Verified

ICD-10 K44.9: Diaphragmatic Hernia Billing Guide for GI Surgeons Bridge Surgical Necessity with Reflux Evidence

Master ICD-10 K44.9 billing for diaphragmatic hernia. GI surgeon guide to pairing reflux evidence with prior auth, reducing denials & proving surgical necessity.

Medical billing guide for ICD-10 K44.9 diaphragmatic hernia showing anatomical diagram alongside clinical documentation for GI surgical coding

ICD-10 K44.9: Diaphragmatic Hernia Billing Guide — Bridging Surgical Necessity with Objective Reflux Evidence

Operations Playbook v6 · Lead Clinical Consultant, Scribing.io · Updated January 2026

Table of Contents

  • 1. The Surgical Necessity Gap: Why K44.9 Alone Fails Prior Auth

  • 2. Technical Reference: ICD-10 Documentation Standards for K44.9 and K21.0

  • 3. The Objective Evidence Chain Payers Actually Require

  • 4. Scribing.io Clinical Logic: From Denial to Same-Day Authorization

  • 5. Payer-Specific Evidence Freshness Windows and Compliance Rules

  • 6. FHIR and X12 Attachment Architecture for Prior Authorization

  • 7. Denial Pattern Analysis: K21.9 vs. K21.0 and the Revenue Impact

  • 8. Implementation Workflow: Putting It All Together

A 58-year-old male is scheduled for laparoscopic hiatal hernia repair with fundoplication. The clinic note documents "severe heartburn, failed PPI," and the billing team preps the claim with K44.9 + K21.9. The payer denies the 278 prior authorization for lack of objective injury documentation. The OR slot is lost. The practice absorbs an $11,400 reversal—surgeon time, anesthesia hold, nursing prep, all unrecoverable. This scenario repeats across foregut surgery practices dozens of times per quarter, and every instance traces to the same root cause: the claim proved a hernia existed but never proved the hernia was causing measurable, surgery-grade damage.

Scribing.io exists to kill that gap. The platform ingests prior EGD reports, ambulatory pH-impedance studies, and high-resolution manometry, extracts the objective metrics payers require, enforces evidence freshness windows, corrects K21.9 to K21.0 when endoscopic esophagitis is documented, auto-assembles the evidence packet, and pushes it through FHIR/X12 (278 + 275) channels with surgeon attestation attached. This playbook details the exact clinical logic, code-pairing strategy, and transmission architecture behind that workflow—so you understand not just what the platform does, but why each step matters to your authorization rate and your OR schedule. Cross-reference every code discussed here against the Scribing.io ICD-10 Documentation Library for real-time validation.

1. The Surgical Necessity Gap: Why K44.9 Alone Fails Prior Auth

Most billing references for K44.9—including the CMS MS-DRG Definitions Manual—treat the code as a line item. CMS correctly classifies K44.9 under MDC 06 (Diseases and Disorders of the Digestive System) and assigns it to DRG 391/392 (Esophagitis, Gastroenteritis and Miscellaneous Digestive Disorders with/without MCC). What it does not address is the clinical-to-administrative gap that causes the majority of prior authorization denials for elective hiatal hernia repair with fundoplication.

The core problem: K44.9 documents the anatomical finding—a diaphragmatic hernia exists. It communicates nothing about whether that hernia is causing objective, measurable reflux injury. Payers reviewing a 278 prior authorization request for CPT 43281 (Laparoscopic fundoplication) or 43282 (Laparoscopic paraesophageal hernia repair with fundoplication) do not deny because the hernia is undocumented. They deny because the submitted record fails to demonstrate that the hernia necessitates surgical intervention rather than continued medical management.

Prior authorization denial rates for elective fundoplication with hiatal hernia repair run between 18% and 34% when the documentation relies on K44.9 paired only with symptom codes (R12 Heartburn, K21.9 GERD without esophagitis) and narrative notes stating "failed PPI therapy." That range is derived from practice-level claims data across multi-site foregut surgery groups; it aligns with the broader prior authorization burden documented in the AMA's 2025 Prior Authorization Physician Survey, which found that 94% of physicians report care delays attributable to prior auth and 1 in 3 physicians report a serious adverse event resulting from prior auth delays.

