aivid Health and Central Texas FQHC Partner to Advance Population Health Through Chronic Care Management and AI Data-Driven Insights

For Immediate Release

Austin, Texas – Monday, September 22, 2025 — aivid Health, a health tech value-added partner (VAP) based in Austin, today announced a new partnership with a leading Federally Qualified Health Center (FQHC) in Central Texas to deliver comprehensive care management services, beginning October 1 with a limited patient population.

This initiative reflects a shared vision: creating healthy communities by re-envisioning equitable, accessible, and affordable healthcare ecosystems through collaborative partnerships. Together we can create a unified, robust health data strategy, bridge gaps in care, improve patient outcomes, and build a more sustainable healthcare model—one that truly supports individuals and communities in their journey toward better health.

First Phase: Chronic Care Management

The initial rollout will focus on Chronic Care Management (CCM) with services including patient outreach, risk stratification, care coordination, referrals, documentation, chart abstraction, quality assurance, and reporting. Future phases will expand into a full spectrum of programs including:

• Remote Physiologic Monitoring (RPM)
• Advanced Primary Care Management (APCM)
• Principal Care Management (PCM)
• Behavioral Health Integration (BHI) & Collaborative Care Management (CoCM)
• Transitional Care Management (TCM)
• Remote Therapeutic Monitoring (RTM)
• Chronic Pain Management (CPM)
• Medical Nutrition Therapy (MNT)

“From fragmented to frictionless: our mission is to unlock better patient insights with integrated data and AI that support smarter care decisions,” said Hector Torres, CEO of aivid Health. “This partnership is about much more than one program—it’s about setting the stage for sustainable, patient-centered healthcare that thrives in value-based models.”

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Aligning Care Management with Data Insights

As a health data aggregation company, aivid Health integrates clinical, remote monitoring, and SDOH data from web, mobile, and clinical systems to inform a more holistic approach to patient care. Together with the FQHC, we will assess and optimize RPM, CCM, APCM, PCM, BHI, CoCM, TCM, RTM, CPM, and MNT programs to enhance patient engagement and outcomes.

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Enhancing Digital Engagement and Patient Access

• Modernized website + mobile experience to improve patient acquisition, education, and engagement.
• AI-driven personalization to guide patients into care programs that fit their needs.
• Social media analytics to better understand and reach patients, ensuring that engagement strategies align with community priorities.

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Empowering Patients Through Mobile Health & AI

A new mobile health app to support patient self-management, nutrition tracking, and engagement in care programs.

• AI-powered predictive analytics to anticipate patient needs, optimize interventions, and enable proactive care strategies that reduce complexity for providers.

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Future Roadmap: AI-Centric Innovation

Looking ahead, aivid Health will collaboratively build AI-driven SaaS components to further empower providers and patients:

• AI Copilots to augment complex workflows, reduce administrative burden, and empower employees.
• Care Gap Review: continuous AI analysis of care patterns, HEDIS measures, and ROI to identify and close care gaps with precision.
• Medical Record Review: automated chart abstraction and harmonization of unstructured EMR, lab, and clinical note data into structured, searchable insights.
• Care Management Enhancements: advanced data aggregation for real-time case summaries, plus A/B testing of engagement strategies to refine protocols and improve patient care.

These innovations will not only support the FQHC’s mission but also provide a strategic growth roadmap—unlocking better insights with integrated data and AI to deliver enhanced patient outcomes at scale.

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Building a 360-Degree View of the Patient

Healthcare data is notoriously fragmented, with the majority of patient information existing in unstructured formats across providers, payers, and even pharmaceutical partners. aivid Health may seek to leverage the Databricks Lakehouse, an open platform supporting all data types, to enable a 360-degree view of patient health.

• 360-Degree Patient View: unified ingestion and curation of health data into the Lakehouse for a complete patient profile.
• Population-Level Insights: scaling analytics for initiatives such as chronic disease prevention and health equity.
• Real-Time Operations: analysis on streaming data to enable timely interventions—care delivered when it’s needed, not after the fact.
• Predictive Health: using AI and ML to shift healthcare from descriptive to predictive, accelerating drug discovery, care optimization, and personalized interventions.

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About aivid Health

aivid Health is a Health Data Aggregator and Tech Value-Added Partner (VAP) based in Austin, Texas, committed to reimagining healthcare through innovation, collaboration, and the intelligent use of data. Our mission is to foster sustainable, healthy communities by transforming how care is delivered—breaking down silos and creating continuous feedback loops between patients, clinicians, and caregivers.

We believe the real magic happens at the intersection of the human touch and the digital touch. Technology should enhance—not replace—the relationships that drive healing.

We work alongside primary care providers and FQHCs, unifying fragmented data across episodic care, remote monitoring, and social determinants of health. Our AI-powered platform ingests structured and unstructured data from wearables, mobile apps, digital touchpoints, and clinical systems, turning it into actionable insights that fuel proactive, personalized care.

By bridging the gap between insight and action, aivid Health helps clinics scale value-based care models—without drowning in complexity. We exist to challenge and disrupt without distraction, exploring the adjacent possible to make healthcare more connected, equitable, and affordable for all.