Behavioral Health Informatics Consulting

Who this is for

Research groups, digital health organizations, clinical programs, and technical teams that need psychiatric and behavioral health context translated into usable data, analysis, or evaluation workflows.

Problems Keystone helps solve

• Turning narrative, longitudinal, and multimodal behavioral health information into analyzable structures.
• Designing data workflows that respect clinical meaning, governance constraints, and research aims.
• Connecting product or research questions to feasible analytic plans.
• Avoiding technically neat systems that lose the psychiatric context needed for interpretation.

Example questions clients bring

• What data should we capture for this behavioral health question?
• How should symptoms, outcomes, treatment context, and longitudinal change be represented?
• Which analytic workflow fits the project stage and evidence standard?
• How can clinical and technical teams share a common data model?

Methods and capabilities

• Research data model review.
• Outcome and feature definition.
• Workflow mapping across clinical, research, and technical stakeholders.
• Data quality, missingness, and interpretability review.

Typical deliverables

• Informatics strategy memo.
• Data dictionary or feature specification.
• Research workflow map.
• Analysis-readiness review.
• Collaboration brief for clinical and technical teams.

Relevant research foundation

This work is grounded in psychiatry, behavioral health data interpretation, reproducible analysis, neuroinformatics, and practical translational research workflows.

What Keystone does not do

Keystone does not sell an electronic health record, provide managed clinical operations, or make unsupported claims from incomplete or poorly governed data.