Learn the basics of E/M coding, the 2026 updates, documentation rules, and payer audit tips to improve accuracy, prevent denials, and protect healthcare revenue.
Published on:
November 3, 2025
Updated on:
July 24, 2026


Key Takeaways:
• E/M codes convert clinical complexity into billable CPT values; choose levels using MDM or total time per 2025 rules.
• Accurate documentation (reason for visit, MDM or time statement, assessment/plan, signature) is the top defense against denials.
• Standardizing MDM interpretation is the fastest way to cut E/M coding variation.
• Common denials stem from missing MDM detail, vague time notes, modifier misuse (25/59), and ICD-10 nonspecificity.
• CombineHealth helps hospitals improve E/M coding by making every AI recommendation explainable, evidence-backed, and reviewable before claims are submitted.
• Payers use automated downcoding and targeted audits (Cigna, Aetna, CERT); proactive audits and benchmarking reduce risk.
Medical billing errors are rarely about effort, but more about complexity. And E&M coding is the most frequently used and most scrutinized category in medical billing.
Every visit, note, and decision a provider documents has a financial translation, and when even one detail is missed, the ripple effects can be costly. Now, layer in 2026’s new CPT codes, telehealth expansions, and payer-specific downcoding policies, the margin for error gets even smaller.
But don’t worry, there are practical ways to select the right E&M code, stay compliant, and protect your healthcare organization’s revenue.
This guide breaks down every major component of E/M coding in 2026—from documentation requirements and code selection to payer audits and denial prevention—in the exact order we recommend tackling them.

E/M (Evaluation and Management) coding assigns a service level to every patient encounter based on medical decision-making (MDM) or total time. It’s how healthcare providers get paid for non-procedural visits, such as office visits, hospital admissions, and telemedicine consultations.
These E/M codes are maintained by the American Medical Association (AMA) under the Current Procedural Terminology (CPT) system and are used for billing for patient encounters that involve evaluating a patient’s health condition and managing their care.
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E/M coding matters because it sets reimbursement for the majority of provider visits. Because the level is driven by documentation rather than a fixed procedure, small or systematic errors move revenue and audit risk directly — which is why it's the most scrutinized category in medical billing.
When the E/M level is wrong, revenue leaks three ways: payers downcode your claims, claims are denied outright, or providers quietly undercode and never bill what they earned.
Accurate E&M coding directly impacts:
Evaluation and management codes are typically divided by setting and patient type:
Below are real-world examples showing how E&M levels differ across encounters, specialties, and documentation depth:
A patient with controlled hypertension visits for medication refills and blood pressure monitoring. No new symptoms are reported, and no additional tests are ordered.
E&M Code: 99213 (Established patient, low MDM)
A 72-year-old patient presents for follow-up of type 2 diabetes, hypertension, and chronic kidney disease (CKD Stage 3). The provider reviews recent labs, adjusts insulin dosage, and coordinates with a nephrologist.
E&M Code: 99215 (Established patient, high MDM)
A psychiatrist conducts a 20-minute audio-video telemedicine session with a patient being treated for major depressive disorder. Medication adherence and side effects are reviewed; no acute safety concerns.
E&M Code: 98005 (Established patient, telehealth, low MDM)
A patient arrives with shortness of breath and chest pain. The ED physician orders an ECG, chest X-ray, and labs, interprets the results, and initiates a cardiology consult for possible acute coronary syndrome.
E&M Code: 99285 (Emergency Department, high MDM)
Recommended Reading: Evolution of RCM in the emergency department and where AI can help
A general surgeon evaluates a patient for an elective laparoscopic cholecystectomy. The visit involves reviewing prior imaging, explaining surgical risks, and obtaining informed consent.
E&M Code: 99204 (New patient, moderate MDM)
Starting in 2021 and reaffirmed by the 2025 AMA CPT guidelines, providers can select Evaluation and Management (E&M) levels using either total time spent on the date of service or Medical Decision Making (MDM) complexity—whichever most accurately represents the encounter.
Here’s what they each mean and when they’re used:
MDM represents the complexity of establishing a diagnosis, evaluating data, and determining management options. It is the most commonly used method for E&M selection and is based on three elements:
To determine the E/M code, at least two of the three MDM elements must meet or exceed the requirements for a specific level of service.
