Healthcare workers spend countless hours on repetitive tasks that could be automated. The problem? Most automation tools require technical skills that busy medical staff simply don’t have time to learn.
Keragon just launched a solution that could change this. Their new AI platform lets healthcare teams build HIPAA-compliant automations using plain English commands instead of complex coding.
The timing couldn’t be better. Healthcare technology has exploded by 73% in less than a decade, but these systems rarely talk to each other. This creates expensive inefficiencies that cost the industry billions.
How does it work?
Keragon AI works like having a conversation with a tech-savvy assistant. Instead of writing code or filling out complicated forms, users simply describe what they want to automate.
For example, an operations team might type: “Help me minimize appointment no-shows.” The AI then creates a complete workflow that the team can review, test, and launch immediately.
The platform connects over 300 popular healthcare software systems. It can automate patient intake, route referrals, and sync data across electronic health records that normally don’t communicate with each other.
Most importantly, everything runs within HIPAA compliance guardrails. The AI ensures patient data protection is built into every automated workflow from the start.
Why does it matter?
Patient no-shows alone cost the US healthcare system $150 billion annually. That’s money that could be spent on actual patient care instead of administrative overhead.
Early results look promising. A multi-site outpatient clinic in Massachusetts used Keragon AI to tackle their no-show problem. They reported fuller appointment schedules and cut their reminder-related admin time by double digits.
“Healthcare professionals are exhausted by tools that promise efficiency but deliver technical dependency,” said Conno Christou, Keragon’s CEO and co-founder. “They know exactly what they want to automate. They just shouldn’t need an engineer to do it.”
The bigger picture is about giving control back to the people who actually understand healthcare workflows. Clinical and operations teams know their pain points better than anyone. Now they can fix them directly.
The context
This represents a shift from the first wave of healthcare automation, which required IT departments to manually configure systems. That approach created bottlenecks and kept automation locked away from the people who needed it most.
Healthcare’s technology stack keeps growing more complex. New software gets added regularly, but integration between systems remains a major headache. Each disconnected system creates more manual work for staff.
Keragon AI aims to bridge these gaps without requiring technical expertise. It’s part of a broader trend toward no-code and low-code solutions that democratize technology creation.
The question now is whether healthcare organizations will embrace this approach. Early adoption could give some providers a significant efficiency advantage over competitors still stuck with manual processes.