Becker's Healthcare Webinar
Rural Health Transformation Program
Across all 50 States RHTP implementation plans, the same three problems surface: workforce burned out on paperwork, data that doesn't travel with patients, and telehealth visits that defer diagnosis because the chart hasn't arrived. Predoc is the infrastructure that fixes all three, and it maps directly onto the CMS permitted-use categories states are already spending against.
A $50B program. A 5-year window. One missing layer.
The rural data problem
Three structural problems undermine every downstream initiative, from RHT planning to AI-assisted care.
The curated data layer
Seven source types (including the fax-based, direct-outreach, and non-connected facility flows that define rural ingestion) converge into one queryable longitudinal record.
The Predoc Data Layer works with the rest of your stack
Four capabilities make the layer possible
CMS RHTP fit
The Rural Health Transformation Program targets five outcomes: Make Rural America Healthy Again, Sustainable Access, Workforce Development, Innovative Care, and Tech Innovation. Predoc maps directly to three of them.
Predoc is core technology infrastructure for the program: a curated medical-record data layer underneath every AI and analytics initiative.
Primary fit
Telehealth enablement
Virtual specialty clinics depend on the specialist seeing the full record before the visit begins. The curated data layer brings rural providers into connected, modern data and telehealth systems, so telehealth, remote monitoring, and virtual consults run on the same evidence base as an in-person visit.
Every funded innovation benefits from the same curated longitudinal record, so funding allocated to Predoc compounds across every downstream tool rather than each vendor rebuilding rural-health ingestion from scratch.
Predoc's role
Tech Innovation directly funds, in CMS's own framing, "improving data sharing" and "investing in emerging technologies." This is the wedge Predoc fills. The Curated Data Layer modernizes health IT infrastructure by unifying patient data across HIEs, EHRs, fax-based provisions, and non-connected facilities into a clean, structured record. Lab results, medications, imaging, provider notes, and discharge summaries all flow through the same ingestion pipeline.
Shared data infrastructure across rural facilities reduces duplicated investment and keeps services viable as facilities consolidate or partner.
Secondary fit
Predoc's role
Rural facility consolidation is a one-way trend. Solo practices close, regional hospitals absorb their patients, telehealth fills gaps. Each transition fragments records further.
A shared data layer maintains patient continuity through those transitions. When a closing rural clinic transfers patients to a regional hospital, the new provider's first encounter starts with the full record, not a paper binder. Infrastructure decoupled from facility-level volatility is what makes "sustainable" sustainable.
Virtual specialty clinics, telehealth-enabled chronic care, and AI-assisted screening all share the same dependency: a complete, unified patient record. Predoc is that dependency.
Tertiary fit
Predoc's role
Innovative Care funds new care models that move services closer to patients. Virtual specialty clinics, telehealth-enabled chronic disease management, and remote monitoring all depend on a clean, unified patient record. Without that shared record, each new care model rebuilds its own ingestion layer, and the patient experience fragments across the very services meant to integrate it.
The curated data layer is the precondition that makes specialty care at distance clinically real, not just logistically possible.
Authoring an RHT plan or vendor strategy. Plug-and-play with the telehealth and remote-monitoring platforms your RHT plan already specifies.
States with stronger underlying data infrastructure will deliver more measurable RHT outcomes, and a clearer audit story when CMS reviews outcomes against the program's five pillars.
Predoc gives state teams a curated, vendor-neutral medical-record data layer that every downstream initiative (population analysis, workforce routing, AI-assisted care, risk adjustment) can build on.
Integrating a curated data layer under your product. Curated records integrate cleanly into the telehealth platforms, EHRs, and analytics pipelines you are standing up, no bespoke parsing layer required.
If you're shipping an AI clinical product, a value-based care platform, or a population analytics tool into rural markets, the bottleneck isn't your model. It's rural EHR integration and the underlying medical-record data.
Predoc plugs in underneath. We handle HIE, EHR, pharmacy, imaging, direct provider outreach, fax, and non-connected facility ingestion; you get a curated, longitudinal record back through a single API.
Operating a rural facility or health system. Specialists consulting remotely on your patients see the full record before the visit. Virtual specialty clinics actually work, not just exist.
Rural facilities don't lack data. They lack a usable, longitudinal record across the mix of HIE-connected and non-connected providers your patients move through.
Predoc returns a curated record to your EHR, regardless of how fragmented the upstream source mix looks. Same architecture we run for specialty practices managing similar source-mix patterns at scale.
The same source mix that defines rural ingestion (Non-Connected Facilities, Fax-Based Providers) is what the architecture already handles end-to-end at a major specialty practice.

Care Provider
The Oncology Institute Saves ~$2M Annually with Predoc
~$2M
Annual Savings
75%
Faster Record Retrieval
90%+
Record Retrieval Rate
I've never seen anything that matches the quality of Predoc. One of the cofounders comes from the medical field; they really understand what we're up against.
— Kiran Annavarapu, Regional President, The Oncology Institute
Read the full case study →Predoc partners with state teams, technology integrators, and rural health systems to build the curated data layer underneath every RHT initiative.