The gap every other billing guide misses: Surgical necessity for hernia repair is not established by the hernia code. It is established by proving the hernia causes objective reflux damage that has not responded to maximal medical therapy. The hernia is the anatomy. The esophagitis, the abnormal acid exposure, the intact peristalsis confirming fundoplication candidacy—that is the indication.

Anchor Truth: To justify repair, the authorization must link K44.9 to objective reflux damage—Grade C or D esophagitis on the Los Angeles classification, abnormal acid exposure on ambulatory pH testing, or other measurable mucosal injury—rather than relying on patient-reported heartburn alone.

2. Technical Reference: ICD-10 Documentation Standards for K44.9 and K21.0

The precise clinical and coding distinctions between K44.9 and the codes it must be paired with are foundational to building a denial-proof claim. Below is the complete code family relevant to foregut surgery prior authorization, with documentation requirements and prior auth implications mapped.

K44.9 and Related Code Reference — FY2025–2027

ICD-10-CM Code

Description

Clinical Documentation Requirements

DRG Assignment (MDC 06)

Prior Auth Implications

K44.9

Diaphragmatic hernia without obstruction or gangrene

Anatomical finding on EGD, barium swallow, or CT. Must specify type (sliding vs. paraesophageal) and size when available.

DRG 391 (with MCC) / DRG 392 (without MCC)

Insufficient alone for surgical authorization. Documents the anatomical defect only.

K44.0

Diaphragmatic hernia with obstruction, without gangrene

Evidence of mechanical obstruction: dysphagia with radiographic or endoscopic confirmation, gastric volvulus imaging.

DRG 391/392

Stronger surgical justification due to obstruction. Still benefits from objective reflux data.

K21.0

Gastro-esophageal reflux disease with esophagitis

EGD-confirmed esophagitis with LA Classification grade (A–D). Grade C/D provides strongest surgical justification.

DRG 391/392

Critical pairing code. Transforms K44.9 from anatomical finding to surgical indication.

K21.9

Gastro-esophageal reflux disease without esophagitis

Symptom-based: heartburn, regurgitation, patient-reported. No objective mucosal injury documented.

DRG 391/392

Denial trigger. Payers interpret as "symptoms only" and request objective testing.

K22.70

Barrett's esophagus without dysplasia

EGD with biopsy confirming intestinal metaplasia.

DRG 391/392

Significantly strengthens case for anti-reflux surgery when paired with K44.9.

K22.0

Achalasia of cardia

HRM-confirmed per Chicago Classification v4.0.

DRG 391/392

Contraindication to fundoplication. Must be excluded before auth request.

For the complete code family, cross-references, and Excludes1/Includes annotations, see K44.9 - Diaphragmatic hernia without obstruction or gangrene; K21.0 - Gastro-esophageal reflux disease with esophagitis.

Specificity Requirements That Block Denials

The ICD-10-CM Official Guidelines for Coding and Reporting direct coders to assign the most specific code supported by the medical record. K44.9 is the unspecified default within the K44 family—it does not differentiate between sliding and paraesophageal hernias, nor does it capture size. When the EGD or barium swallow documents a 4-cm sliding hiatal hernia with the GEJ at 36 cm, that detail must appear in the clinical note. Payer medical directors reviewing prior authorizations routinely cite missing hernia characterization as grounds for additional information requests, which delay authorization by 5–14 business days.

Excludes1 notes: K44 excludes congenital diaphragmatic hernia (Q79.0) and congenital hiatus hernia (Q40.1). Pediatric or congenital cases coded as K44.9 will be flagged and returned.

Scribing.io enforces these specificity rules at the point of code selection. When a user assigns K44.9, the platform queries the linked EGD and radiology reports for hernia type and size. If that data exists in the source document but was not captured in the clinical note, the system surfaces a structured prompt requiring the surgeon to confirm or amend the characterization before the authorization packet is assembled.

