DexCare Acquires Mila Health to Expand AI Care Coordination
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DexCare Acquires Mila Health to Expand AI Care Coordination

Governed access data meets agentic AI for complete multi-step patient journeys

9/21/2026
Ali Abounasr El Alaoui
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DexCare, Inc. announced on September 21, 2026 that it has acquired Mila Health, an artificial intelligence care coordination company. The acquisition extends DexCare's capabilities from scheduling to broader care coordination by pairing agentic AI with governed data. The combined platform will help close care gaps, coordinate complex cases, and complete multi-step patient journeys.


Strategic Acquisition Combines Data and AI Agents

Mila Health develops AI agents that call, text, and chat with patients to schedule appointments, prepare them for visits, and confirm follow-through. These agents operate using DexCare's access data model, which has been proven across more than 10 million bookings. The model standardizes scheduling data and institutional knowledge into a single rulebook that health systems control.

Leadership Perspectives on the Acquisition

Matt Blosl, CEO of DexCare, said Mila gives the company's data a voice while the data gives Mila direction. He noted that health systems often struggle to build infrastructure, scale pilots, and manage the boundaries of AI agents. Most agents lack contextual awareness, but DexCare's technology understands the health system it represents, Blosl added.

Dr. Peter Chang, senior vice president and chief transformation officer at Tampa General Hospital, explained that simple scheduling tools struggle when clinical requirements become complex. DexCare codified 260 scheduling policies and uncovered more than 50 gaps at his organization. Combining scheduling and clinical logic in a single system enables accurate coordination of complex specialty care across an enterprise, he said.

Operational Performance and Early Results

Mila works with payers, providers, and software systems. In production, its agents achieve a 54 percent patient response rate during outbound outreach, which is 80 percent higher than manual call centers. Mila agents also reduce no-show rates by 50 percent and increase revenue by 18 percent, according to DexCare.

Shailu Verma, co-founder and CEO of Mila Health, said healthcare cannot rely on out-of-the-box large language models because they are unpredictable and cannot be audited. With DexCare, organizations can configure an AI agent to complete tasks they cannot staff for and trace how each step was decided. The system solves more and escalates less, allowing leaders to assign people to work that requires human attention.

Technology Integration and Company Background

Mila is designed as an API-first system that can be configured, governed, and embedded into existing workflows. Its platform transforms manual coordination work into completed action within payer, provider, and health technology systems. This allows health systems to launch AI agents in hours rather than months of development.

The deal is DexCare's second acquisition, and financial terms were not disclosed. DexCare spun out of Providence Health in 2021 and has raised $146 million to date, including a $75 million Series C round led by ICONIQ Growth in 2023. In 2022, the company acquired Womp, Inc. to bring consumer-grade search and scheduling to healthcare.

Market Position and Industry Recognition

DexCare ranked first for patient experience in KLAS's 2025 Emerging Solutions Top 20 report. The company serves 57 million patients across 50 states, with customers including Kaiser Permanente, Piedmont, Texas Health Resources, and Tampa General. Customers book 40 percent more appointments with existing resources and cut time to care by five days.


By acquiring Mila Health, DexCare is positioning itself as a system of record for patient access and navigation. The combined platform moves beyond isolated scheduling tools to support complete patient journeys with governed, traceable AI agents. As health systems face staffing constraints and growing demand, the acquisition underscores a broader shift toward intelligent automation in care coordination.