Below is a breakdown of how the severity of conditions and their MDM levels are evaluated:
When a provider’s effort is primarily driven by counseling, care coordination, or documentation time rather than MDM complexity, time-based coding is appropriate. Time refers to the total time personally spent by the provider on the date of service, including both face-to-face and non-face-to-face work.
Countable activities include:
Choose MDM-based coding for most visits — the number and complexity of problems, data reviewed, and risk set the level.
Choose time-based coding when counseling or care coordination dominates the encounter, or when a visit runs long; then total time on the date of service sets the level.

Here’s how both approaches compare with one another and when to choose what:
The choice between Time and MDM based E and M coding depends on what drives the encounter’s complexity and resource use.
Example:
For prolonged patient counseling that involves lifestyle changes, chronic disease education, a time-based evaluation would be a better choice. That’s because in this case, the clinical reasoning is less complex but time-intensive.
However, for multiple comorbidities requiring diagnostic analysis and data review, an MDM-based code selection would be appropriate.
The key to selecting the right E/M code is aligning clinical documentation with the official code descriptors, ensuring the record clearly supports the code billed.
Here’s what the process typically looks like:

Check out this E/M Calculator by AAPC that helps you determine the final E/M code by inputting encounter details.
Every E&M record must be complete, specific, and internally consistent.
The CMS defines proper documentation through a set of foundational principles that apply to all E&M services:
When coding is based on MDM, the documentation must explicitly support the three MDM elements defined by the AMA:
Example: “Chronic kidney disease — Stage 3, worsening with elevated creatinine”
Example: “Reviewed recent nephrology note and lab panel from 10/15/25; discussed management changes with Dr. Ryan.”
Describe treatment options considered, changes in therapy, and potential complications.
Example: “Initiated insulin; discussed risk of hypoglycemia.”
When using time-based coding, the provider must document total time spent on the date of service and detail qualifying activities.
Example: “I personally spent 42 minutes on the calendar day of the encounter, including 15 minutes reviewing prior labs, 10 minutes patient counseling, and 17 minutes documentation.”
Do not include:
For a Level 5 visit (99205/99215), payers expect documentation showing high-complexity MDM: multiple or worsening chronic conditions, extensive data review, and high risk — such as decisions about hospitalization, major surgery, or drug therapy requiring intensive monitoring. A time-based Level 5 needs the total time documented (60+ minutes for a new patient).
Accurate E&M documentation directly impacts Merit-based Incentive Payment System (MIPS) performance scores. Each encounter must demonstrate:
All these factors help satisfy MIPS quality measures, particularly those tied to chronic disease management, preventive services, and care coordination.
Precise E&M documentation not only drives reimbursement accuracy but also protects incentive payments and future participation eligibility under evolving MIPS Value Pathways (MVP) frameworks.
CDI teams close the gap between what happened in the patient visit and what the clinical note proves. They query providers for missing specificity, flag notes that won't support the level, and prevent downcoding before the claim goes out — the same documentation gaps AI can surface at the point of coding.
The 2025 CPT and CMS updates represent one of the most significant expansions of Evaluation & Management (E&M) services since the 2021 transition to MDM-based coding.
These changes reflect a broader shift toward virtual-care inclusion, longitudinal patient management, and outcome-driven documentation.
The 2025 CPT code set introduces a dedicated family of telemedicine evaluation and management codes to differentiate between audio-video and audio-only visits.
CPT codes 99441–99443 (telephone evaluation and management) are deleted as of January 1, 2025. These have been replaced by 98008–98015 to align with the growing hybrid-care model and ensure time-based parity with in-person visits.
The 2025 AMA update continues the 2021 shift toward clinically relevant documentation over volume.
Modifiers provide essential context to an Evaluation & Management (E&M) service, signaling to payers that a visit included distinct or additional work beyond the standard encounter. When applied correctly, modifiers ensure providers are reimbursed appropriately.
Here are the common modifiers used in E/M billing:
The use of Modifier 25 indicates that the E&M service was above and beyond the usual preoperative or postoperative evaluation associated with a procedure performed on the same day.
Some appropriate use cases:
Example:
A patient visits for an ear infection and, during the same encounter, receives a mole removal. In this case, the evaluation can be billed with 99213-25, and the mole removal with the procedure code.
The use of modifier 59 denotes that a procedure or service is separate and distinct from another procedure performed on the same day, even when both codes normally bundle under National Correct Coding Initiative (NCCI) edits.
