Identity and data quality
Clinical systems fail when records point to the wrong person or mix unlike facts. Daizie resolves the intended business before counting a mention or claim.
Marty Koepke has more than 15 years of experience in clinical informatics and enterprise digital health transformation. Her work has centered on a practical question: how do you turn a complicated system into decisions and workflows that people can understand, trust, and use?
Since 2010, she has worked across electronic health record implementation, clinical application leadership, enterprise governance, workflow standardization, telehealth, interoperability, automation, and AI-enabled clinical documentation. She has led cross-functional work spanning thousands of ambulatory sites and tens of thousands of clinicians.
Daizie applies that same discipline to AI visibility for small businesses. It separates identity from mention, observation from evidence, and measurement from advice. The result is designed for an owner who needs a clear diagnosis and a practical next move—not another marketing dashboard to interpret.
Relevant experience
Why an informaticist built Daizie
Governed measurement
Enterprise informatics requires defined standards, documented decisions, and repeatable processes. Daizie's questions, scoring rules, and limitations are versioned and disclosed.
Workflow design
A finding is useful only when someone can act on it. Daizie turns observed gaps into plain-language next moves without publishing or changing a customer's systems.
AI in real operations
Marty has worked with AI-enabled documentation and workflow automation in complex operating environments, with attention to quality assurance, adoption, and measurable outcomes.
Education and credentials
- Master's degree in Healthcare Administration
- Lean Six Sigma Black Belt
- Certified SAFe 6.0 Agilist
- Scrum Master
- Epic Clinical Informaticist
Experience and credentials are summarized from Marty Koepke's current professional résumé. Employer-specific results are not presented as Daizie product results.