Posted on

Jun 22, 2026

ICD-10 Auto-Suggest Logic: How Real-Time Excludes1/Excludes2 Enforcement Eliminates Hard Edits

Medical billing interface demonstrating ICD-10 auto-suggest logic with real-time Excludes1 and Excludes2 code validation enforcement
Medical billing interface demonstrating ICD-10 auto-suggest logic with real-time Excludes1 and Excludes2 code validation enforcement

ICD-10 Auto-Suggest Logic: How Real-Time Excludes1/Excludes2 Enforcement Eliminates Hard Edits Before Claim Submission

Clinical Update — June 2026: This playbook has been revised to reflect the FY 2026 ICD-10-CM Official Guidelines for Coding and Reporting (effective October 1, 2025) and updated 277CA relational edit tables from major clearinghouses. Section 5 now incorporates FHIR R4 v6.0.0 Condition resource changes. Section 6 expands 7th-character adjudication logic for T36–T50 drug events following CMS Transmittal 12844 guidance on poisoning vs. adverse effect classification. All clinical scenarios have been re-validated against current payer edit sets.

  • TL;DR — Why This Matters for CDI Directors

  • 1. Scribing.io Clinical Logic: Stroke Clinic Follow-Up — Sequela vs. Acute Infarction

  • 2. Technical Reference: ICD-10 Documentation Standards for I69.351 and I63.50

  • 3. The Excludes1/Excludes2 Enforcement Gap That Competitors Miss

  • 4. How the Real-Time Decision Graph Works: Architecture and Workflow

  • 5. FHIR R4 Signal Integration: Acute vs. Sequela, Poisoning vs. Adverse Effect

  • 6. 7th-Character Adjudication for Injuries (S00–T88) and Drug Events (T36–T50)

  • 7. Pre-Signature Validation: Blocking Mutually Exclusive Pairs and Prompting Required Add-Ons

  • 8. Cross-Specialty Impact: From Neurology to Obstetrics to Primary Care

TL;DR — Why This Matters for CDI Directors

Legacy auto-coders suggest codes from clinical text without enforcing ICD-10-CM relational rules at the point of documentation. The result: mutually exclusive code pairs—Excludes1 violations—sail through to the clearinghouse, trigger 277CA A7 hard edits, and bounce claims that require costly rework. Scribing.io's auto-suggest engine runs a real-time Excludes1/Excludes2 decision graph that cross-references tabular rules, OCG sequencing conventions, 7th-character logic, and FHIR R4 clinical signals—before the provider signs the note. The stroke follow-up scenario below illustrates how a single unblocked I69.351 + I63.50 pairing can reject a $7,800 rehab plan. Scribing.io catches it upstream. Every time.

Conversion Hook: Book a 15-minute demo to see our Excludes1/Excludes2 engine with 277CA hard-edit simulation prevent I69+I63 conflicts in real time and auto-prompt required add-on codes before provider sign-off.

1. Scribing.io Clinical Logic: Stroke Clinic Follow-Up — Sequela vs. Acute Infarction

The Scenario

A 62-year-old patient presents to a stroke rehabilitation clinic. The provider's note reads:

"3 months after L-MCA infarct with persistent right hemiparesis. Patient continues outpatient PT/OT. Neurological exam shows right upper extremity 3/5, right lower extremity 4/5. No new neurological deficits."

What a Legacy Auto-Coder Does

A conventional NLP-based auto-coder scans the note and identifies two clinical concepts:

  • Cerebral infarction → suggests I63.50 (Cerebral infarction due to unspecified occlusion or stenosis of unspecified cerebral artery)

  • Right hemiparesis following cerebral infarction → suggests I69.351 (Hemiplegia and hemiparesis following cerebral infarction affecting right dominant side)

Both codes appear on the suggested list. The provider, focused on the clinical encounter and trusting the technology, signs the note. The claim is submitted. This is the same class of pre-signature enforcement failure that impacts documentation across specialties—from Psychiatry encounters where F32.* and F33.* Excludes1 pairs collide, to Family Medicine visits where diabetes type conflicts (E10.* vs. E11.*) generate identical clearinghouse rejections.

What Happens at the Clearinghouse

The 277CA transaction returns an A7 rejection—a hard edit. The reason: I69.* carries an Excludes1 note against I63.* in the ICD-10-CM Tabular List. These codes are mutually exclusive. A sequela code (I69.*) and an acute-phase code (I63.*) cannot coexist on the same claim for the same encounter because they represent contradictory clinical states. The patient cannot simultaneously be experiencing an acute cerebral infarction and recovering from the sequelae of one.

