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How Bad Are the Financial Challenges for Rural Health
Operating margins for hospitals with 25 beds or fewer declined an average of 19% from January 2025 to January 2026, and by an average of 21.2% for hospitals with 26 to 99 beds, according to Kaufmann Hall’s January National Hospital Flash Report.
Over the same period, total expenses per calendar day rose by an average of 5.6% for hospitals with 25 beds or fewer and by a similar average of 5.4% for hospitals with 26 to 99 beds.
Meanwhile, for both categories of hospitals, net operating revenue per calendar day rose by an average of about only 1%.
What Is Happening to Rural Hospitals?
About one-third of all rural hospitals, more than 700 hospitals, are at risk of closing, according to the Center for Healthcare Quality and Payment Reform (CHQPR).
Rural hospitals in almost every state face possible shutdowns — over 25% are at risk in most states, and in 10 states the share is 50% or higher, according to the CHQPR.
Insufficient reimbursement due to low volume is also forcing some hospitals to discontinue vital but costly service lines, such as obstetrics and chemotherapy services. Eliminating services often has detrimental impacts on a community, causing residents to travel farther to receive care and sometimes putting lives at risk.
What Should Rural CFOs Be Doing?
To protect a hospital’s margin, CFOs should focus on strengthening three areas that provide the grounding for a solid financial foundation: people, processes and technology.
People
Quality staffing is paramount in key areas such as revenue cycle, health information management and health information technology. Appropriate and timely payment of claims, along with managing denials, requires well-trained coders and documentation and denials specialists. Likewise, implementing and maintaining complicated systems and protecting sensitive information and data depend upon a highly qualified and skilled technical staff that can provide the appropriate expertise and guidance to ensure systems are working properly and the organization is fully leveraging the capability of these systems for all stakeholders: patients, caregivers, clinicians and back-office teams.
Processes
Poor workflow and project management can hamper the productivity and performance of even the most qualified staff. Poor execution in these areas can cause costly delays in output and redundancy of work. Roles should be appropriately defined and understood. Work hand-offs should be positioned at appropriate points in the workstream. Information should be getting to the right team members at the right time. Industry leading practices should be identified and followed. Inefficient processes will be reflected in poor outcomes.
Automation and artificial intelligence (AI) can be used to streamline workflows and improve performance. Deployed across the revenue cycle from automated eligibility and benefits checks to denials management and patient collections, these tools reduce manual work, accelerate processes and improve accuracy while enabling staff to focus on higher-value work.
Technology
Organizations increasingly rely on technology for optimizing operational, financial and strategic performance. Leveraging the data that comes through the EHR and other clinical systems, in addition to
financial systems through robust health information analytics, is necessary to address today’s revenue challenges. CFOs can use such tools as predictive analytics for greater accuracy in financial forecasting and better decision-making and to identify trends and high-value opportunities.AI tools can collect and assess vast amounts of revenue cycle data, from admissions and cash collections to reimbursement rates and claim denials, and perform a comprehensive assessment of revenue cycle performance.
These tools can also be used to create more accurate, complete and compliant coding and to educate coding and documentation staff on opportunities for improvement. Patient claims data can be dissected to uncover insights for improvement in revenue capture. AI tools can also delve into fine details, such as individual staff productivity by payor and reasons for high claim denials.Finally, AI tools can provide regular financial key performance indicators to more easily track underperforming areas and, overall, foster a culture of continuous improvement throughout the revenue cycle.
What Metrics Move Your Income Statement?
Not all metrics are created equal. Some are lagging indicators—they tell you what already happened. Others are leading indicators—they predict what is about to hit your income statement. Below we break down the metrics by their financial impact category, organized around the people, process and technology dimensions of the revenue cycle.
Income Statement Impact Metrics | The Critical Tier
| Metric | What It Measures | Target / Benchmark | P/P/T | Financial Impact | Notes |
| Net collection rate | % of net collectible revenue actually collected | ≥96% (CAH benchmark) | Process | Critical | Primary income statement driver |
| Denial rate (initial) | % of claims denied on first submission | ≤5%; CAH avg 8–12% | Process | Critical | Root-cause categorization required |
| Days in AR (net) | Average days to collect a dollar of net revenue | ≤40 days for CAH | Process | Critical | Trailing 90-day average for rural |
| AR >90 days % | Aged AR at highest risk of write-off | ≤15% of gross AR | Process | Critical | Automated escalation triggers |
| Charge capture lag | Days between service and charge entry | ≤1 day for inpatient | People | Critical | Department-level monitoring |
| Clean claim rate | % of claims passing all edits on first scrub | ≥95% | Technology | Critical | Scrubber configuration audit |
| Cost-to-collect | RCM operating cost as % of net revenue collected | ≤3.5% (rural context) | People | Critical | Sequence: process before tech |
| Underpayment recovery | % of identified underpayments successfully appealed | ≥70% of identified variance | Process | Critical | Payor contract load required |
| Medicare cost report accuracy | Variance between interim and final settlement rate | ≤3% variance | People | Critical | CAH-specific; quarterly review |
Cash Infusion & Acceleration Metrics
| Metric | Definition | Target | P/P/T | Cash Impact | Days to Impact |
| POS collection rate | Patient responsibility collected at/before service | ≥60% of estimated liability | People | High | 14–30 days |
| Prior auth approval rate | Authorizations obtained before service | ≥98% | Process | High | 30–60 days |
| Eligibility verification rate | Patients verified prior to/at service | 100% scheduled; ≥90% unscheduled | Technology | High | 30–60 days |
| First-pass resolution rate | Accounts resolved without secondary follow-up | ≥80% | Technology | Medium–High | 30–90 days |
| 340B capture rate | Eligible drugs captured under 340B | ≥95% | Technology | Medium–High | 60–90 days |
| Credit balance resolution | Credit balances resolved within 90 days | ≥95% | Process | Medium | 30–60 days |
| Discharge-to-bill time | Days from inpatient discharge to claim submission | ≤3 days | Process | High | Immediate |
Preserving Margins & Mission
Rural hospitals are under considerable financial pressure. By better understanding the performance of people, processes and technology, CFOs can ensure that revenue cycle and health information technology staff are highly qualified and equipped with the right tools and processes are streamlined and effective. By leveraging such technology as automation and AI, CFOs can utilize data from their systems to make more informed and strategic decisions. For rural hospitals, this means not only strengthening their financial foundations, but also preserving their means of providing vital services for community members.
Ready to See Where Your Revenue Cycle Stands?
JTS Health Partners offers a complimentary diagnostic assessment for rural and critical access hospitals. In 30 days, we identify your top five income statement opportunities and quantify the potential revenue recovery available to your organization—at no cost and no commitment.


