Healthcare / Operations

Documentation generated inside the consultation, not after it

Real-time clinical documentation generated during patient consultations.

What they wanted

A clinical team whose documentation was consuming time and interrupting the consultation itself.

The problem

For this team, documentation had become a second job performed after the clinical one. The administrative load competed directly with the time available for patients.

What was getting in the way

Fragmented documentation systems that didn't talk to each other

Manual data entry that was prone to human error

Workflow disruptions that forced doctors to switch contexts constantly

What was done

Instead of adding more steps to documentation, the workflow was redesigned around how clinicians already work.

  • Conversations between doctor and patient became structured clinical notes in real time
  • Documentation was generated during the consultation, not after
  • Clinicians could review and correct outputs immediately
  • Records became consistently structured

Documentation was no longer a separate task. It became part of the natural workflow.

Tech Stack

Google GeminiReactNode.jsPython (AI/ML)PostgreSQLAWSTailwind CSS

Here’s what that looks like during a real consultation.

What documentation looks like during the consultation

Patient information is captured and structured in real time as the conversation happens, reducing manual documentation work.

What changed

For this team, documentation stopped being work that accumulated after the clinical day and became part of the consultation itself.

2+ Hours
More than two hours a day, for one clinical team

This is the result for the clinical team Clara was built with. It is not a generalized figure across doctors or customers.

Key insight

Documentation wasn’t the problem. The workflow was.

Once documentation was aligned with how clinicians already work, time came back — and the clinician stayed in control of what the record said.

Different system. Different constraint.

The constraint is rarely the tooling. It is what the system was optimized for.

When effort goes up and outcomes don't, the constraint is usually somewhere the team isn't looking.

Start with validation. That's where clarity begins.

The same principle applies beyond clinical workflows.

Continue exploring

See how this applies in a different context

Data / Document Intelligence

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