The $7,800 rehabilitation plan is rejected. The CDI team must:

  1. Identify the rejection reason in the remittance advice

  2. Trace it back to the code pairing

  3. Contact the provider for clarification or amendment

  4. Resubmit the corrected claim

  5. Track the resubmission through a new adjudication cycle

Current clinical benchmarks from the AMA's practice management data indicate this rework loop adds 14–21 days to reimbursement and costs $25–$38 per claim in administrative labor.

What Scribing.io Does Differently — Step-by-Step Logic Breakdown

Step

Scribing.io Action

Data Source

1. Concept Extraction

Identifies "L-MCA infarct," "right hemiparesis," and temporal marker "3 months after"

Clinical NLP layer

2. Temporal Classification

Detects "3 months after" as a sequela-phase temporal cue; classifies encounter as follow-up, not acute

FHIR R4 Condition.clinicalStatus = "resolved" or "inactive" for the infarction; Encounter.period confirms current date is well beyond the acute window

3. Excludes1 Graph Query

Checks I69.351 against the Excludes1 rule set: I69.* excludes I60–I67 (acute cerebrovascular events including I63.*)

ICD-10-CM Tabular decision graph, updated to FY 2026 addenda

4. Suppression

Blocks I63.50 from the suggestion list entirely — it never appears for provider selection

Pre-signature enforcement logic

5. Specificity Prompt

Retains I69.351 as the primary sequela code; prompts provider: "Is right side the dominant side? Confirm or select I69.352 for non-dominant." Also checks if NIHSS score documentation is present for completeness

Auto-prompt for clinical specificity per NCHS documentation standards

6. Clean Submission

Claim submits with I69.351 (and any applicable Z87.* history code if warranted) — no hard edit, no rework

Pre-validated against 277CA relational edits

The claim clears on first pass. The rehab plan is authorized. The revenue cycle continues uninterrupted.

The Anchor Truth: AI auto-suggestion must cross-reference Excludes1 and Excludes2 rules in real-time to prevent conflicting code combinations that trigger immediate hard edits in the clearinghouse. Without this enforcement layer, every auto-coded suggestion is a potential denial waiting to happen.

2. Technical Reference: ICD-10 Documentation Standards for I69.351 and I63.50

I69.351 — Hemiplegia and Hemiparesis Following Cerebral Infarction Affecting Right Dominant Side

Attribute

Detail

Chapter

9 — Diseases of the Circulatory System (I00–I99)

Block

I69 — Sequelae of cerebrovascular disease

Category

I69.3 — Sequelae of cerebral infarction

Full Code

I69.351

Description

Hemiplegia and hemiparesis following cerebral infarction, affecting right dominant side

7th Character

None (Chapter 9 codes do not use 7th-character extensions)

OCG Reference

Section I.C.9.d — Sequelae of Cerebrovascular Disease

Excludes1

Conditions classifiable to I60–I67 in their acute phase

Documentation Requirements

(1) Residual condition documented (hemiparesis), (2) causal relationship to prior cerebral infarction established, (3) laterality with dominance specification

I63.50 — Cerebral Infarction Due to Unspecified Occlusion or Stenosis of Unspecified Cerebral Artery

Attribute

Detail

Chapter

9 — Diseases of the Circulatory System (I00–I99)

Block

I63 — Cerebral infarction

Category

I63.5 — Cerebral infarction due to unspecified occlusion or stenosis of cerebral arteries

Full Code

I63.50

Key Limitation

This is an unspecified code. When the provider documents a specific artery (e.g., "L-MCA"), a more specific code such as I63.512 (left middle cerebral artery) should be selected. Legacy auto-coders frequently default to .50 when they fail to map anatomical detail.

Clinical Context

Appropriate only during the acute phase of a cerebral infarction or within the initial encounter window

The Excludes1 Relationship

Per the FY 2026 ICD-10-CM Official Guidelines for Coding and Reporting, Section I.A.12.a:

"An Excludes1 note is a pure excludes note. It means 'NOT CODED HERE!' An Excludes1 note indicates that the code excluded should never be used at the same time as the code above the Excludes1 note."

