Why good medical practices become fragile—and why we built Fanoni
Independent practices rarely become fragile because of one bad decision. More often, patient context, operational work, and revenue work separate one handoff at a time. That is the problem Fanoni was built to address.
A patient calls to ask whether a referral was received. The referral team is checking a fax queue. A clinician is waiting for prior authorization. Billing needs documentation from the encounter. The practice owner is trying to answer all three questions between visits.
Every person may be doing their job. Every system may be working as designed. Yet the practice still feels stuck.
That is because the problem is often not one missing feature. It is the space between the features: the handoff where the evidence, status, owner, or next action disappears.
This is the problem we built Fanoni to address.
Independent practice is under pressure
Independent medical practices remain essential. They can preserve physician autonomy, local decision-making, and a close connection between a practice and the community it serves. But independence has become harder to sustain.
The American Medical Association reports that the share of physicians working in private practices fell from 60.1% in 2012 to 42.2% in 2024. The AMA identified inadequate payment rates, costly resources, and regulatory and administrative burdens as longstanding reasons practices are sold to hospitals, insurers, or private-equity firms.
That decline does not mean every independent practice is failing, and it does not prove that technology alone can reverse the trend. It does show that the operating environment has become less forgiving.
For a solo clinician, there may be no backup when a task stalls. The same person may be the physician, employer, purchaser, escalation point, and final reviewer. In a traditional multi-person clinic, the work is distributed—but every additional role, inbox, portal, and system creates another handoff that someone must manage.
The practice becomes fragile when too much of its operating knowledge lives in one person's memory, one spreadsheet, or one disconnected queue.
Practices rarely break in one dramatic moment
Operational failure usually arrives quietly.
It looks like a referral packet with no clear owner. A prior-authorization request waiting on clinical evidence. A patient message separated from the encounter that created it. A claim problem that requires someone to reconstruct what happened in the chart. A follow-up task that exists, but is invisible to the person who needs to act.
None of those moments looks large enough to threaten a practice on its own. Together, they create delay, rework, uncertainty, and dependence on a few people who know how to find everything.
Five patterns make that fragility worse.
1. The chart ends before the work does
Traditional EHRs are often centered on documentation. But the patient's story continues after the note: referrals, orders, prior authorization, patient communication, billing, denials, payment, and follow-up.
When that work moves into separate systems, the team has to rebuild the context at every step.
2. Administrative work grows faster than the team
Healthcare administration is not a side task. The 2024 CAQH Index estimated that administrative work costs the U.S. healthcare system $440 billion annually and identified a $20 billion opportunity from moving remaining manual and partially electronic transactions to fully electronic workflows.
Prior authorization shows how the burden lands inside a practice. In the AMA's 2025 physician survey, practices reported an average of 40 prior authorizations per physician each week and 13 hours of physician and staff time spent on them. Forty percent of surveyed physicians said their practices had staff who worked exclusively on prior authorization.
Large organizations can sometimes absorb that work across specialized departments. A solo or small practice has less room for redundancy.
3. The clinical story and the revenue story separate
The claim begins with care, but billing work often happens far from the encounter. When the clinical evidence, authorization history, coding review, claim status, and payer response live in different places, staff must reconstruct the story before they can decide what to do next.
The result is not simply another click. It is another judgment call made with incomplete context.
4. The owner becomes the integration layer
When systems do not connect the work, people do.
The practice owner remembers which payer requires which document. A senior staff member knows which fax belongs to which referral. One biller knows how to trace a denial back to the encounter. The practice may appear to function, but only because a few people carry the missing connections in their heads.
That model is difficult to scale and vulnerable to interruption.
5. More software creates more places to look
Adding a point solution can improve one task while creating another boundary. A scheduling tool, separate patient messenger, standalone prior-authorization portal, billing system, contact-center application, and AI assistant may each be useful. But if the patient context does not move with the work, the practice gains features without gaining continuity.
The number of modules is not the point. The handoffs between them are.
Why we built Fanoni
We built Fanoni around a simple belief: healthcare technology should preserve context across the entire workflow.
The patient does not become a new person when a visit becomes a referral, a prior-authorization request, a claim, a denial, or a follow-up call. The software should not treat each step as an unrelated event.
Fanoni is an AI-native, FHIR R4 clinical workspace that connects the patient record with clinical care, practice operations, and revenue-cycle work. Depending on the workflow and organization, that can include encounters, scheduling, tasks, referrals, documents, communications, prior authorization, billing, insurance, and clinician-reviewed AI assistance.
The goal is to help the team keep four things visible as work moves:
- Evidence: What information supports the task or decision?
- Status: Where is the work now?
- Ownership: Who is responsible for the next step?
- Next action: What needs to happen before the work can move forward?
That is what a connected EHR should do. It should not stop at the chart. It should help the practice carry the patient's context into the work the chart creates.
AI should support judgment, not hide it
We also built Fanoni because adding AI to a fragmented workflow is not enough.
An answer without a visible source creates a new trust problem. A draft without a review boundary creates a new safety problem. An automated action without clear ownership creates a new accountability problem.
Fanoni's patient-specific assistance is designed around cited FHIR evidence and source viewing. AI-assisted documentation and other clinical workflows retain human review where required. The clinician remains responsible for reviewing and signing clinical work.
We are not building AI to replace professional judgment. We are building software that keeps the evidence visible, connects the handoff, and helps the right person see the next responsible action.
What Fanoni can—and cannot—solve
Software cannot fix every force putting pressure on independent practices. It cannot set payer policy, change reimbursement, hire the right team, or make every operational decision for an owner.
It can reduce the number of places where the team must reconstruct the same story. It can keep related work closer to the patient context that created it. It can make status, ownership, evidence, and review boundaries easier to see.
That is the product standard we are building toward: not more automation for its own sake, but a more connected way to run the practice.
A practical test for your current systems
Ask five questions about one real patient workflow:
- Can the team find the current patient context without searching several systems?
- Does every handoff show its evidence, status, owner, and next action?
- Can staff see why a referral, authorization, claim, or follow-up is stalled?
- When AI assists, can the reviewer see the source and keep control of the decision?
- Could the workflow continue if the one person who knows all the workarounds were unavailable?
If the answer to several of those questions is no, the problem may not be your team's effort. The operating system around the team may be asking people to hold together work that the technology should keep connected.
That is why we built Fanoni.
One patient story, connected across the workflow.
Book a personalized Fanoni demo to walk through the handoff creating the most friction in your practice.
