The Best AI Medical Scribes for Urology (2025)

Why AI Scribes Matter in Urology

Urologists don’t have the luxury of predictable days. You’re moving between high-volume clinic visits, procedure blocks, and constant follow-ups on imaging, labs, pathology, PSA trends, UA cultures, CT results, and cystoscopy findings. Each of which requires different documentation.

A LUTS evaluation doesn’t follow the same workflow as a hematuria workup. A cystoscopy note looks nothing like a stone management follow-up. Unlike more templated specialties like primary care, urology documentation is highly variable and requires a great deal of longitudinal patient context. That takes time and creates a significant clinician burden.

The complexity doesn’t stop at variability. Documentation needs to connect a lot of dots — from longitudinal PSA tracking to last year's biopsy results to what happened in the OR last week. Charting requires far more than just recording today's encounter in isolation. 

Ambient AI medical scribes promise to capture the conversation and draft structured medical notes so you can stay focused on patients instead of documentation. But producing a clinically accurate note isn’t the same as just transcribing an encounter. If an AI scribe doesn’t integrate deeply enough to pull forward longitudinal patient context, or can’t properly push data into the correct EHR fields, you’re likely manually copy-pasting and reformatting. In that case, you’ve just added another step to your workflow instead of removing one.

The right AI scribe for urology must understand urology-specific workflows, integrate seamlessly with your EHR, automatically surface and incorporate relevant patient history, and produce documentation that’s ready to sign right in your EHR.

Core Evaluation Criteria for an AI Medical Scribe for Urology

Not all AI scribes are the same. When considering ambient AI for urology, here’s what to prioritize:

Clinical Accuracy & Specialty Adaptability

General accuracy has become a table stake for ambient AI. When choosing an AI scribe for urology, prioritize accuracy within your specialty in particular. AI medical scribes for urology should:

• Understand urology-specific terminology, templates, and procedure structure
• Produce coherent SOAP notes with accurate A/P and procedure details, and the ability to pull forward past data into the note and shape it to the context of today’s visit
• Handle in-person, telehealth, and procedure visits; supports longitudinal nuance (e.g., PSA kinetics, imaging follow-up)

Coding Intelligence and Billing Readiness

Consider how well the AI solution converts clinical details into compliant, audit-ready documentation. The best AI scribes for urology should:

• Accurately extract E/M and ICD-10 codes based on the note content
• Document HCC (when applicable)
• Recognize urology-specific procedures (cystoscopy, TURP, vasectomy, etc.) and suggest appropriate billing codes and modifiers for higher reimbursement
• Handle multiple codes per visit and global periods for post-op visits
• Flag incomplete documentation that could lead to undercoding or compliance risk
• Link codes to their origin in the clinical conversation for transparency

Workflow Integration

Validate how deeply the solution integrates with your EHR and how reliably it moves discrete data into the right fields.

• Ability to sync documentation into the discrete fields of your EHR (problems, medications, allergies, vitals, procedure elements, etc.)
• True bi-directional integration: AI can access chart information, pull forward key information, and push updates back to the record
• Documentation should map to urology templates and include laterality, findings, and pathology status
• Support for legacy EHRs (Epic, athenahealth, eClinicalWorks) and specialty EHRs (ModMed, UroChart)

Customization & Control

Look for systems that adapt to each clinician’s style through implicit and explicit input so personalization improves without extra clicks.

• Review-driven customization: edits made in the platform trigger suggested adjustments for your review, then apply to the current and future notes
• Support existing urology templates for new patients, follow-ups, procedures, post-op visits and more
• Phrase banks/macros and smart triggers aligned to common scenarios (LUTS, hematuria workups, men’s health visits, etc.)
• Governance layers (organization > service line > clinician) help standardize rollout while preserving individual preferences

Privacy, Security & Compliance

Confirm that safeguards align with organization policies and regulatory expectations.

• HIPAA, Soc2; BAAs; clarity on PHI handling
• Encryption at rest/in transit; certifications and attestations vary by vendor
• Ownership of data/transcripts and auditability

Ease of Use & Support

Prioritize solutions that are easy to adopt and use, with support teams that are willing to help you every step of the way.

• Intuitive mobile and desktop workflows with minimal clicks
• Onboarding effort and go-live support; availability of at-the-elbow enablement
• Responsiveness of support; stability and reliability
• Stable capture and reliable sync in busy environments

ROI & Cost Considerations

Model the full picture of value, not only licensing terms.