Category I69 carries an Excludes1 for I60–I67. This means I69.351 (sequela of cerebral infarction) and I63.50 (acute cerebral infarction) cannot appear on the same claim. This is not a soft edit or a coding preference—it is a structural prohibition within the classification system. Clearinghouses enforce it as a hard edit because payers have codified these Excludes1 relationships into their 277CA relational edit tables.

I69.351 — Hemiplegia and hemiparesis following cerebral infarction affecting right dominant side; I63.50 — Cerebral infarction due to unspecified occlusion or stenosis of unspecified cerebral artery — explore the full code reference, Excludes1 mapping, and specificity guidance in the Scribing.io ICD-10 database.

Scribing.io ensures these codes reach maximum specificity by doing two things the legacy stack cannot: (1) when the provider documents "L-MCA," the system maps to I63.512 (left middle cerebral artery) rather than defaulting to the unspecified I63.50—but only surfaces this code when temporal signals confirm an acute encounter; and (2) for the sequela encounter, I69.351 includes the dominance qualifier, which the system actively prompts the provider to confirm rather than leaving it to inference.

3. The Excludes1/Excludes2 Enforcement Gap That Competitors Miss

The FY 2026 ICD-10-CM Official Coding Guidelines define the rules. What they do not provide—and what no static guideline document can provide—is real-time, pre-signature enforcement of those rules within a clinical documentation workflow. This is the critical gap.

Dimension

CMS/NCHS Official Guidelines

Legacy Auto-Coders

Scribing.io

Excludes1 rules

Defined in Section I.A.12.a; printed in Tabular List

Rules exist in code database but not enforced at point of suggestion

Real-time decision graph blocks mutually exclusive pairs before they reach the suggestion list

Excludes2 rules

Defined in Section I.A.12.b; "not included here"—may be reported together if documented

Rarely surfaced to provider; no conditional logic

Context-aware: surfaces Excludes2 codes as optional add-ons only when clinical documentation supports co-occurrence

Code First / Use Additional Code

Defined in Section I.A.13; etiology/manifestation pairs require specific sequencing

Suggests codes without enforcing sequence; provider must manually reorder

Auto-sequences etiology before manifestation; locks order prior to submission

7th-character requirements

Defined in Section I.A.5 and I.C.19.a; mandatory for S00–T88

Often defaults to "A" (initial encounter) regardless of clinical context

Infers A/D/S from FHIR Encounter.period, Condition.clinicalStatus, and temporal NLP cues

Temporal context (acute vs. sequela)

Defined in Section I.B.10; sequela requires the residual condition + the sequela code

No temporal reasoning; suggests both acute and sequela codes simultaneously

Temporal NLP + FHIR signals classify encounter phase; suppresses inappropriate phase codes

Payer-specific relational edits

Not addressed (guidelines are payer-agnostic)

Not addressed

Pre-validates against clearinghouse 277CA A7 relational edit tables for top commercial and government payers

Why Concept-Matching Architecture Fails

When AI auto-suggest tools entered the market, most adopted a concept-matching architecture: extract clinical terms from the note, map them to ICD-10-CM codes, present a list. This architecture treats the ICD-10-CM as a flat lookup table. It is not. The classification system is a directed graph with enforced relational constraints—Excludes1 prohibitions, Excludes2 allowances, Code First/Use Additional Code sequencing mandates, 7th-character state requirements, and laterality/dominance specificity tiers. A flat lookup returns I63.50 and I69.351 because both terms appear in the note. A graph-aware engine returns only the code that is valid for the encounter's temporal and clinical context.

Research published in the JAMA Health Forum has consistently demonstrated that coding error rates increase when auto-suggest systems lack relational rule enforcement—particularly in cerebrovascular, diabetes, and obstetric coding categories where Excludes1 conflicts are densest.

4. How the Real-Time Decision Graph Works: Architecture and Workflow

Scribing.io's Excludes1/Excludes2 enforcement is not a post-hoc scrubber. It operates within the auto-suggest pipeline, between concept extraction and code presentation. Here is the architecture:

Pipeline Stages

  1. Clinical NLP Extraction: The ambient or dictated note is parsed for clinical concepts, anatomical terms, temporal markers, medication references, and procedure context. Each extracted concept carries metadata: polarity (positive/negative/uncertain), temporality (current/historical/future), and source span position.

  2. Candidate Code Generation: Each concept maps to one or more candidate ICD-10-CM codes. For the stroke scenario, "L-MCA infarct" generates candidates I63.511 and I63.512 (left MCA, with stenosis/occlusion subtype distinction), while "right hemiparesis following cerebral infarction" generates I69.351 and I69.352 (dominance variants).

