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Why More Communication Hasn’t Fixed Care Coordination

Care coordination in physician practices still depends too heavily on people manually moving information between systems. When breakdowns occur, the default response is more calls, more messages, more faxes, and more follow-ups. But the issue isn’t a lack of communication. It’s that human communication has become the infrastructure holding fragmented workflows together.

That model does not scale. And it is time to question it.

Human communication has become the coordination layer

When we say “more communication,” we are not talking about systems communicating with each other. We are talking about people.

People repeating information because it never fully made it into the chart. People tracking details across EHRs, portals, fax inboxes, email, and referral workflows. People filling gaps when information arrives late, incomplete, or buried inside external documents.

In many physician practices, communication is no longer supporting coordination; it is performing it. The result is more work layered onto the same people, not better coordination.

Technology exists, but responsibility remains manual

Most physician practices are not operating without tools. They use EHRs, hospital portals, secure messaging, referral workflows, and health information exchanges.

But tools are not the same as automation.

In some areas, technology exists but is not trusted to perform as promised. In others, critical automation layers were never built at all. When systems do not reliably move information end to end, people step in to compensate.

External medical records are one of the clearest examples. Practices have systems to document care once records arrive. What many do not have is automated retrieval and preparation of those records before care begins. Because that layer is missing, people request, track, follow up, reconcile, and confirm.

Communication increases because there is no alternative.

And this pattern extends beyond medical records. Referral follow-ups, care transitions, and test confirmations multiply wherever systems stop short and human coordination fills the gap.

What this looks like inside a practice

Care coordination rarely lives in a single role. It is layered onto front desk staff, clinical coordinators, nurses, and clinicians who are already managing full workloads.

Record requests happen between rooming patients. Referral confirmations happen between phone calls. Clinicians begin visits with charts that appear complete but still require extra time because information is scattered, buried inside faxes or external charts, or arrives too late to be fully useful.

The visit happens because people absorb the complexity.

Over time, that takes a measurable toll. Stress increases. Frustration builds. Job satisfaction declines. Manual coordination becomes normalized, even in strong, well-run practices.

Why this model persists

As long as care moves forward, the system appears to be working.

If the chart is ready enough when the visit begins, the effort required to get there is rarely examined. Extra coordination becomes part of the job. Delays are absorbed rather than investigated. Manual follow-up is treated as inevitable.

The dependency on people remains invisible because it works just well enough.

Moving from over-communication to accountable systems

Improving care coordination does not mean eliminating human communication. It means restoring it to its proper role.

Communication should advance care decisions, not function as the integration layer between disconnected systems.

That shift requires deliberate action:

  • Identify where people are acting as the system. Repeated follow-ups and confirmations signal structural gaps. Once identified, redesign those workflows so responsibility sits with technology, not staff memory.
  • Separate adoption problems from capability gaps. If a tool exists but is underused, fix training and accountability. If the tool was never designed to automate the workflow in the first place, stop expecting it to. Either adjust expectations or implement technology that can actually carry the responsibility.
  • Replace fully manual processes. If a workflow depends entirely on staff remembering, chasing, and reconciling, it is not sustainable. Manual coordination should be the exception, not the backbone. That means investing in automation where it is structurally missing.
  • Hold vendors accountable for end-to-end outcomes. If a system is meant to move information from origin to chart, it should reliably do so. When it does not, the answer is not more communication. It is demanding better performance or adopting infrastructure that closes the gap.

If technology exists, it should carry responsibility.

When systems reliably move information from origin to chart, transparency improves and coordination stabilizes. Fewer follow-ups are required, less context has to be manually reconstructed, and teams are able to focus on patient care instead of managing coordination mechanics.

Care coordination improves not because people communicate more, but because they no longer have to.

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