DexCare will embed Mila’s calling, texting, and chat agents into its governed access data model to automate outreach, close care gaps, and coordinate complex specialty workflows across payers and providers.
Mila’s agentic outreach (call, text, chat) will run on DexCare’s access data model that standardizes scheduling and institutional rules across service lines.
In live use, Mila agents report a 54% outbound response rate, cut no-shows by 50%, and lift revenue by 18% versus manual outreach.
DexCare combines governed scheduling logic (260 policies codified at one customer) with configurable, auditable AI agents to handle multi-step patient journeys.
DexCare announced it acquired Mila Health, a company that builds AI-driven agents that call, text, and chat with patients to schedule, prepare, and follow up on visits. DexCare will run Mila's agents on its access data model, a governed representation of scheduling rules, credentialing, referral requirements, and local workflows.
Many scheduling tools handle simple visits but fail when appointments require clinical checks, referrals, or location-specific rules. DexCare's data model centralizes those rules so an agent can make decisions that respect insurance, provider preferences, and clinical prerequisites. Mila supplies the action layer: agents that complete outreach and handle multi-step tasks rather than just prompting a human to act.
Mila's agents achieve a 54% patient response rate on outbound outreach—reported as 80% higher than manual call centers. Customers using Mila see no-show rates fall by about 50% and revenue increase by about 18% during production deployments.
Tampa General Hospital reported that DexCare codified 260 scheduling policies and identified more than 50 gaps. Those results illustrate the gap between point solutions and a governed system that reconciles policies before a conflict reaches a patient.
Mila's founders emphasize governance and traceability: agents operate on approved workflows so each decision can be traced back to configured rules, rather than unpredictable out-of-the-box models. DexCare positions this as an alternative to stitching multiple point tools together and as a way to scale agentic automation while keeping the health system's policies in control.
This is DexCare's second disclosed acquisition. The company spun out of Providence Health in 2021, raised $146 million to date (including a $75 million Series C led by ICONIQ Growth in 2023), and previously bought Womp, Inc. in 2022 to add advanced search and scheduling features. DexCare was ranked No. 1 for patient experience in KLAS's 2025 Emerging Solutions Top 20 report.
Health systems that struggle with complex scheduling and manual care coordination can use this combined approach to automate repetitive outreach at scale, reduce no-shows, and surface scheduling gaps before patients are affected. Payers and provider networks can configure agents to follow local policies and integrate with existing workflows and systems.
DexCare's acquisition of Mila Health pairs a governed, institution-specific scheduling model with agentic automation for outreach and coordination. The move targets the operational work that surrounds appointments—scheduling, eligibility checks, preparation, and follow-up—rather than replacing clinicians. Reported performance metrics point to higher response rates and measurable reductions in no-shows and increased revenue when the agents are in production.
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