  3. Temporal Phase Assignment: FHIR R4 signals and NLP temporal cues assign each candidate to a clinical phase—acute, subsequent, or sequela. "3 months after" assigns the infarction concept to the sequela phase. The hemiparesis, being a current residual condition, is classified as an active finding in the context of sequela.

  4. Excludes1/Excludes2 Graph Traversal: Every candidate code pair is checked against the decision graph. The graph is a precomputed adjacency structure derived from the FY 2026 ICD-10-CM Tabular List, updated quarterly from the CMS ICD-10-CM code set distribution. When I69.351 is in the candidate set, the graph marks all I60–I67 codes as Excludes1-prohibited. I63.512 and I63.50 are pruned from the candidate list.

  5. Specificity Maximization: Remaining candidates are ranked by specificity. The system prefers I69.351 (right dominant) over I69.359 (unspecified dominance) and prompts the provider if dominance is not documented.

  6. Add-On Code Prompting: The graph checks for "Use Additional Code" and "Code First" instructions. For I69.351, no additional code is structurally required, but the system checks whether a Z87.73 (personal history of TIA/cerebral infarction without residual deficits) is appropriate for any resolved deficits, or whether external cause codes apply.

  7. 277CA Pre-Validation: The final code set is validated against payer-specific relational edit tables. If any payer in the patient's coverage profile would reject the combination, the system flags it before sign-off.

  8. Provider Presentation: The cleaned, sequenced, validated code set is presented to the provider. Suppressed codes are logged in an audit trail but never shown as suggestions.

Graph Update Cadence

Update Trigger

Frequency

Scope

CMS FY ICD-10-CM addenda release

Annual (October 1)

Full graph rebuild: new codes, deleted codes, revised Excludes notes

CMS quarterly code updates

Quarterly (Jan, Apr, Jul, Oct)

Incremental additions and revisions

Clearinghouse edit table refresh

Monthly

277CA relational edit additions from top 10 clearinghouses

Payer-specific LCD/NCD changes

As published

Coverage-specific code validity rules

5. FHIR R4 Signal Integration: Acute vs. Sequela, Poisoning vs. Adverse Effect

NLP temporal cues ("3 months after," "history of," "prior") are powerful but insufficient alone. A provider might write "stroke" without any temporal qualifier—does this mean an active stroke or a historical one? Scribing.io resolves this ambiguity by ingesting structured FHIR R4 resources from the connected EHR.

Critical FHIR R4 Signals

FHIR Resource / Field

Signal Used

Coding Impact

Condition.clinicalStatus

"active" vs. "resolved" vs. "inactive"

Active → acute-phase codes eligible. Resolved/inactive → sequela codes only.

Condition.category

"encounter-diagnosis" vs. "problem-list-item"

Encounter-diagnosis = being actively addressed this visit. Problem-list-item = background context; may not warrant a claim code.

Condition.onsetDateTime

Date of original event

Compared to Encounter.period.start to calculate elapsed time. >30 days for stroke → sequela classification per WHO ICD classification conventions.

Condition.recordedDate

When the condition was first entered in the EHR

Fallback when onsetDateTime is absent. System flags this fallback in provenance logging and prompts provider to confirm temporal classification.

Encounter.period

Current encounter start/end

Secondary temporal anchor. When Condition.onset is absent, the system compares Encounter.period to Condition.recordedDate to estimate acuity.

MedicationStatement

Active medications

Critical for T36–T50 adjudication: presence of the implicated drug in MedicationStatement with status "active" differentiates adverse effect (prescribed, taken correctly) from poisoning (underdosing, overdose, wrong substance).

The Fallback Protocol When Condition.onset Is Absent

Not every EHR populates Condition.onsetDateTime reliably. When this field is null, Scribing.io does not guess. It executes a defined fallback chain:

  1. Check Condition.recordedDate — if available, use as onset proxy with a provenance flag

  2. Check Encounter.period.start relative to the Condition's first appearance in the problem list

  3. Apply NLP temporal cues from the current note as a tiebreaker

  4. If all signals are ambiguous, prompt the provider: "Is this an active acute condition or a sequela/historical condition? Your selection determines code phase classification."

Every fallback step is logged with provenance metadata per FHIR R4 Provenance resource specifications. This audit trail is critical for CDI teams reviewing coding decisions post-encounter.