3. The Objective Evidence Chain Payers Actually Require

This section addresses the gap in every published billing guide for K44.9: the specific diagnostic evidence hierarchy that payer medical directors evaluate when adjudicating prior authorization for hiatal hernia repair with fundoplication. Most guides say "document medical necessity." They do not specify what constitutes medical necessity in the eyes of a utilization management reviewer. Based on current major commercial payer medical policies (Aetna CPB 0249, UnitedHealthcare MPC 2025T0569U, Cigna CGP 0088) and Medicare LCD/NCD frameworks, the evidence chain follows a three-tier hierarchy:

Tier 1: Endoscopic Confirmation of Mucosal Injury (Required)

  • Upper endoscopy (EGD) documenting esophagitis using the Los Angeles Classification, as updated in the Lyon Consensus 2.0 (Gut, 2024)

  • LA Grade C (mucosal breaks continuous between tops of ≥2 mucosal folds, not circumferential) or Grade D (circumferential mucosal break) provide unambiguous surgical justification

  • LA Grade A/B may be sufficient when combined with Tier 2 evidence, but multiple commercial payers require Grade C+ for elective fundoplication authorization as a standalone endoscopic finding

  • The EGD must document the hernia itself: location of the Z-line relative to the diaphragmatic hiatus, hernia size in centimeters, and hernia type

  • Barrett's esophagus (K22.70/K22.71) with biopsy-confirmed intestinal metaplasia independently strengthens the surgical case

Tier 2: Ambulatory Reflux Monitoring (Required by Most Commercial Payers)

  • 24-hour pH-impedance study or wireless Bravo pH monitoring (48–96 hour)

  • Key metric: DeMeester composite score >14.72 (abnormal acid exposure), as established in the original DeMeester normative dataset and reaffirmed in Lyon Consensus 2.0

  • Total acid exposure time (AET) >6% is considered conclusive for pathological reflux; AET 4–6% is inconclusive and requires corroborating evidence

  • Impedance data documenting non-acid reflux events is relevant when patients are tested on PPI therapy

  • Off-PPI testing is preferred by most payers for initial diagnosis; on-PPI testing is reserved for the specific clinical question of refractory reflux

Tier 3: Esophageal Motility Assessment (Required to Exclude Contraindications)

  • High-resolution manometry (HRM) interpreted per the Chicago Classification v4.0 (Neurogastroenterology & Motility, 2021)

  • Primary purpose: exclude achalasia (Types I, II, III) and absent contractility—both are contraindications to Nissen fundoplication

  • Secondary purpose: identify ineffective esophageal motility (IEM), which may shift the surgical plan from Nissen (360°) to Toupet (270°) partial fundoplication

  • Documentation must include an explicit statement: "No evidence of achalasia or major disorder of peristalsis" or clinical equivalent

Required Evidence Chain for K44.9 + K21.0 Surgical Authorization

Evidence Tier

Study

Key Metric

Threshold for Surgical Justification

Typical Payer Freshness Window

Tier 1

EGD with LA Classification

Esophagitis Grade

LA Grade C or D (Grade A/B acceptable with Tier 2 support)

Within 12 months of auth request

Tier 2

24-hr pH-Impedance or Bravo

DeMeester Score / % AET

DeMeester >14.72; AET >6%

Within 6–12 months of auth request

Tier 3

High-Resolution Manometry

Chicago Classification v4.0 diagnosis

No achalasia; intact or fragmented peristalsis

Within 12 months of auth request

Supporting

Failed medical therapy documentation

PPI trial duration and dose

Minimum 8 weeks double-dose PPI with persistent symptoms

Within clinical note; no strict date window

4. Scribing.io Clinical Logic: From Denial to Same-Day Authorization

Return to the index case: 58-year-old male, laparoscopic hiatal hernia repair + fundoplication. The clinic note says "severe heartburn, failed PPI." The billing team codes K44.9 + K21.9. The 278 is denied. Here is the step-by-step clinical logic breakdown showing how Scribing.io prevents this outcome.

Step 1: Document Ingestion and Structured Data Extraction

The platform ingests the patient's complete foregut workup from the connected EHR or uploaded documents:

  1. Prior EGD report: Extracted findings — LA Grade C esophagitis at 35–40 cm, 4-cm sliding hiatal hernia with Z-line at 36 cm, no Barrett's on biopsy

  2. 24-hour pH-impedance report: Extracted metrics — DeMeester composite score 38.2, total AET 14.8%, 62 reflux episodes (48 acidic, 14 weakly acidic). Study date: 4 months prior

  3. HRM report: Extracted diagnosis — Normal motility per Chicago Classification v4.0, median IRP 8.2 mmHg (normal <15), intact peristalsis with DCI >450 mmHg·cm·s in >70% of swallows. No achalasia. Study date: 5 months prior

Each document is parsed using clinical NLP trained on foregut-specific terminology. The system does not rely on free-text keyword matching; it extracts structured data elements (LA grade, DeMeester score, IRP value, DCI, peristaltic integrity) and maps them to defined clinical thresholds.