• Pricing model (per practice/user/note/encounter)
• Tangible time savings (after-hours reduction, same-day closures)
• Documentation quality improvements and coding uplift
  
  

Head-to-Head Comparisons: What AI scribe is best for urology?

Below is a ranked list of the leading AI scribes based on their ability to handle urology's unique documentation challenges, from procedure notes and longitudinal PSA tracking to specialty-specific coding and deep EHR integration.

1. DeepScribe

DeepScribe is specifically designed for complex, procedure-heavy specialties like urology, with AI models trained to understand urology-specific terminology (from LUTS and PSA kinetics to cystoscopy findings), longitudinal care patterns, and the unique documentation demands of urology. DeepScribe is tuned to document common urology problems including BPH/LUTS, stones, ED, incontinence, hematuria, with HPI/ROS/PE sections that pull the clinically accurate urology-specific details from the clinical conversation.

DeepScribe integrates deeply with leading EHRs like Epic and athenahealth as well as specialty-specific EHRs like ModMed and UroChart, pulling forward relevant patient history, lab trends, imaging results, and prior assessments. This contextual awareness means new documentation reflects the full scope of each patient’s care journey, rather than just isolated encounters. Built-in coding intelligence automatically suggests E/M, ICD-10, and HCC codes, with support for procedure-specific billing codes and modifiers. 

Quality metrics include:

• 95.9% major defect free rate on audited notes
• 85% clinician adoption
• 16% increase in diagnoses per visit
• 22% increase in ICD-10 diagnosis code specificity
• 22% increase in comorbidities captured
• 45% increase in capture of social determinants of health (SDOH)

Best for: Urology practices that need purpose-built specialty AI with deep customization and comprehensive coding support.

2. Nuance DAX (Microsoft)

For urology practices, Nuance DAX offers enterprise-grade reliability and the familiarity of the Dragon ecosystem many urologists already know from dictation workflows. The platform excels in organizations that can invest in robust change management and have the IT resources to support deployment. While DAX provides ambient capture across clinic and procedure settings, it may require more implementation lift compared to solutions purpose-built for specialty workflows. The platform's strength lies in its enterprise scale and Microsoft backing, making it a solid choice for large urology groups within health systems already committed to the Nuance ecosystem.

Best for: Health systems with existing Nuance infrastructure and dedicated IT resources for enterprise deployment.

3. Abridge

Abridge focuses on fully ambient, real-time note generation with a distinctive "linked evidence" feature that maps documentation back to the original conversation—valuable for compliance and quality assurance in procedure-heavy specialties. Abridge's core strength lies in its deep Epic integration and multilingual support, making it a strong choice for health systems with established Epic workflows. The platform generates notes in real-time, uses contextual awareness to enrich patient documentation, and provides billing code suggestions. Organizations report high satisfaction with Abridge's Epic alignment and auditability features. For urology practices on Epic, Abridge offers strong ambient capabilities, though validating specialty-specific template support and procedure documentation during your pilot will ensure it meets urology's unique workflow needs.

Best for: Multi-specialty systems established on Epic

4. Suki

Suki positions itself as a versatile AI assistant that blends ambient documentation with coding suggestions and command-based features, backed by strong customer service and training support that helps practices get up to speed quickly.

For urology practices, Suki offers a balance of ambient capture, coding intelligence, and responsive support that can reduce documentation time across both clinic visits and procedures. Customers consistently praise the vendor's service quality and training approach, which can be valuable for busy urology groups seeking hands-on implementation support. However, some feedback requests deeper specialty tuning and more individualized note generation — relevant considerations for procedure-rich specialties like urology where documentation needs vary significantly between LUTS evaluations, stone management follow-ups, and cystoscopy procedures. Suki's breadth as an AI assistant appeals to practices wanting flexibility, though urology-specific depth may require additional customization during rollout.

Best for: Groups wanting a versatile AI assistant that blends ambient documentation with coding suggestions and responsive support.

The Implementation Perspective: What Happens After You Choose

Pilot thoughtfully (and quickly). Start with a representative urology cohort (BPH clinic, stone clinic, men’s health) and include at least a couple of high-procedure providers (e.g., cystoscopy/biopsy days). 