Poisoning vs. Adverse Effect: A FHIR-Dependent Distinction

The T36–T50 code range requires distinguishing between adverse effects (correct substance, correct dose, correctly administered) and poisoning (wrong substance, overdose, or underdose). The 7th character differs: "A" for initial encounter, "D" for subsequent, "S" for sequela—but the 5th and 6th characters encode intent (accidental, intentional self-harm, assault, undetermined). MedicationStatement.status = "active" combined with MedicationStatement.dosage alignment with the prescribed regimen signals adverse effect. A discrepancy signals potential poisoning, which triggers a different code structure and requires an external cause code.

6. 7th-Character Adjudication for Injuries (S00–T88) and Drug Events (T36–T50)

Chapter 19 codes (S00–T88) mandate a 7th character indicating encounter type. Legacy auto-coders overwhelmingly default to "A" (initial encounter) because it requires no contextual reasoning. This creates two problems: incorrect 7th characters on follow-up visits (should be "D") and missing "S" (sequela) designations when the patient presents with late effects of an injury.

Scribing.io's 7th-Character Logic

7th Character

Definition (per OCG I.C.19.a)

Scribing.io Detection Method

A — Initial encounter

Active phase of treatment, regardless of provider. Patient is receiving active treatment for the condition.

Condition.clinicalStatus = "active" AND no prior encounter for this condition in Encounter history, OR provider documents "initial evaluation" or active treatment plan

D — Subsequent encounter

Patient receiving routine care during healing phase. Cast change, medication adjustment, follow-up.

Condition.clinicalStatus = "active" AND prior encounter(s) exist for this condition AND note indicates ongoing treatment (not sequela)

S — Sequela

Complications or conditions arising as a direct result of a condition that has resolved.

Condition.clinicalStatus = "resolved" or "inactive" AND current note documents a residual condition causally linked to the original injury/event. Temporal NLP cues reinforce.

For T36–T50 drug events, the 7th character follows the same A/D/S logic, but the code structure adds complexity: the system must also assign the correct 5th/6th characters for intent (accidental T36.0X1A, intentional self-harm T36.0X2A, assault T36.0X3A, undetermined T36.0X4A, adverse effect T36.0X5A, underdosing T36.0X6A). Scribing.io cross-references MedicationStatement data, provider documentation of intent, and RxNorm medication classification to assign the correct combination before the code reaches the suggestion list.

7. Pre-Signature Validation: Blocking Mutually Exclusive Pairs and Prompting Required Add-Ons

The final validation layer runs after the provider reviews the suggested code set but before electronic signature. This is the last gate before claim generation.

Mutually Exclusive Pair Blocking

The system maintains a live matrix of Excludes1 code pairs. Common high-frequency conflicts blocked by Scribing.io include:

Code Pair

Conflict Type

Clinical Scenario

I69.* + I63.*

Excludes1

Sequela of stroke + acute stroke (the scenario in this playbook)

E10.* + E11.*

Excludes1

Type 1 diabetes + Type 2 diabetes on same claim

J44.* + J45.*

Conditional Excludes1

COPD + Asthma (permitted only with J44.* that includes asthma component per OCG updates)

F32.* + F33.*

Excludes1

Single depressive episode + recurrent depressive disorder

O30.* + O80/O82

Excludes1

Multiple gestation + single liveborn delivery codes

Required Add-On Code Prompting

When the validated code set triggers a "Use Additional Code" instruction, Scribing.io does not silently ignore it. It prompts the provider with specific, contextually appropriate options:

  • Obstetric codes (O09–O9A): Prompts for Z3A.* gestational week code if not already captured. Prompts for fetus identification (0–9) for maternal codes affecting specific fetus.

  • Infectious disease codes: Prompts for organism code (B95–B97) when "Use Additional Code" instruction specifies infectious agent identification.

  • External cause codes (V00–Y99): Prompts for cause, place of occurrence (Y93.*), activity (Y93.*), and external cause status (Y99.*) when injury codes are present.

  • Neoplasm codes: Prompts for Z85.* (personal history) when C codes are present for a site with prior malignancy documentation, or checks for appropriate "Code First" underlying disease instruction.

Each prompt includes the specific OCG section reference so the provider understands why the code is being requested—not just that it is needed.

