ServicesHealthcare

Useful assistance. Clear responsibility.

Healthcare AI engineering for knowledge retrieval, hospital operations, and medical education, informed by Paul Waweru's work on Naya and Medyfy.

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Build around the healthcare workflow

Healthcare teams need tools that fit their responsibilities, information sources, and operating context. My work as Lead Software Engineer at Zeon Inc. included Naya's hospital-assistant engineering and Medyfy's medical education platform.

Where I can contribute

  • Hospital operational workflow assistance.
  • Knowledge retrieval with inspectable sources.
  • Medical education and assessment applications.
  • Backend services and application architecture.
  • Agent workflows with defined review and escalation boundaries.

Establish the boundaries before building

We identify the intended user, task, information sources, and responsibility for reviewing outputs. We also identify what the proposed software is not authorized to decide. Evaluation needs to address retrieval, workflow behavior, access, and missing-evidence handling.

Any clinical use requires its own appropriate professional review, evidence, and deployment requirements. This portfolio does not claim autonomous diagnostic capability, patient outcome improvements, or regulatory certification.

Relevant work

Naya contributes hospital-assistant and agent engineering experience. Medyfy contributes medical education product experience. Their profiles state the documented role and scope without publishing confidential institutional data.

Common questions

Can you integrate with our existing systems?

Discovery establishes available interfaces and permitted access before an implementation commitment.

Can an assistant make clinical decisions?

That is not an assumed capability of this service. Intended use, responsibility, oversight, and evidence must be established for the specific project.

Can we start with operational support?

Yes. A bounded operational or knowledge-retrieval workflow can be a useful starting point.

Your next useful system

What could work
better?

Bring the business problem.
We’ll figure out the right next move.

Discuss a project