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Informatics for research that must operate in practice

Design research and grant infrastructure that can actually function.

Strong research questions can still fail when recruitment, workflows, data sources, governance, measurement, implementation context, or feedback mechanisms are not operationally aligned. J Butler MD Consulting helps investigators and community partners turn a proposed informatics or learning-health-system concept into a defensible and workable program.

The challenge

Research and grant teams frequently define aims before fully resolving who will collect the data, how systems will connect, what governance applies, how participants or clinicians will engage, how quality will be monitored, or how findings will return to the organizations and communities doing the work.

What the engagement provides

Research-to-operations translation

Connect aims, methods, clinical workflows, community context, data sources, staffing, and implementation responsibilities.

Data and learning-system architecture

Design governed data flows, dictionaries, quality controls, analytic feedback loops, dashboards, and continuous-improvement routines.

Grant informatics leadership

Develop or strengthen informatics sections, implementation plans, data-management and sharing approaches, budgets, timelines, deliverables, and partner responsibilities.

Feasibility and review

Apply an implementation-focused lens to research rigor, workflow fit, infrastructure, recruitment, measurement, governance, and sustainability.

Representative deliverables

  • Informatics and data-infrastructure narrative
  • Learning health system operating model
  • Data-flow and system-context diagrams
  • Data dictionary and quality-management plan
  • Data Management and Sharing Plan support
  • Governance, stewardship, and access framework
  • Recruitment and implementation workflow
  • Evaluation and continuous-improvement plan
  • Timeline, work breakdown, staffing, and budget inputs
  • Dashboard and return-of-findings roadmap
  • Investigator or partner decision brief

Best fit

  • NIH, HRSA, foundation, and other grant-funded teams
  • Learning health system initiatives
  • Implementation science and mixed-methods studies
  • Community-engaged and rural research
  • Tribal-governed research infrastructure
  • Programs combining clinical, community, geospatial, survey, and public-health data
  • Teams needing an informatics lead or critical reviewer

Engagement formats

  • Grant Informatics Lead
  • Co-investigator or technical lead where formally appropriate
  • Pre-submission architecture and feasibility review
  • Data-management and governance workstream
  • Implementation and continuous-learning advisory
  • Scientific or technical review session

Scope boundary

This service complements—but does not replace—the responsibilities of the designated principal investigator, institutional research office, statistician, privacy officer, IRB, Tribal authority, or legal counsel.

Related services

Connect the aims, data, workflow, governance, and implementation plan before submission—or before they become barriers.

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