Before rural providers buy new tools, they should audit the EHR they already have
Existing tools, registries and evidence-based workflows may already provide much of the operating foundation rural transformation requires.
The Rural Health Transformation Program has moved from planning into implementation. CMS has committed $50 billion over five years, all 50 states received first-year awards, and states are now translating broad federal goals into grants, regional initiatives and operating requirements. That creates an understandable sense of urgency for rural healthcare leaders deciding where to invest limited capital, staff time and executive attention.
It also creates a predictable risk. Whenever substantial funding enters healthcare, vendors arrive with products, services and promises that may be useful but can also add cost, interfaces and workflow complexity before an organization has fully understood what it already owns. As the first article in this series argued, rural leaders should first understand their state's priorities, regional structure and measures; the next step is to determine how much of that work can be supported with existing infrastructure.
For many organizations, part of the answer is already inside the electronic health record. The EHR is not a transformation strategy by itself, and it cannot determine community priorities, build trusted partnerships or redesign care without human leadership. But a well-configured system can provide much of the operating infrastructure needed to identify populations, standardize evidence-based workflows, coordinate follow-up and measure whether an intervention is working.
That is why rural leaders should examine the EHR they already have before assuming that every new initiative requires another platform. The goal is not to avoid new technology when a real gap exists; it is to make that purchasing decision after understanding current capabilities, rather than before.
Start with the community, not the technology
The first step should not be an EHR feature inventory. It should be a clear understanding of the population the organization serves and the health needs the community has already identified, because technology choices are more useful when they follow a defined clinical or operational problem rather than lead it.
For tax-exempt hospitals, the Community Health Needs Assessment offers a useful starting point. Federal tax law requires applicable charitable hospitals to complete a CHNA at least once every three years and adopt an implementation strategy addressing identified needs. Too often, that document is treated primarily as a compliance obligation when it can also function as a practical inventory of community priorities and existing relationships.
A strong CHNA can surface chronic disease burden, behavioral health needs, substance use, maternal health concerns, food insecurity, transportation barriers and other local conditions. It also identifies many of the organizations already contributing to community health, including public health departments, behavioral health providers, emergency medical services, schools, food banks, shelters and faith-based organizations.
That information gives leaders a better set of questions than simply asking what a new product can do. Which local problems align with the state's Rural Health Transformation priorities? Which organizations already have trusted relationships with the affected population? What clinical and operational information is already being captured, and can that information support a measurable intervention? Rural leaders are rarely starting with a blank page; their communities have already told them a great deal about what they need.
Translate the goal into a care pathway
Once an organization selects a priority, the next task is to define how the work will actually occur. Consider suicide prevention: the Zero Suicide framework describes a pathway that includes identifying people at risk, engaging them in care, providing evidence-based treatment, managing transitions and continuously improving the system.
Selecting an evidence-based framework is the easier part. The operational work begins when a patient screens positive on a Tuesday afternoon: someone must know who responds, what additional assessment is required, where the result is documented, how a collaborative safety plan is created, how a warm handoff occurs and who confirms that follow-up was completed.
The Zero Suicide Toolkit specifically describes embedding the pathway in the EHR, documenting risk and safety plans, flagging patients who need additional support and making care-team information available to appropriate providers. Those recommendations illustrate a broader point: an EHR becomes useful to transformation when its individual functions are connected into a repeatable workflow, not when they merely exist on a feature list.
Many mature EHR platforms can already support screening instruments, documentation templates, alerts, referral workflows, patient lists and follow-up tasks, although the exact capabilities vary by product and configuration. The same operating logic applies to chronic disease, addiction treatment, maternal care and other rural priorities: begin with the evidence-based model, define each operational step and then determine how existing technology can make those steps reliable.
Use registries to turn stored data into action
Rural providers have spent years capturing clinical information electronically, and the Rural Health Transformation Program creates an opportunity to use that information more intentionally. A registry has little value if it simply creates another list; it becomes operationally useful when it helps a care team identify who needs attention, what has not happened and what should happen next.
