Step 1 Synthesize Qualitative and Quantitative Data

Practice Intelligence collects qualitative data from flexible sources — meeting transcripts, survey responses, public information — and integrates it alongside quantitative performance metrics. NLP extracts themes and root causes automatically, so your team doesn't spend hours reading notes.

Step 2 Surface Patterns at Every Level

Practice by practice: any team member pulls up a profile and sees context, attitudes, and operational blockers in seconds.

Across markets and contracts: the system aggregates the top themes — showing, for example, that staffing shortages affect 30% of practices and 42% of attributed beneficiaries.

Step 3 Generate Tailored Action Plans

Practice Intelligence builds focused meeting agendas with key talking points and follow-up questions, then summarizes notes and action items after each session. AI-powered recommendations draw from a best-practices library, tailored to each practice's profile.

Step 4 Track Execution and Engagement

Impact Analytics tracks field team efforts — visit frequency, follow-through on action items, and practice engagement scores — ensuring resources go where they'll move the needle.

Example: REACH ACO Optimizing AWV Workflows

• During meetings, Practice A's office manager mentions "persistent staffing shortages" and Practice B's provider says they are "at full capacity" — both captured by Practice Intelligence.
• ACO leadership sees in real time that these blockers affect 30% of practices and 42% of total attributed beneficiaries.
• Each practice gets a different recommendation: workflow automation for Practice A, scheduling solutions for Practice B — based on their distinct operational profiles.