The Price of Uncertainty: Why Predictability is the Missing Link in U.S. Healthcare

For millions of Americans, the most daunting aspect of the healthcare experience is not the clinical procedure itself, nor the recovery process; it is the paralyzing financial ambiguity that precedes the arrival of a bill. While the national discourse on healthcare reform is saturated with debates over insurance premiums, provider networks, and drug pricing, a critical pillar of the patient experience remains largely ignored: the psychological and economic burden of "not knowing."

In a system defined by complexity, the space between an individual’s need for care and their decision to seek it is currently occupied by profound uncertainty. This uncertainty serves as a silent barrier to access, often leading patients to defer, delay, or entirely forgo necessary medical attention. As we navigate a landscape where over one-third of U.S. adults have reported skipping care due to cost concerns, it becomes increasingly clear that the crisis is not merely one of high prices, but of a systemic failure to provide reliable, actionable financial intelligence.

The Anatomy of the Crisis: When Uncertainty Deters Care

The current healthcare model often defaults to a state of information asymmetry. When a patient cannot reasonably estimate their out-of-pocket costs, the "safer" decision—from a purely budgetary standpoint—is to postpone the visit. This decision-making process, while rational for the individual, creates a cascading effect of negative health outcomes.

The Path of Least Resistance

When individuals delay care for manageable conditions, minor issues often evolve into acute emergencies. By the time a patient feels they can no longer ignore a symptom, they are often pushed toward the emergency room (ER). The ER, frequently the most expensive point of care, becomes the default, transforming what could have been a routine, low-cost intervention into a high-cost crisis. This cycle not only harms the patient’s health trajectory but significantly inflates the total cost of care for employers and benefit providers.

Beyond Technical Transparency

Recent legislative and industry efforts toward price transparency, while well-intentioned, have largely missed the mark. Providing a massive, searchable database of billing codes and negotiated rates fulfills a regulatory requirement, but it fails to address the patient’s reality. An individual grappling with a medical decision on a Tuesday night does not need a spreadsheet of Current Procedural Terminology (CPT) codes; they need a clear, concise answer to the question: "How much will I owe for this specific service under my specific plan?"

The current transparency tools are often "technically" helpful but "practically" useless. Knowing whether a provider is "in-network" does not equip a patient to calculate the financial impact of a specific follow-up scan or a prescribed medication. True transparency must be defined by clarity at the moment of decision-making.

A Chronology of Systemic Failure

To understand how we arrived at this impasse, one must look at the evolution of the U.S. healthcare delivery model over the last three decades:

  • The Era of Fragmentation (1990s–2000s): As managed care expanded, the separation between providers and payers grew. Patients were caught in the middle, often unaware of the financial nuances of their coverage until after a claim was processed.
  • The Rise of High-Deductible Health Plans (2010s): With the shift toward consumer-directed health plans, the financial burden shifted significantly onto the patient. However, the information infrastructure did not evolve to match this shift, leaving patients with "skin in the game" but no compass to navigate the costs.
  • The Transparency Mandate (2020–Present): Federal mandates began requiring hospitals and insurers to publish rates. While this created an influx of raw data, the "translation layer"—the technology that turns data into personalized, accessible cost estimates—remains in its infancy.

The High Cost of Opaque Choices

One of the most striking examples of how predictability impacts costs is the variance in site-of-care. Clinical procedures—such as diagnostic imaging, intravenous infusions, and certain follow-up cancer treatments—can often be performed in either a hospital outpatient department or a physician’s office.

The Cost Gap

While the clinical quality and safety of these two settings may be equivalent, the cost differential is often staggering. A procedure performed in a hospital setting can cost hundreds, or even thousands, of dollars more than the same procedure in a private practice office. Because this information is rarely communicated to the patient prior to the scheduling of the appointment, the patient is blindsided by an exorbitant bill.

When this information is made available in a simple, understandable summary, the behavior changes. Patients, when empowered with the knowledge of their financial trade-offs, are more likely to choose lower-cost settings without sacrificing the quality of care. This is not about restricting access; it is about providing the agency to make informed economic decisions.

The Missing Piece in Lowering the Cost of Care: Predictability

Implications for Employers and Payers

For employers, who remain the primary purchasers of private health insurance in the United States, the current lack of predictability is a major driver of rising costs. By addressing these "information gaps," employers can achieve several key objectives:

  1. Reduction in Unnecessary ER Utilization: By guiding members toward primary care or urgent care centers for non-emergent issues, companies can drastically reduce the cost of episodic care.
  2. Earlier Diagnosis and Intervention: When patients are not deterred by cost uncertainty, they are more likely to seek care for chronic issues in their early stages, preventing the need for more complex and expensive interventions later.
  3. Improved Member Satisfaction: Employees are not asking for a complete overhaul of their coverage; they are asking for the confusion to be removed from the process. Bridging the gap between the "unknown" and the "known" builds trust between the employee and the benefits provider.

Designing for Predictability: A Call to Action

The solution to this crisis requires a shift in mindset: we must treat predictability as a foundational design requirement rather than an "added benefit."

The Role of Technology and Navigation

We must leverage digital tools that guide decisions in real-time. For example, a patient experiencing symptoms at midnight should have access to a digital triage tool that clearly outlines the estimated costs of an ER visit versus a telehealth appointment or a morning urgent care visit.

Furthermore, we must integrate "navigation" into the scheduling process. By identifying patterns in where patients abandon their care—such as when a specialist referral is provided but never scheduled, or when a patient stops following up after an initial visit—providers and payers can proactively reach out with the information needed to clear the path.

Measurability as a Metric of Success

Predictability is measurable. We can track:

  • Abandonment Rates: When do patients stop the scheduling process?
  • Out-of-Network Transitions: At what point does a patient choose a provider that is not covered by their plan, and why?
  • Follow-up Compliance: Are patients returning for recommended screenings when they have a clear understanding of the out-of-pocket costs?

By analyzing these data points, healthcare organizations can identify the precise moments where the system fails the patient and intervene with targeted, transparent communication.

Conclusion: Bridging the Unknown to the Known

Lowering the cost of healthcare will always require confronting the structural incentives and the underlying prices that drive the system. However, while we continue that long-term work, we must prioritize the actionable, immediate improvement of predictability.

The system possesses the necessary data; it simply lacks the mechanisms to translate that data into a language that patients can use at the moment of decision. By focusing on the overlooked details—ensuring information is clear, ready-to-use, and available when it matters most—we can take a significant step toward making healthcare manageable for those the system is designed to serve.

Ultimately, the goal is not merely to reduce the numbers on a bill. It is to remove the fear of the financial impact of seeking care. When we provide patients with the predictability they deserve, we don’t just improve the efficiency of the system; we restore the humanity of the patient experience.


Morgan Kendrick is the Executive Vice President and President of Elevance Health’s commercial and specialty business. With over 30 years of experience, he is a leading voice in the effort to make healthcare more accessible and transparent for all.

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