman Orthopaedics and Cardiology Consultants of Philadelphia, signals a pivotal shift in the industry. Healthcare leaders are increasingly seeking technology that can alleviate crushing administrative burdens without compromising the empathetic patient experience that remains the bedrock of quality care. This trend comes as the global AI in healthcare market is projected to expand dramatically, with some analyses predicting a compound annual growth rate (CAGR) of over 38% through the next decade, transforming a market valued in the tens of billions into one worth hundreds of billions.
SENA Health’s model aims to address the growing chasm between patient demand and operational capacity by supplementing or fully managing front desk, back office, and call center operations. The platform promises to cut administrative overhead by as much as 50%, allowing medical practices to scale their services without the traditionally corresponding increase in staff and expenses.
The Pragmatic Path to Automation
At the core of SENA Health's strategy is a model its leadership describes as a “responsible path forward” for AI in medicine. Unlike purely technology-driven solutions that can feel impersonal or create new operational risks, the company has built its platform on an “AI plus human-in-the-loop” foundation. This approach combines advanced contextual AI agents with highly trained clinical teams who monitor and supervise every automated interaction in real time.
This hybrid model was developed pragmatically. The company began by using skilled onshore and offshore teams, operating in secure environments, to handle administrative tasks. By managing millions of real-world patient interactions across diverse specialties, SENA gathered deep operational insights. This vast dataset informed the creation of task-specific AI agents designed around the actual, often messy, workflows of a medical practice, rather than on theoretical automation.
“Practices know they need to adopt AI, but they are unwilling to risk the patient experience,” said Kyle Hagemann, Chief Growth Officer of SENA Health, in a statement. “Organizations like CCP and Rothman see our AI plus human-in-the-loop model as a responsible path forward, where innovation is paired with real-time oversight and every interaction is monitored, measured, and supported by highly skilled clinical professionals.”
This deliberate methodology addresses widespread skepticism within the healthcare industry about the readiness of AI to handle sensitive patient communications and complex administrative logistics. By ensuring a human can intervene at any moment, the model provides a safety net that builds operational confidence and maintains clinical control.
Tackling the Operational Bottleneck
The pressures on modern healthcare practices are multifaceted. Providers face a difficult landscape of declining reimbursement rates, rising operational costs, and persistent staffing shortages that were exacerbated by the recent pandemic. These challenges directly impact a patient's ability to access timely care, creating bottlenecks in everything from scheduling an initial appointment to securing a necessary prior authorization for treatment.
SENA’s Command Center is engineered to directly target these pain points. The platform integrates with a practice’s existing electronic health record (EHR) and administrative systems to streamline a host of high-touch processes. These include patient intake and registration, appointment scheduling, insurance eligibility verification, referral management, and the often-arduous task of obtaining prior authorizations for procedures and medications.
By automating these repetitive, time-consuming tasks, the system frees up on-site staff to focus on in-person patient needs and more complex clinical responsibilities. This not only improves operational efficiency but also directly addresses a primary cause of administrative staff burnout. The goal is a virtuous cycle: as the AI absorbs more routine work, the system's reliability improves, access to care expands, and long-term operating costs are reduced.
A Growing Market Embraces Supervised AI
The significant growth reported by SENA Health is not occurring in a vacuum. It reflects a broader industry trend toward adopting intelligent automation to create more resilient and efficient healthcare operations. With the North American healthcare automation market projected to more than double in the next decade, providers are actively seeking proven solutions that deliver a clear return on investment.
“This growth reflects a shift in how leading healthcare organizations think about patient access,” noted Dr. Anthony Wehbe, Founder and CEO of SENA Health. “Providers want infrastructure that scales with demand, protects the patient experience, and supports their teams. SENA delivers a proven on-ramp into AI-driven operations, and the results to date show that this approach works.”
The company’s ability to secure partnerships with large, respected specialty groups like Rothman Orthopaedics lends credibility to this claim. For these organizations, maintaining a reputation for high-quality, patient-centric care is paramount, and their adoption of this model suggests a growing confidence that AI, when properly supervised, can enhance rather than detract from that mission.
While the market includes technology giants like Microsoft and Google, as well as a host of specialized startups, SENA’s key differentiator appears to be its integrated service model. Instead of simply selling software, the company partners with organizations, providing the technology, the trained oversight teams, and the operational management as a comprehensive service. This allows practices to adopt cutting-edge automation without needing to build and manage the complex infrastructure themselves.
Balancing Innovation with Patient Trust and Safety
Perhaps the most critical challenge for any AI solution in healthcare is navigating the complex web of regulatory compliance and patient trust. Handling Protected Health Information (PHI) requires strict adherence to HIPAA, and any tool that interacts with patients must be reliable, safe, and secure. The “human-in-the-loop” model is a direct response to this challenge.
By ensuring that every AI interaction is monitored, the system provides a layer of quality assurance and ethical oversight. This continuous human supervision not only helps prevent errors but also provides a constant stream of feedback for improving the AI agents’ performance over time. Furthermore, the platform provides executive dashboards with real-time analytics, giving healthcare leaders visibility into key performance indicators such as task completion rates, operational efficiency, and even patient sentiment.
This focus on measurement and transparency is crucial for building trust. It allows organizations to quantify the impact of automation on both their bottom line and the quality of their patient service. Rather than replacing human jobs, this model points toward an evolution of roles, where administrative staff are upskilled to become supervisors of automated systems and handlers of more complex, escalated patient needs. In this vision, technology serves to augment human capability, allowing healthcare professionals to dedicate more of their time and energy to the uniquely human aspects of providing compassionate care.
📝 This article is still being updated
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