Automation is a frequent topic in healthcare discussions today. However, many hospitals, health systems and payer organizations still rely on manual processes. Teams manually transfer data between systems, chase approvals over email, and rely on workarounds just to keep things moving.
At the same time, automation is already delivering value in several areas across healthcare operations:
- Revenue cycle teams use automation to speed up eligibility checks, lower denial rework, and allow staff to focus on exceptions rather than routine tasks.
- Clinical and administrative workflows gain from automation in areas like patient intake, scheduling, referrals, and documentation handoffs. This helps reduce bottlenecks without disrupting clinical decision-making.
- Interoperability workflows utilize automation to transfer data between systems more reliably. This cuts down on manual reconciliation and delays from fragmented data exchange.
These examples demonstrate that automation is effective in this setup. The main challenge for most healthcare organizations is not finding opportunities. Rather, it is achieving consistency, manageability, and scalability of automation across the organization.
Why Scaling Automation Becomes Hard?
Healthcare workflows rarely belong to just one system or team. A single process often involves clinical staff, operations, IT, billing, and external partners. Data moves between EHRs, billing and payer systems, and spreadsheets. This complexity makes even a simple automation tougher to design and maintain.
There’s also little room for error. Compliance, data privacy, and patient safety are critical. When automation fails, it doesn’t just slow a process; it can impact care delivery, revenue, or reporting.
Most automation efforts begin organically. One team builds a workflow to solve a problem. Another creates a bot to speed up a specific task. These initiatives often produce quick wins, but eventually, they accumulate. Ownership becomes unclear, and maintenance demands grow. Teams end up spending more time fixing and coordinating than developing new automation.
At this point, automation starts to feel harder instead of easier.
The Role of a Center of Excellence in Healthcare Automation
This is where a Center of Excellence (CoE) becomes important. In practical terms, a healthcare automation CoE provides a shared model for how to plan, build, and scale automation across teams.
Instead of having automation operate in separate departments, a CoE clarifies ownership, standards, and decision-making. It helps organizations agree on what should be automated, how to prioritize work, and how to support solutions over time.
For healthcare, this structure is essential. A CoE helps ensure that automation meets compliance and data privacy requirements while progressing at a reasonable pace. It also promotes the reuse of proven methods, which reduces duplication and makes automation easier to maintain as systems and workflows change.
A well-run CoE doesn’t slow down teams or stifle local innovation. It provides teams with guidelines and shared practices so automation can expand without causing confusion.
How VNB Helps Healthcare Organizations Scale Automation
At VNB, we partner with healthcare organizations that want to go beyond isolated automation efforts and create something more long-lasting. Our goal is to help teams set up the right structure so automation can grow without becoming more difficult to manage.
We assist organizations in establishing clear operating models for automation. This includes governance, prioritization, and shared development practices. These models help teams focus on the work that brings the most value. They also cut down on duplication and rework across departments.
Our experience covers automation in the revenue cycle, clinical operations, administrative workflows, and interoperability scenarios. We work with organizations to see what’s already in place and find where automation can have the biggest impact. We support teams as they develop repeatable and reliable automation capabilities.
We also work with various automation technologies based on what organizations already use. Our focus is not on bringing in new tools, but on using existing platforms more effectively through better structure and coordination.
Most importantly, we focus on enablement. We work alongside internal teams, so automation becomes a long-term capability, rather than a series of one-off projects.
Making Automation Work Long Term
Healthcare automation doesn’t fail because the ideas are wrong or the tools can’t perform. It struggles when it expands faster than the framework supporting it.
Organizations that success with automation view it as a skill, not just as a series of projects. They focus on clear ownership, shared standards, and a model that can grow as more teams and systems participate. For healthcare organizations investing in automation today, the way it is structured will shape how far it can really go.
Curious about where automation could make the biggest impact in your organization? We are happy to share what we’ve seen work in practice.