The differences between Modifier 25 and 59:
Example:
If a provider performs two procedures on the same day that would normally be bundled, Modifier 59 may be appended to the secondary code to justify payment.
G2211 is not technically a modifier, but it acts as an add-on code for visit complexity. It reflects the additional work associated with longitudinal or ongoing patient management during office or outpatient visits.
When you can bill G2211:
E/M coding is challenging because the level depends on interpreting the provider's documentation — MDM complexity, data reviewed, and risk — not a fixed procedure. That subjectivity, plus frequent payer-specific rule changes and automated downcoding, makes consistent, defensible coding hard.
Even with the AMA’s simplification of documentation rules and the 2021 shift to Medical Decision Making (MDM)-based coding, E/M coding issues are one of the top causes of claim denials and compliance audits.
Common challenges include:
Because E/M is billed on nearly every encounter, even a small per-visit gap compounds into meaningful annual loss at volume. To size it for your own organization, multiply the payment difference between adjacent levels by the share of visits affected — a far more defensible figure than an industry average.
E/M revenue leaks in two directions:
Amy, CombineHealth’s Medical Coding Platform, surfaces missed opportunities where the note already supports a higher level, turning coding review into legitimate revenue capture — the coder reviews the evidence, and the provider gets educated.
Below are some common denials happening in E/M billing:
Documentation gaps in E/M billing prevent coders and payers from validating the billed level of service.
Some common documentation-related issues include:
CombineHealth’s AI Medical Coding Agent Amy automatically reviews encounter notes for missing MDM, time, or modifier elements and suggests code-level adjustments based on payer-specific logic.
Medical necessity is the “overarching criterion” for payment for E/M services. Some common examples of unjustified medical necessity include:
CombineHealth’s AI Appeals Agent Rachel extracts subtle references from provider notes to generate medical necessity reasoning.
Modifiers 25 and 59 are among the most common sources of E&M denials due to misuse or omission.
For example, a provider bills 99214 with a minor procedure but fails to document a separate assessment, and as a result, the payer bundles the E&M and denies the claim.
CombineHealth’s AI Medical Billing Agent Mark applies payor-specific billing SOPs, validates codes & modifiers, and prepares charges for claim submission.
Both upcoding (billing higher than documentation supports) and undercoding (billing lower than complexity) are costly. As a result, payer downcoding algorithms automatically lower levels if MDM documentation is vague or missing.
CombineHealth’s AI Medical Coding Agent Amy provides line-by-line rationale and evidence behind each of her coding decisions.
You're likely undercoding if your E/M level distribution skews toward Level 3 (99213/99203) while patient acuity doesn't. Compare each provider's distribution against specialty norms — a panel of chronic, complex patients billing mostly Level 3 is the clearest undercoding signal.
Signals to watch:
Payer audit programs have become more automated, frequent, and stringent. Here are some examples:
Launched concurrently with Cigna’s policy, Aetna’s program targets Level 4 and 5 E&M visits across multiple specialties.
Audit focus areas include:
CMS’s CERT program audits a random sample of Medicare claims annually to measure improper payment rates. E and M codes like 99214 consistently rank among the top error categories.
Amy, CombineHealth’s medical coding platform, is payer-aware — she weighs payer edits and denial history alongside AMA guidelines, which helps separate payer-driven downcoding from documentation or coder-side causes.
Follow these best practices to strengthen your E/M coding and billing workflows:
Focus on verifying MDM accuracy, time-based documentation, and modifier use. Once done, compile these findings into a structured report shared with compliance, coding, and clinical leadership.
Over time, these audits reveal provider-specific trends—such as habitual undercoding or inconsistent MDM descriptions—that can be corrected through focused education before external audits occur.
Use AI-assisted RCM Platforms to analyze encounter notes in real time, verify MDM completeness, and detect inconsistencies between documented risk, time, and diagnosis codes. The goal is to reduce manual errors by flagging missing chief complaints, vague MDM narratives, or unsupported time entries before claim submission.
For healthcare organizations handling large volumes of claims on a daily/weekly basis, these tools can help ensure payer-specific policy alignment by automatically applying the correct modifiers and identifying conflicts.
Yes. The best AI medical coding software doesn't just recommend an E/M level, but also explains the why. It should break every decision into the Medical Decision Making (MDM) components of problem complexity, data complexity, and risk, while linking each conclusion to the supporting clinical documentation. This gives coders an auditable rationale instead of a black-box score.