Lock in success measures up front. Track time per note, after-hours work, same-day closure rate, average edits per note, and coding accuracy (ICD-10/E/M; for oncology/urologic oncology clinics, HCC where relevant). Leverage vendor-provided analytics where available and adopt a transparent quality rubric (e.g., error rates, recall/precision, minimal-edit thresholds) to guide improvements.

EHR integration and templates first. Map urology templates (new patient, follow-up, procedure, postop) and required discrete fields (e.g., laterality, findings, path pending). Confirm how the AI populates relevant sections and how coding suggestions surface for procedures and E/M.

Plan for onboarding and support. Plan to scale across providers over 30-90 days. Early hands-on help can reduce friction and speed standardization.

Change management never ends. Set expectations that specialty models and note quality improve with feedback. Align IT, compliance, and clinical leaders on data handling (HIPAA, BAAs, encryption in transit/at rest) and on realistic timelines for deeper integrations if applicable.

Final Thoughts

For urology, the right AI scribe should feel invisible, capturing complex conversations, structuring procedure notes, and supporting accurate coding while letting clinicians stay present with patients. Start with your workflows and EHR realities, insist on transparent quality metrics (and a plan to improve them), and pick the vendor that proves it can adapt to the demands of your specialty and your clinicians.

See DeepScribe in Action

If you're spending evenings closing charts or struggling to capture the complexity of longitudinal urology care, it's worth seeing what specialty-specific AI can do. DeepScribe is designed specifically for specialties like urology where context matters and every encounter is different. See how it works in your environment: request a demo with our team to discuss your practice's specific needs.

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FAQ

Do ambient AI scribes work for urology procedures?

Yes. The best AI scribes for urology support structured procedure elements (laterality, findings, device details, pathology status), provide urology-specific coding suggestions for procedures like cystoscopy and TURP, and offer per-clinician customization to match your exact workflow. The depth of procedure support differs by platform, so consider evaluating AI against your most common workflows during pilot.

How quickly do urology practices see results from AI medical scribes?

The speed and depth of results depend heavily on three factors: how well the AI understands urology-specific workflows from the start, depth of EHR integration, and availability of hands-on support during rollout. With the right AI scribe, urology practices see immediate results. DeepScribe matches provider preferences and specialty nuances out of the box, so clinicians get notes that feel like theirs from day one, then see those results scale and improve over time as the AI continues to learn. 

How do I evaluate AI scribes for quality and accuracy?

The best AI scribes maintain measurable quality standards from day one. Key metrics include defect-free rates, recall and precision scores, average edits per note, and clinical accuracy audits. DeepScribe's DeepScore framework is one public example showing quality metrics. Establish baseline quality thresholds before go-live and monitor them continuously. All AI-generated notes should be reviewed by clinicians before signing.

Which AI scribe works best with ModMed or UroChart?

DeepScribe integrates directly with ModMed and UroChart. DeepScribe's bidirectional integration pulls forward patient history, lab trends, and imaging results for AI pre-charting, then pushes structured documentation and after-visit summaries back into the correct discrete fields — critical for urology practices that rely on specialty EHR workflows and templates.

How should urology practices calculate ROI for AI scribes?

Model the full ROI picture: time saved per clinician, reduction in after-hours documentation, improvement in same-day chart closure, and coding quality gains (better E/M level capture, more complete ICD-10 coding, HCC documentation where applicable).

Do AI medical scribes provide urology-specific coding (E/M, HCC, ICD-10) and billing support?

Strong AI scribes offer built-in coding intelligence tailored to urology. They recognize common urology procedures (cystoscopy, TURP, vasectomy, prostate biopsy), suggest appropriate CPT codes and modifiers, handle multiple codes per visit, account for global periods on post-op visits, and flag documentation gaps that could lead to undercoding. Confirm how coding suggestions appear in your EHR workflow and whether the AI can link suggested codes back to their origin in the clinical conversation for audit transparency.

Can AI documentation tools handle longitudinal care and follow-up visits in urology?

Yes, with the right integration. Effective AI scribes have deep EHR integration and contextual awareness capabilities that enable true longitudinal documentation. They pull forward relevant patient history (PSA trends, prior imaging, pathology results, previous procedures), incorporate that context into today's documentation, and track longitudinal patterns over time. This is especially critical in urology where documentation quality depends on understanding each patient's clinical journey—not just recording isolated encounters. Validate with your own cases during evaluation.

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