President and Chief Growth Officer
Why revenue cycle performance depends on what happens between teams, systems, and partners.
Healthcare organizations have spent years strengthening the revenue cycle one link at a time with each function having its own people, technology, processes, and performance measures.
Eligibility verifies coverage.
Authorization secures approval.
Coding translates the clinical record.
Billing submits the claim.
Denial management and accounts receivable follow-up and pursue what remains unpaid.
But financial performance depends on every connection holding.
A missing authorization becomes a denial. Incomplete documentation delays coding. A claim error creates more work for accounts receivable. By the time the financial consequence appears, the original problem may have passed through several teams and systems.
After more than 20 years in healthcare solutions, I have seen the same mistakes repeatedly. Our industry focuses too heavily on strengthening individual links and not enough on what happens between them.
A team can meet its service level while the next team inherits rework. A technology can improve one task without improving the financial outcome. A vendor can fulfill its scope while the provider remains responsible for the gaps between partners.
The work may be divided. The outcome is not.
Payer pressure exposes the gaps
Changes in payer requirements quickly expose a fragmented revenue cycle.
The 2026 HFMA and Guidehouse Revenue Cycle Management Trends report found 88% of provider executives surveyed ranked payer challenges among their three greatest revenue cycle concerns. In the same survey, 20% reported final denial rates above 5%, up from 12% in the previous survey.
A changing payer requirement can affect eligibility, authorization, documentation, coding, claim submission, and follow-up. If an organization recognizes the pattern only after claims are denied, it must recover payment while correcting the upstream process.
A connected operation creates a feedback loop. Denials and accounts receivable do more than recover payment. They can identify patterns that should change upstream decisions. Authorization teams receive better payer intelligence. Documentation and coding practices adjust. Claim edits reflect what the organization has learned.
Documentation and coding sit at the center of that loop. The clinical record is where the revenue cycle begins, and it is often where denial patterns can be corrected earliest. When healthcare information management(HIM), coding, and CDI teams can see which documentation gaps are driving denials for which payers, they can fix the cause instead of absorbing the rework.
This is how a revenue cycle prevents problems instead of repeatedly processing their consequences.
Integration needs an operating model
Connection is often treated as a technology decision. Interoperability provides the wiring, but a connected operating model determines whether the signal reaches the right people and triggers the right response. Moving data between systems alone does not create coordinated execution. AI can flag problems faster, but teams still need a clear owner for decisions and corrective action.
A connected operating model has three defining characteristics:
Information is visible and useful across functions.
Downstream results inform upstream decisions and workflows.
Accountability continues across departmental, system, and partner handoffs.
Connection is not a procurement outcome. It is an operating discipline.
Connected does not mean monolithic
A connected revenue cycle does not require one system, one vendor, or the wholesale replacement of existing capabilities.
Healthcare organizations have invested heavily in technology, internal expertise, and specialized partnerships. Much of it works. Replacing effective capabilities to create the appearance of consolidation can add cost and disruption without improving performance.
McKinsey’s 2025 RCM Buyer’s Survey found 60% of respondents planned to change their outsourcing approach. Among this group, three-quarters planned to expand outsourcing. Across the survey, 50% of leaders planned to pursue modular, integrated solutions, compared with 21% planning to pursue point solutions.
The practical response is to preserve capabilities producing value, identify where information stops and handoffs fail, then connect the people, processes, and technology needed to close those gaps.
The chain is not strengthened by replacing every link. It is strengthened by reinforcing the connections where information, decisions, and accountability tend to break.
The goal is coherent performance, not cosmetic consolidation.
Accountability must follow the outcome
Over the years, I have heard some version of the same explanation many times. Every department and partner completed its assigned work, yet the provider must still determine why collections slowed, denials rose, or expected financial improvement never appeared.
Accountability can be distributed, but it cannot be ambiguous.
Revenue cycle leaders should insist on clear answers to four questions.
Who detects problems crossing functional boundaries?
Who coordinates the response?
How does what we learn downstream change upstream work?
Are partners measured by completed activities or improved outcomes?
These answers matter more than the number of systems or vendor contracts in the environment. Consolidating vendors without redesigning governance can centralize activity while leaving accountability unchanged. Adding technology without changing decisions can digitize fragmentation rather than solve it.
A strategic partner must understand how its work affects the larger revenue cycle. It must surface issues outside its immediate scope, return downstream intelligence to upstream teams, and participate in corrective action rather than handing the problem back to the provider.
Start with your current reality
No two organizations begin from the same position. One might need to stabilize accounts receivable. Another might need stronger authorization, coding, or denial prevention. A third might have capable technology but lack the workflow and governance needed to use it effectively.
That is why a predetermined transformation plan is the wrong place to start.
At Access Healthcare, we start with the provider’s current environment, not a standard playbook. We stabilize the areas creating immediate financial pressure, preserve what works, connect what does not, and build the operational capacity for what comes next.
Example: A growing health system with $8B in revenue
At an $8 billion system, Access Healthcare identified inconsistent documentation practices, prolonged delays in discharged, not final billed (DNFB) cases, and gaps in continuous improvement. Our response connected expertise, audit feedback, and workflow governance.
Deployed experts: Inpatient coders and CDI specialists provided consistent audit coverage.
Focused audits and enhanced training: We managed findings across four external audit streams and delivered targeted education that improved team proficiency.
Governance and technology platform: An AI-native workflow platform enabled stronger collaboration, continuous improvement, and governance.
The results: DNFB cases were resolved in under five business days, accelerating cash flow and improving collections. Coding accuracy and metrics for hospital-acquired conditions and patient safety indicators also improved.
The revenue cycle is already connected. Every upstream decision has a downstream consequence.
Leaders need an operating model capable of recognizing those connections early enough to act, with clear responsibility for the financial result.
Connected operations. Accountable outcomes.
Providers should demand this standard, and every revenue cycle partner should be prepared to meet it.
About Access Healthcare
Established in 2011, Access Healthcare remains at the forefront of healthcare management, allowing healthcare organizations to focus on what matters most: their patients. As a global leader, we are recognized as a trusted partner by healthcare organizations, offering a combined AI-embedded, automation, and human expertise revenue cycle management (RCM) operating model to drive visible results at scale.