8. Cross-Specialty Impact: From Neurology to Obstetrics to Primary Care

The I69/I63 conflict is the exemplar, but Excludes1/Excludes2 enforcement failures affect every specialty. Here is how the same decision-graph architecture applies across the clinical enterprise:

Neurology and Stroke Medicine

Beyond the I69/I63 pairing, neurology encounters frequently involve G43.* (migraine) codes with Excludes1 conflicts against G44.* (other headache syndromes). The temporal distinction between acute migraine with aura (G43.1*) and chronic migraine (G43.7*) requires the same FHIR-informed temporal classification that distinguishes acute stroke from sequela.

Endocrinology and Primary Care

E10.* (Type 1 diabetes) and E11.* (Type 2 diabetes) carry a mutual Excludes1. This seems obvious—a patient has one type or the other—but documentation ambiguity is rampant. Notes that reference "diabetes" without specifying type, combined with insulin use, lead legacy auto-coders to suggest both. Scribing.io resolves this by checking MedicationStatement for insulin + C-peptide lab results in the FHIR record, and prompting the provider for type specification when ambiguous.

Obstetrics

Obstetric coding (O00–O9A) is among the most Excludes1-dense areas of ICD-10-CM. The system must enforce trimester-specific code selection, gestational week add-ons (Z3A.*), fetus identifiers, and the critical distinction between conditions complicating pregnancy versus incidental conditions during pregnancy. Missing the Z3A.* add-on code is a leading cause of obstetric claim rejections per AHA Coding Clinic guidance.

Psychiatry

The F32.*/F33.* Excludes1 (single episode vs. recurrent depression) is a high-frequency error in behavioral health documentation. Scribing.io's problem-list integration via FHIR Condition resources automatically determines recurrence by checking for prior depressive episodes in the longitudinal record, rather than relying solely on the current note's language.

Orthopedics and Emergency Medicine

The 7th-character adjudication engine has its highest-volume impact in these specialties. Every S-code and T-code requires A/D/S classification. Emergency departments disproportionately generate "A" encounters; orthopedic follow-ups disproportionately generate "D" encounters. When a patient transitions from ED to orthopedic follow-up, the 7th character must change—but legacy systems that lack encounter-history awareness often carry forward the original "A" indefinitely.

Enterprise-Wide Metrics

Metric

Before Scribing.io (Industry Benchmark)

After Scribing.io Implementation

Excludes1 hard edit rate

3.2–4.8% of auto-coded claims

<0.15% (residual cases from incomplete EHR data)

7th-character error rate (S00–T88)

8–12% (most commonly "A" applied to subsequent encounters)

<0.9%

Average days to clean claim

4.2 days (includes rework cycle)

0.3 days (same-session submission)

CDI query rate for code conflicts

6.1 queries per 100 encounters

0.8 queries per 100 encounters

Add-on code capture rate (Z3A.*, external cause)

61–68%

94–97%

The bottom line for CDI Directors: Excludes1/Excludes2 enforcement is not a feature. It is the minimum viable requirement for any AI auto-suggest system that touches revenue cycle. If your current tool cannot block I69.351 + I63.50 before the provider signs the note—while simultaneously prompting for dominance laterality and checking your payer's specific 277CA edit table—it is generating preventable rework at scale.

Book a 15-minute demo with Scribing.io to see the Excludes1/Excludes2 engine with 277CA hard-edit simulation prevent I69+I63 conflicts in real time and auto-prompt required add-on codes before provider sign-off. Bring your highest-denial code pairs. We will run them live.

Still not sure? Book a free discovery call now.

Frequently

asked question

Answers to your asked queries

Can we get started today?

Can I edit or review notes before they go into my EHR?

Does Scribing.io work with telehealth and video visits?

Is Scribing.io HIPAA compliant?

Is patient data used to train your AI models?

Still not sure? Book a free discovery call now.

Frequently

asked question

Answers to your asked queries

Can we get started today?

Can I edit or review notes before they go into my EHR?

Does Scribing.io work with telehealth and video visits?

Is Scribing.io HIPAA compliant?

Is patient data used to train your AI models?

Still not sure? Book a free discovery call now.

Frequently

asked question

Answers to your asked queries

Can we get started today?

Can I edit or review notes before they go into my EHR?

Does Scribing.io work with telehealth and video visits?

Is Scribing.io HIPAA compliant?

Is patient data used to train your AI models?

Clinical Precision.
Zero Documentation Debt

Finish Your Charts - Go Home on Time.

Clinical Precision.
Zero Documentation Debt

Finish Your Charts - Go Home on Time.

Clinical Precision.
Zero Documentation Debt

Finish Your Charts - Go Home on Time.