Faster Diagnostics, Faster Payments: Best Practices for Error-Free Billing

About 5% of U.S. adults each year experience diagnostic errors, often because tests are not ordered, processed, or interpreted correctly. But beyond their clinical impact, these errors also have a direct, measurable effect on billing performance, including claim denials, delayed reimbursements, rework, and lost revenue.

While healthcare teams aim to “do no harm,” even small inefficiencies in high-pressure environments can ripple across both patient care and financial outcomes. By understanding where errors occur and designing smarter workflows, organizations can simultaneously improve accuracy, turnaround time, and billing efficiency.

In this blog, we’ll walk through the root causes of diagnostic errors, where they occur in the testing journey, and how to implement systems-driven solutions that strengthen both clinical and financial performance.

Key Takeaways

Diagnostic errors affect ~5% of adults annually, and often result in billing delays, denials, and revenue leakage.

Many errors stem from system gaps, not individual mistakes.
Each phase of diagnostics introduces risks that can impact both patient outcomes and claim accuracy.

Streamlined workflows and better integration can reduce rework, accelerate turnaround, and improve collections.

Why Diagnostic Errors Occur

A diagnostic error occurs when a condition is missed, delayed, or incorrectly identified. While these errors are often viewed through a clinical lens, they also create significant downstream billing challenges.

For example:

An incomplete test order can lead to incorrect coding or rejected claims

Delayed results can push claims outside payer timelines

Misinterpretation may require retesting or claim resubmission, increasing administrative costs

Research shows that about 5% of adults experience diagnostic errors each year, and that over half of these result in serious harm. From a financial perspective, this also translates into avoidable revenue loss and operational inefficiency.

Understanding why diagnostic errors occur can help improve your practice, and these are commonly divided into three categories.

Type of error

Cause

Example

Type of error

No-fault errors

Cause

Factors beyond the clinician’s or the system’s control, such as unusual patient symptoms or misleading patient information.

Example

A patient presents with fatigue and mild pain; lab tests initially appear normal, delaying the correct diagnosis of anemia.

Type of error

System-related errors

Cause

Failures within the healthcare system, such as poor communication, inefficient workflows, or technical issues.

Example

A lab system incorrectly flags a sample as “pending,” delaying results and follow-up care.

Type of error

Cognitive errors

Cause

Mistakes in thinking, reasoning, or decision-making are often due to limited knowledge, fatigue, or incomplete information.

Example

A clinician overlooks a subtle lab abnormality because of a high workload or distraction.

While these categories are helpful for analysis, in practice, they often intersect and compound one another. So where do these errors occur in the diagnostic process?

Diagnostic Errors: Where They Happen and How to Prevent Them

The National Academy of Medicine in the United States notes that most patients will experience at least one diagnostic error in their lifetime. Understanding errors per phase allows healthcare teams to target interventions more effectively.

Each phase of the diagnostic process introduces risks that don’t just affect care; they also directly impact how and whether you get paid.

Phase

Common Error

Error Type

Billing Impact

Best Practices

Phase

1. Test Ordering & Preparation

Common Error

Confusing or incomplete order forms, missing patient identifiers, and unclear clinical details

Error Type

System-related / Cognitive

Billing Impact

Claim rejections, coding errors, and delayed submissions

Best Practices

  • Standardize digital order forms
  • Require complete clinical info
  • Verify patient IDs
  • Flag missing/unclear orders before submission

Phase

2. Laboratory Testing

Common Error

Equipment malfunctions, calibration issues, sample mishandling, and misreading results

Error Type

System-related / Cognitive

Billing Impact

Incorrect charges, mismatched codes, denied claims

Best Practices

  • Integrate lab and billing systems
  • Minimize manual data entry
  • Validate claims before submission
  • Maintain equipment and standardized procedures

Phase

3. Result Reporting & Interpretation

Common Error

Delayed notifications, incomplete documentation, and misinterpretation of results

Error Type

System-related / Cognitive

Billing Impact

Late filing, payer disputes, rework

Best Practices

  • Enable real-time result sharing
  • Set alerts for abnormal findings
  • Maintain clear documentation protocols
  • Proactive follow-up with insurers

Errors across these phases don’t just affect care, as they compound financially. A small issue at the ordering stage can cascade into denials, appeals, and delayed collections, increasing administrative burden and reducing overall revenue efficiency.

By framing diagnostic errors first by category, then by phase, healthcare organizations can pinpoint vulnerabilities, design targeted safeguards, and reduce errors before they impact patients.

Case Study: How Synapse Lab Billing Transformed Collections

A Synapse diagnostic laboratory client faced frequent claim denials, delayed reimbursements, and inconsistent collections due to complex cases involving multiple diagnoses and procedures.

Before Synapse, the lab struggled with inconsistent collections and high denial rates driven by workflow gaps. To address this, Synapse implemented key billing improvements such as:

Claims missing a covered diagnosis were flagged and corrected before submission
Accurate diagnosis-to-procedure matching to prevent denials
Pre-submission claim validation to catch missing coverage

Faster documentation flow to meet payer requirements

Case Study - How Synapse Lab Billing Transformed Collections

By implementing accurate billing, proactive follow-ups, and timely communication, the lab achieved higher revenue, fewer denials, and smoother operations:

60% increase in average monthly payments from Year 1 to Year 2 ($353,739 to $566,427)
52% increase in average monthly charges, with procedures rising from 12,630 to 14,573 (+15%)

Charge-to-collection ratio improved from 74% to 77%

This shows how addressing diagnostic workflow issues directly improves financial performance, not just clinical accuracy

Streamline Lab Billing Errors with Synapse

Diagnostic errors rarely happen in isolation. They emerge from small inefficiencies across ordering, processing, reporting, and ultimately, billing.

When left unaddressed, these gaps lead to:

Increased claim denials and rework

Delayed cash flow
Lost revenue opportunities
By streamlining the entire diagnostic workflow, organizations can:
Reduce errors at every stage
Accelerate both clinical turnaround and billing cycles
Improve claim acceptance rates
Strengthen overall financial performance

At Synapse Lab Billing, we help laboratories implement integrated, end-to-end solutions that align clinical workflows with billing accuracy, ensuring that every test performed results in timely, accurate reimbursement.

About Us

Synapse Lab Billing solutions are designed to align with your laboratory’s goals while providing a clear view of operations. With Synapse, you gain real-time insights for benchmarking, compliance, and decision-making, helping you optimize workflows, reduce errors, and boost revenue.

Reduce Errors, Accelerate Payments, and Transform Your Diagnostic Workflow with Synapse