Step 2: Code Correction — K21.9 → K21.0

The platform detects that the billing team assigned K21.9 (GERD without esophagitis). It cross-references this against the extracted EGD finding: LA Grade C esophagitis is documented. K21.9 is incorrect—the record supports K21.0 (GERD with esophagitis). The system flags this as a critical code mismatch and presents the surgeon with a structured correction prompt:

"EGD dated [date] documents LA Grade C esophagitis at 35–40 cm. Current code K21.9 (GERD without esophagitis) does not reflect documented mucosal injury. Recommend K21.0 (GERD with esophagitis). Accept correction?"

This is not an automated override. The surgeon or authorized provider must confirm. Once confirmed, K21.0 replaces K21.9 on the claim and authorization request.

Step 3: Evidence Chain Assembly and Threshold Validation

With K44.9 + K21.0 now correctly paired, the platform assembles the objective evidence chain:

Evidence Chain Validation — Index Case

Evidence Tier

Required Threshold

Patient Value

Status

Tier 1: EGD Esophagitis Grade

LA Grade C or D

LA Grade C

✅ Met

Tier 2: DeMeester Score

>14.72

38.2

✅ Met

Tier 2: AET

>6%

14.8%

✅ Met

Tier 3: Achalasia Excluded

IRP <15, intact peristalsis

IRP 8.2, intact peristalsis

✅ Met

Supporting: Failed PPI Trial

≥8 weeks double-dose

Documented in clinic note

✅ Met

Evidence Freshness (pH study)

Within 180–365 days per payer

4 months (≈120 days)

✅ Current

All tiers pass. No gaps. The system proceeds to packet assembly.

Step 4: Surgeon Attestation Generation

The platform generates a structured attestation statement for the surgeon's electronic signature. This is not a generic letter of medical necessity. It is a payer-formatted document that maps each evidence element to the specific medical policy criteria for the target payer. The attestation explicitly states: the patient has a documented diaphragmatic hernia (K44.9), objective reflux injury (K21.0, LA Grade C), abnormal acid exposure (DeMeester 38.2), intact peristalsis excluding achalasia, and has failed adequate medical therapy.

Step 5: Authorization Submission

The completed packet—278 request with 275 clinical attachments—is transmitted electronically. Authorization is approved within 24 hours. The claim pays on first pass.

See a live build of our Objective Reflux Evidence Linker: auto-pair K44.9 with K21.0, enforce payer-specific 180–365 day evidence windows, and submit FHIR/X12 (278 + 275) prior-auth packets that pass on first review.

5. Payer-Specific Evidence Freshness Windows and Compliance Rules

One of the most common causes of "soft denials"—authorization requests returned for additional information rather than outright denied—is expired evidence. A pH study performed 14 months ago may be clinically valid, but if the payer's medical policy specifies a 12-month freshness window, the utilization management reviewer will reject it regardless of the results.

Freshness windows are not standardized. They vary by payer, by study type, and sometimes by plan tier. Scribing.io maintains a continuously updated payer policy rules engine that maps these windows for each major commercial and Medicare Advantage plan.

Representative Evidence Freshness Windows by Payer Category (2025–2026)

Payer Category

EGD with Biopsy

pH-Impedance / Bravo

High-Resolution Manometry

PPI Failure Documentation

Traditional Medicare (LCD)

12 months

12 months

12 months

No strict window; must be recent

UnitedHealthcare Commercial

12 months

6 months

12 months

Within 6 months

Aetna Commercial

12 months

12 months

12 months

8-week trial documented

Cigna Commercial

12 months

6 months

12 months

12-week trial for some plans

BCBS (varies by state)

12 months

6–12 months

12–18 months

Varies

When Scribing.io detects a study date that falls outside the applicable payer's freshness window, it blocks the authorization packet from submission and alerts the practice: "pH-impedance study dated [date] exceeds [Payer] 180-day freshness requirement. Study must be repeated or authorization will be denied. Recommend scheduling repeat study." This prevents the silent failure mode where a packet is submitted, sits in review for 7–10 days, and is returned for expired evidence—losing the OR slot in the process.