The federal Health IT Playbook describes patient registries as tools for monitoring defined populations and measuring quality of care. In practice, a diabetes program might use a registry to identify patients with poor glycemic control, find overdue visits and track whether recommended interventions occurred, while an addiction-treatment program might use the same basic concept to identify gaps in follow-up and coordinate services across a defined population.
Registry-style worklists can also support administrative events that affect continuity. Medicaid and CHIP beneficiaries generally undergo periodic eligibility renewals, and where organizations have the necessary information and authority, a worklist can help identify patients who may be approaching a renewal deadline so staff can provide permissible navigation or outreach. None of this necessarily requires a sophisticated new platform; it requires disciplined use of information the provider may already possess.
Design backward from the measures
Every funded initiative should be designed with measurement in mind from the beginning. CMS requires states to report quarterly and annually on progress, milestones and measurable outcomes, and its current reporting framework uses initiative-level checkpoints, metrics and supporting evidence to assess implementation. That means local organizations should expect measurement requirements to influence how state programs are monitored and how future funding decisions are made.
The practical implication is straightforward: do not build the program first and ask how to measure it later. Leaders should identify what the state expects to see, determine which data elements are required and make sure the workflow captures those elements consistently enough to support both care improvement and reporting.
Illinois provides a useful example. Its RHT application includes measures such as follow-up after emergency-department visits for mental illness or substance use, depression screening and follow-up, hemoglobin A1c control, blood-pressure control and timely follow-up after acute exacerbations of chronic conditions. For its depression-screening measure, Illinois identifies participating clinic electronic medical records as the anticipated data source, illustrating how closely program design can connect to the information already captured in clinical systems.
That level of specificity changes the technology conversation. If a program expects better blood-pressure control, the organization must know whether readings are captured consistently and whether the relevant population can be identified; if follow-up after an emergency visit is a measure, someone needs a reliable way to receive the event information, assign the follow-up and document completion.
Electronic clinical quality measures are built around that same principle. The Office of the National Coordinator notes that eCQMs use structured electronic data from EHRs and other health IT systems, and properly implemented systems can support measurement and quality improvement. The important phrase is properly implemented: owning a function is not the same as having clean data, a reliable workflow or a usable report.
Ask what the current EHR can already do
Before purchasing another solution, rural leaders should bring clinical, operational and IT teams together with their EHR partner for a focused inventory. This should not be a product demonstration or a sales conversation; it should be a working session built around the state's priorities, the organization's chosen intervention and the measures it will be expected to produce.
The discussion should establish which registries, care-management tools and decision-support capabilities are already available; which evidence-based workflows can be configured in the current platform; what functionality has been licensed but never fully deployed; whether the system can capture required measures; and which interfaces or external data sources remain necessary. It should also identify existing reports and dashboards, determine where new reporting work is needed and clarify what training or workflow redesign would be required for staff to use the available capabilities effectively.
There will be legitimate gaps, and no EHR can meet every clinical, community or reporting requirement by itself. A new tool, interface or service may ultimately be the right answer, but that conclusion is stronger when it follows a disciplined assessment of the current environment instead of beginning with an assumption that transformation requires another purchase.
Build from what can last
Rural Health Transformation funding should help organizations create capabilities that remain useful after a particular grant or funding cycle ends. That makes sustainability a technology question as well as a financial one, because every new product can introduce another interface, another workflow, another training requirement and another system that the organization must eventually support.
A more durable approach begins with the community's documented needs, connects those needs to the state's plan, selects an evidence-based intervention, defines the care pathway, identifies the required measures and then determines how existing EHR capabilities can support the work. New technology should enter that sequence where it closes a demonstrated gap, not simply because new funding has made another purchase possible.
Rural providers have already made substantial investments in electronic health records and the people who use them. The opportunity now is to turn more of that investment into practical operating infrastructure for transformation, while reserving scarce funding for the capabilities, partnerships and workforce that truly are missing.
Before buying the next tool, leaders should understand the one they already have and where it genuinely falls short. That discipline will not eliminate the need for new technology, but it can help ensure that new spending adds capability instead of simply adding complexity.
Janet Desroche is associate vice president at MEDITECH, an electronic health record software company.