Amy, CombineHealth’s medical coding platform, explains every E/M recommendation by showing the evidence behind it, including clinical findings, tests, medications, and documented risk. It also flags documentation gaps, identifies supported higher E/M levels, and routes ambiguous cases for human review or physician queries.

Continuous provider education is critical to maintaining compliant E&M coding—especially amid yearly CPT and CMS updates. Make sure each provider undergoes refresher training at least twice a year, covering new documentation rules, payer audit trends, and real case examples from internal audits.
Benchmarking E&M utilization is one of the most effective ways to identify compliance risks early. Each specialty has an expected “bell curve” of E&M code usage—for instance, family medicine typically bills 99213–99214 most frequently, while emergency departments skew toward 99284–99285.
Establish an E&M denial analytics dashboard that categorizes issues by type (medical necessity, modifier, documentation, or coding level) and calculates both denial frequency and financial impact. Pair quantitative data with qualitative root-cause analysis from appeal outcomes to understand why certain payers or providers generate more denials.
For example, if a pattern emerges where 99214 claims are frequently rejected for “insufficient MDM,” it signals a documentation training need rather than a billing issue.
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E&M documentation shouldn’t be a guessing game—and it doesn’t have to drain your team’s time or revenue. That’s why CombineHealth’s AI Agents help streamline your E/M coding and billing accuracy.
From Amy, the AI Medical Coder who ensures compliant, payer-specific code selection, to Mark, the AI Biller who validates claims and manages denials—our AI Workforce works together to reduce errors, accelerate reimbursements, and protect revenue integrity across every encounter.
Book a demo today!
What is the difference between a CPT code and an E/M code?
CPT codes describe all medical services and procedures, while E and M codes are a specific subset of CPT codes used to report patient evaluation and management visits based on complexity, time, and medical decision-making.
What is medical decision-making in E&M coding?
Medical decision-making (MDM) reflects the complexity of diagnosing and managing a patient’s condition. It considers three elements: problems addressed, data reviewed, and risk of complications or morbidity.
What are the new E&M guidelines for 2026?
The 2026 CPT update introduces new telehealth codes (98000–98015), deletes telephone visit codes (99441–99443), expands G2211 usage, and clarifies “medically appropriate” history and exam documentation.
What are some common denial reasons related to E&M coding?
Frequent denial causes include missing chief complaints, incomplete MDM, incorrect time documentation, misuse of modifiers (especially 25), vague medical necessity justification, and mismatched ICD-10 specificity.
What is E/M in medical coding?
E/M stands for Evaluation and Management. It refers to a category of CPT codes used to document and bill for non-procedural patient encounters—such as office visits, hospital admissions, and telehealth consultations—based on the complexity of medical decision-making or total time spent providing care.
Our Level 5 E/M claims keep getting denied. Where should we start?
Pull the denial reason codes first. Most Level 5 denials are documentation-driven: the note doesn't show high-complexity MDM or the required time. Compare denied charts against payer expectations for 99205/99215, then fix the pattern before appealing.
We switched EHRs and our E/M reimbursement dropped. What could be happening?
New note templates often change how MDM elements are captured. If the template prompts less specificity, documentation stops supporting prior levels and coders round down. Audit post-switch charts against pre-switch notes to confirm.
We passed coding audits but reimbursement is still falling. Why?
If coding is accurate, the loss is likely payer behavior — automated downcoding of correct claims. Track downcoding rate by payer and level; the fix is appeals and payer-policy monitoring, not coder retraining.
How do we know whether our problem is documentation, coder inconsistency, or payer behavior?
Use the root-cause table above: denials after clean audits point to payers; coders splitting on the same chart point to variation; providers documenting "enough" but payers disagreeing points to specificity gaps.
We're evaluating AI for E/M coding. What capabilities matter beyond accuracy?
Explainability (can it show why it chose a level?), payer-policy awareness, documentation-gap detection before submission, and human-in-the-loop review. Those decide whether AI-generated codes hold up in a payer audit.
How do we reduce E/M denials without asking physicians to write longer notes?
Focus on specificity, not length. A concise note that states the problems, data reviewed, and risk supports the level better than a long, vague one. Targeted CDI prompts fix the gaps without adding burden.
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