6. FHIR and X12 Attachment Architecture for Prior Authorization

The CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), with enforcement deadlines in 2026–2027, requires payers to implement FHIR R4-based Prior Authorization APIs. This rule fundamentally changes how clinical evidence is attached to authorization requests. Practices that are still faxing clinical notes will face increasing delays as payers transition to electronic adjudication pipelines that expect structured data.

The Transmission Architecture

Scribing.io generates two coordinated electronic transactions for each foregut surgery prior authorization:

  1. X12 278 (Health Care Services Review – Request): The formal prior authorization request containing patient demographics, provider information, CPT codes (43281/43282), ICD-10 codes (K44.9 + K21.0), and requested service dates

  2. X12 275 (Additional Information to Support a Health Care Claim or Encounter): The clinical attachment transaction carrying the actual evidence documents—EGD report, pH-impedance results, HRM report, and surgeon attestation

On the FHIR side, the platform constructs resources according to the HL7 FHIR R4 specification:

  • FHIR Condition resources for K44.9 and K21.0, linked via Condition.evidence to the supporting Observation resources

  • FHIR Observation resources carrying structured data: LA Grade (valueCodeableConcept), DeMeester score (valueQuantity: 38.2), AET (valueQuantity: 14.8%), IRP (valueQuantity: 8.2 mmHg), peristaltic integrity assessment

  • FHIR DocumentReference resources encapsulating the source PDF reports (EGD, pH study, HRM) for payers that require both structured and unstructured data

  • FHIR Claim (prior authorization profile) binding the Condition and Observation resources to the service request

The critical architectural detail: Condition.evidence.detail for the K44.9 Condition resource references the Observation resource containing the LA Grade C finding. This creates a machine-readable link between the hernia diagnosis and the objective reflux injury. When the payer's adjudication system parses this bundle, it can programmatically verify that the surgical indication is backed by objective evidence—without a human reviewer reading through faxed PDF pages.

7. Denial Pattern Analysis: K21.9 vs. K21.0 and the Revenue Impact

The single-character difference between K21.9 and K21.0 represents the most consequential coding decision in foregut surgery billing. Here is what the denial data shows:

Denial Rate and Revenue Impact: K21.9 vs. K21.0 Pairing with K44.9

Code Pairing

Estimated Prior Auth Denial Rate

Average Days to Resolution (if appealed)

Average Revenue at Risk per Denial (Facility + Professional)

Root Cause

K44.9 + K21.9

24–34%

28–45 days

$9,800–$14,200

No objective mucosal injury documented; payer requests EGD/pH data

K44.9 + K21.0 (without attachments)

12–18%

14–21 days

$9,800–$14,200

Code implies esophagitis exists but no supporting evidence attached

K44.9 + K21.0 (with full evidence chain)

2–5%

N/A (first-pass approval)

N/A

Residual denials due to policy exclusions or benefit limitations

The revenue math is unforgiving. A practice performing 8 elective fundoplications per month with a 28% denial rate on K44.9 + K21.9 loses approximately 2.2 procedures per month to authorization delays. At an average combined facility + professional reimbursement of $11,400 per case, that is $25,080 per month in delayed or lost revenue—$300,960 annually. Even if 60% of those denials are eventually overturned on appeal, the appeal process consumes staff time (estimated 45–60 minutes per appeal per the AMA prior authorization data), delays patient care, and disrupts OR scheduling.

Switching from K21.9 to K21.0 with a complete evidence chain drops the denial rate to the 2–5% range. That is not a marginal improvement. It is the difference between a sustainable foregut surgery practice and one that is hemorrhaging revenue to administrative friction.

The K21.9 Trap: Why It Keeps Happening

K21.9 persists on claims because of a documentation workflow failure, not a coding knowledge failure. The coder assigns K21.9 because the clinic note says "GERD" or "heartburn" without referencing the EGD findings. The EGD report—which documents LA Grade C esophagitis—sits in a separate section of the EHR. The coder codes from the encounter note, not the diagnostic workup. The surgeon knows the esophagitis is there. The coder does not, because the surgeon's note did not carry that detail forward.

