Step 1 Synthesizing Qualitative Insights with Quantitative Data

Kairon Insights collects qualitative data from flexible sources: meeting transcripts, survey responses, public information available online, and more.

Natural Language Processing (NLP) technology integrates this alongside quantitative performance data – highlighting themes and root causes of issues.

Step 2 Summarizing at Multiple Levels

Practice by practice: any team member can access a practice’s profile for a quick, comprehensive understanding of its context, attitudes, and operational blockers.

Across markets & contracts: the system aggregates top themes, surfacing the most wide-spread and impactful problems.

Step 3 Automating Tailored, Actionable Recommendations

Kairon Engage  enhances practice discussions by generating focused meeting agendas, key talking points, and detailed follow-up questions – then automating note summaries and action items.

AI-powered recommendations draw from an extensive best practices library, tailoring to individual practice profiles.

Step 4 Facilitating Forward Momentum

Kairon Manage tracks field team efforts, assessing engagement with practices and ensuring resources are invested where needed.

Example: REACH ACO Optimizing AWV Workflows

• During meetings, Practice A’s office manager mentions “^{persistent staffing shortages},” and Practice B’s provider states they are “^{at full capacity for appointments}” – both picked up by Kairon.
• ACO leadership gains real-time insight into impact, seeing that these blockers affect 30% of practices and 42% of total attributed beneficiaries.
• Kairon delivers tailored recommendations – ^{workflow automation} for Practice A and ^{scheduling solutions} for Practice B – based on their distinct profiles, ^{to drive Annual Wellness Visit rates}.

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