Build the program. Hire the paramedics. Launch the outreach team. Show up.
That work still matters. But it is no longer enough.
Across the country, Mobile Integrated Healthcare, community paramedicine, and other community-based care models are moving into a new phase. Rural Health Transformation Programs are raising expectations, and the question is no longer just whether rural communities can deliver care.
The question now is whether they can prove the care is working.
For many rural healthcare organizations, that shift is revealing a difficult gap. They are doing meaningful work every day, but they often lack the infrastructure to show the full impact of that work across agencies, systems, and time.
That is the Proof Problem.
According to new research from Julota, commissioned through independent research firm TrendCandy and based on insights from 290 rural healthcare leaders, this may be one of the defining challenges of the next decade in rural health.
From Launch to Legitimacy
The first wave of rural transformation was about trying new things.
Federal demonstration grants, state innovation funds, and philanthropic dollars gave communities room to test new models. Community paramedicine. Cross-agency care coordination. Mobile behavioral health outreach. Programs designed to meet people where they are, instead of waiting for them to show up in crisis.
In many communities, those efforts worked.
Emergency department use dropped. High-risk patients were stabilized at home. People who had been disconnected from care found a path into services. EMS, hospitals, behavioral health providers, and social service organizations began working together in ways that were previously impossible.
But pilot money does not last forever.
As these programs move from grant-funded experiments to permanent operating models, the standard changes. It is no longer enough to say, “We know this is working because we see it every day.”
Funders, payers, policymakers, and healthcare partners want something more concrete.
Can you prove it works consistently? Can you show the outcomes? Can you connect the dots across all the agencies involved?
The Julota survey found that 90 percent of rural healthcare leaders believe Rural Health Transformation Programs will significantly raise the bar for demonstrating measurable impact. That is not a fringe concern. It is a near-universal signal from the people closest to the work that accountability expectations are changing.
The Hardest Part Is Not Always the Care
One of the most telling findings from the research is this: 61 percent of rural healthcare leaders say proving cross-agency impact is harder than delivering the services themselves.
In other words, for many leaders, the documentation is harder than the work.
That is not because rural healthcare teams lack effort, commitment, or creativity. It is because the structure they are working inside was not built for shared accountability.
Rural transformation depends on multiple organizations moving together: EMS agencies, hospitals, behavioral health providers, public health departments, housing partners, substance use treatment providers, and social service organizations.
Each partner may be doing its part. But each one also has its own data system, reporting process, language, and definition of success.
That creates hard questions.
When a community paramedic helps stabilize a patient at home and connects them to behavioral health support, who gets credit for the outcome?
When an EMS crew makes a referral to a substance use treatment program, how does the original agency know whether the person ever received care?
When a cross-agency effort prevents three hospital admissions in a month, how does anyone calculate the savings and tie them back to the intervention?
Too often, the answer is simple and frustrating: no one really knows.
Not because the work did not happen. Not because the outcome did not matter. But because the infrastructure to follow the patient journey across organizational boundaries was never put in place.
The Funding Trap
This data gap creates more than a reporting problem. It threatens the long-term survival of the programs themselves.
Rural programs are being asked to prove their value to unlock reimbursement, shared savings, and long-term investment. The Julota research found that leaders are trying to build sustainability through a patchwork of sources, including hospital shared-savings arrangements, EMS billing pathways, Medicaid reimbursement expansion, value-based contracts, and employer partnerships.
Each of those funding paths depends on credible outcome data.
Hospitals need to see reductions in avoidable admissions before they share savings. Medicaid programs need standardized reporting before expanding reimbursement. Value-based payers need longitudinal outcomes data before entering into contracts.
That creates a circular problem.
Programs need rural health transformation data infrastructure to prove their impact. But they often need proof of impact to secure the funding required to build that infrastructure in the first place.
The stakes are enormous.
The research points to potential savings of $6.4 billion per year from avoided hospitalizations, $1.3 billion per year from reduced arrests and jail stays, and $1.2 billion per year from reduced EMS utilization.
Those savings are not abstract. They represent real people staying out of crisis, real communities using resources more effectively, and real programs creating value that is often difficult to capture.
But without the ability to measure and attribute those outcomes, much of that value remains invisible.
A Workforce Already Stretched Thin
The Proof Problem is exacerbated by a workforce crisis that leaves rural organizations with little room to compensate for missing infrastructure manually.
Nearly 89 percent of rural healthcare leaders say provider shortages constrain how they design and scale transformation programs. That does not just mean they have open positions. It means the workforce shortage is actively shaping what these programs can become.
Many leaders are not building the ideal service model. They are building a model that they can realistically staff.
The hardest roles to recruit are community paramedics, care coordinators, behavioral health clinicians, and primary care providers. These are also the roles most responsible for coordination, follow-up, relationship building, and outcome tracking.
When those positions turn over, the damage goes beyond the vacancy.
Patient relationships are interrupted. Referral pathways become less reliable. Institutional knowledge leaves with the person who held it. And when that knowledge lives in inboxes, spreadsheets, phone calls, or memory, the disruption is even greater.
The breakdown points are especially concerning.
According to the research, 62 percent of leaders cite specialty care as a major point of failure in referral coordination. Another 52 percent cite substance use treatment, and 48 percent cite behavioral health.
These are some of the services rural patients need most. They are also the services most likely to fall through the cracks when coordination relies on phone calls, faxes, and manual follow-up rather than closed-loop tracking.
Rural Health Transformation Data Infrastructure Is the Real Gap
The report is clear about what separates programs that can prove their impact from those that cannot: lasting rural health transformation infrastructure.
Nearly half of survey respondents said investing in shared data infrastructure is the fastest path toward long-term sustainability.
That finding makes sense.
When organizations operate on disconnected systems, every outcome becomes harder to see. Hospital EHRs, EMS reporting tools, behavioral health platforms, and social service databases may all contain part of the story. But no single system shows the whole picture.
That leaves leadership teams trying to piece together program performance by hand.
They chase partner reports. They reconcile spreadsheets. They compare mismatched data fields. They try to build a complete picture from fragments.
That process is not just inefficient. It is unreliable.
And funders are becoming less willing to accept unreliable proof.
The path forward is not simply “more data.” Rural healthcare teams already have plenty of data. The issue is whether that data can move across the right partners, support frontline workflows, and produce evidence that leaders can use.
The research points to five interconnected needs for rural health transformation data infrastructure: shared care coordination frameworks, closed-loop referral tracking, standardized outcome measurement, clear governance for data sharing, and technology that supports the work without adding administrative burden.
That last point matters.
If the solution creates more work for already-stretched frontline teams, it is not really a solution.
Proving It Requires Rural Health Transformation Data Infrastructure
The rural health programs that last over the next decade may not be the ones with the flashiest models or the biggest launch announcements.
They will be the ones who can show their work.
Across agencies. Across time. Across the full complexity of what it means to care for rural communities.
The Proof Problem is not a technical nuisance. It is a sustainability problem. It is a funding problem. It is a workforce problem. And for many communities, it is a safety-net problem.
Delivering services still matters. It always will.
But the next era of rural transformation will belong to the programs that can prove what those services have changed.
Data cited in this article is drawn from the Julota-commissioned survey report, “The Proof Problem: Why Rural Healthcare Transformation Will Rise or Fall on Data Infrastructure,” based on a national survey of 290 rural healthcare leaders conducted by TrendCandy, with a ±5 percent margin of error at the 95 percent confidence level.