Scribing.io eliminates this failure mode by cross-referencing the assigned code against all ingested diagnostic reports at the point of claim assembly. If K21.9 is assigned and an EGD in the patient's record documents any grade of esophagitis, the system flags the mismatch. Every time.

8. Implementation Workflow: Putting It All Together

Below is the end-to-end workflow for a foregut surgery practice implementing Scribing.io's Objective Reflux Evidence Linker for K44.9-related prior authorizations.

Implementation Workflow: Scribing.io Foregut Surgery Authorization Pipeline

Phase

Action

Owner

Scribing.io Function

Outcome

1. Patient Workup

EGD, pH-impedance, and HRM are completed and resulted in EHR

Surgeon / GI Lab

Automated ingestion via EHR integration (FHIR or HL7v2 feed)

Structured data extracted and stored in patient's evidence profile

2. Surgical Decision

Surgeon documents plan for laparoscopic fundoplication ± hernia repair

Surgeon

Platform detects CPT 43281/43282 on surgical scheduling and triggers auth workflow

Authorization pipeline initiated automatically

3. Code Validation

Assigned ICD-10 codes cross-referenced against diagnostic evidence

Scribing.io (automated)

K21.9 → K21.0 correction prompt if esophagitis is documented; K22.0 exclusion check against HRM

Correct code pairing confirmed by provider

4. Evidence Freshness Check

Study dates validated against payer-specific freshness windows

Scribing.io (automated)

Payer rules engine applies 180/365-day windows; blocks submission if expired

Expired studies flagged; repeat study scheduled if needed

5. Evidence Packet Assembly

Structured attestation + clinical attachments compiled

Scribing.io (automated) + Surgeon (attestation signature)

FHIR bundle constructed; X12 278 + 275 transactions generated

Complete, payer-ready authorization packet

6. Submission

Electronic transmission to payer

Scribing.io (automated)

FHIR API or X12 clearinghouse submission per payer capability

Authorization request received by payer with all evidence attached

7. Tracking & Escalation

Response monitoring; escalation if no response within payer SLA

Scribing.io (automated) + Auth staff

Real-time 278 response monitoring; automated follow-up triggers

Authorization approved or escalated within contractual timeframe

What Changes for the Surgeon

The surgeon's workflow change is minimal: confirm the code correction prompt (one click) and apply an electronic signature to the attestation (one click). Total added time per case: under 90 seconds. The platform handles everything else—evidence extraction, threshold validation, freshness enforcement, packet assembly, transmission, and tracking.

What Changes for the Billing Team

The billing team no longer manually assembles clinical attachments, no longer faxes records to payer UM departments, no longer tracks evidence dates on spreadsheets, and no longer discovers K21.9/K21.0 mismatches after a denial has already been issued. The platform shifts authorization from a reactive, post-denial correction process to a proactive, pre-submission validation process.

What Changes for Revenue

First-pass authorization rates for K44.9 + fundoplication claims move from the 66–76% range (K21.9 pairing, no structured attachments) to the 95–98% range (K21.0 pairing, full evidence chain, electronic submission). For a practice performing 8–12 elective fundoplications per month, this translates to the recovery of 2–4 OR slots per month that were previously lost to authorization delays—$22,800 to $45,600 in monthly revenue protected.

The gap between K44.9 as an anatomical code and K44.9 as a surgical authorization is not a coding problem. It is an evidence assembly problem. Solve the evidence chain, and the authorization follows. That is what Scribing.io builds: the chain.

Frequently

asked question

Answers to your asked queries

How does the AI medical scribe work?

Does Scribing.io support ICD-10 and CPT codes?

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?

How do I get started?

Frequently

asked question

Answers to your asked queries

How does the AI medical scribe work?

Does Scribing.io support ICD-10 and CPT codes?

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?

How do I get started?

Frequently

asked question

Answers to your asked queries

How does the AI medical scribe work?

Does Scribing.io support ICD-10 and CPT codes?

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?

How do I get started?

Didn’t find what you’re looking for?
Book a call with our AI experts.

Didn’t find what you’re looking for?
Book a call with our AI experts.

Didn’t find what you’re looking for?
Book a call with our AI experts.