Better Systems.Better Outcomes.

Data Systems & Workflow Solutions

For organizations looking to improve existing data systems, workflows, and operational performance. The work begins with understanding how existing systems fit together and where change would make a meaningful difference.

• Map clinical and operational workflows, cross-system data flows, requirements, handoffs, and gaps
• Assess existing platforms, off-the-shelf options, and where a focused custom solution would add value
• Support vendor evaluation and implementation through requirements clarification, capability validation, dependency coordination, and workflow testing
• Design repeatable data integration, validation, reconciliation, reporting, and decision-support workflows
• Build targeted tools and automations when existing technology cannot adequately support the work

Managed Reporting — Optional. DOMAS can operate an agreed recurring workflow including processing, validation, QA review, and delivery of predefined outputs.

Embedded Data Workforce Capacity Building — Optional. A designated team member can participate hands-on during appropriate stages of the engagement.

Technical Planning & Implementation Support

For teams developing grant proposals, launching health-focused ventures, or introducing new programs and initiatives. DOMAS provides methodological and technical expertise from early assessment through implementation. Feasibility and implementation services can be engaged independently.

• Develop credible methodologies, data approaches, reporting plans, and supporting technical plans for grant proposals or startup initiatives
• Assess feasibility and compare existing platforms, vendors, integration options, and focused custom development
• Validate technical requirements and support implementation, testing, knowledge transfer, and sustainment

UDS Clinical Action Areas Briefs

UDS Clinical Action Areas Briefs translate UDS measure values into clear action categories, rankings, and data check prompts to help Community Health Centers and look-alikes identify where follow-up may be needed.

• Where should we focus first?
• Are action areas concentrated at specific sites or showing up across the organization?
• Which measures may need review, monitoring, sustainment, or data validation?