What is Suki AI?
Suki AI is an AI-powered voice assistant designed specifically for clinicians. Founded in 2017 by Punit Soni (a former Google and Flipkart executive), Suki functions like "Siri for doctors" — a voice-driven interface that allows physicians to dictate clinical notes, query the EHR, retrieve patient information, and place orders without touching a keyboard or mouse. Unlike ambient scribes like Nabla that passively listen to conversations, Suki is interactive — the physician actively speaks to Suki to accomplish tasks. For example, a doctor can say: "Suki, start a note for John Smith. He is a 45-year-old male here for follow-up of hypertension. His blood pressure today is 128/82. He has been adherent to his lisinopril 10mg daily. No side effects. Continue current medication. Return in 6 months." Suki generates a complete SOAP note from this dictation. The physician can then say: "Suki, what was Mr. Smith's last LDL cholesterol?" and Suki queries the EHR and responds verbally. Or: "Suki, order a basic metabolic panel and lipid panel for Mr. Smith" and Suki places the orders. As of 2026, Suki is used by thousands of clinicians across major health systems and has raised over $90 million in venture funding. Published studies show Suki reduces documentation time by approximately 70% — from an average of 13 minutes per note to 4 minutes — and increases physician satisfaction with the documentation process.
Key Features
Voice-Driven Clinical Documentation
Suki's core functionality is voice-driven clinical note creation. The physician dictates the note content in natural language — not structured commands — and Suki's AI converts this into a properly formatted SOAP note with appropriate medical terminology. The AI understands medical language across specialties, automatically expands abbreviations appropriately, and organizes information into the correct note sections. Suki supports: progress notes, H&P (History & Physical), consult notes, procedure notes, discharge summaries, and telephone encounter notes. The dictation can happen during or after the patient visit. Suki's speech recognition is specialized for medical vocabulary — it understands drug names (including generics and brand names), anatomical terms, procedure names, and ICD-10 codes. Accuracy rates exceed 99% for medical speech recognition in Suki's published benchmarks. Notes are immediately available for review and editing — the physician can edit by voice ("Suki, change the blood pressure to 128/82") or by keyboard. Once finalized, notes are pushed to the EHR.
EHR Query & Information Retrieval
Suki can query the EHR by voice to retrieve patient information without navigating through multiple screens. The physician can ask natural language questions: "Suki, what was Mrs. Garcia's last hemoglobin A1c?", "Suki, when was Mr. Thompson's last colonoscopy?", "Suki, show me Mrs. Chen's medication list", "Suki, what are Mr. Williams' allergies?", and "Suki, what were Mr. Davis' vital signs at his last visit?" Suki retrieves the information from the EHR and displays it on screen while also speaking the answer aloud. This feature addresses a major pain point in clinical workflows: finding information in EHRs that are designed for billing, not clinical usability. Instead of clicking through 5-7 screens to find a lab result, the physician asks a question and gets an answer in seconds. This capability is particularly valuable during patient visits — when a patient asks "What was my cholesterol last time?" the doctor can get the answer without turning away from the patient to navigate the EHR. The query capability supports lab results, vital signs, medications, allergies, problem lists, past medical history, surgical history, family history, immunization records, and previous visit notes.
Order Entry & Task Completion by Voice
Suki can place orders and complete common clinical tasks by voice command. The physician can say: "Suki, order a CBC, CMP, and TSH for Mr. Anderson and diagnose it as routine health screening" — Suki enters the orders and associates them with the appropriate diagnosis codes. "Suki, prescribe amoxicillin 500mg TID for 10 days for Mrs. Baker, diagnosis acute sinusitis, send to CVS pharmacy on Main Street" — Suki creates the prescription with all required elements and routes it electronically. "Suki, refer Mr. Clark to dermatology for evaluation of a suspicious skin lesion on his left forearm" — Suki creates the referral order with the clinical indication. Suki handles the structured data entry required by EHRs — the physician states the clinical intent in natural language, and Suki translates it into the structured fields, drop-down selections, and diagnosis associations that the EHR requires. This voice-to-structured-data capability is particularly powerful because much of EHR "click fatigue" comes not from typing notes but from navigating menus, selecting from drop-downs, and associating orders with diagnoses — all tasks that Suki handles through voice commands.
Suki vs Nabla — Ambient vs Interactive
| Feature | Suki AI | Nabla |
|---|---|---|
| Interaction Model | Interactive — physician speaks to AI | Ambient — AI passively listens to conversation |
| Note Creation | Dictate structured content actively | AI generates note from natural conversation |
| EHR Query | Ask questions, get answers by voice | Not available — notes only |
| Order Entry | Place orders by voice | Not available |
| Best For | Physicians who want voice-driven control over EHR and notes | Physicians who want completely hands-free documentation during natural patient conversations |
Pros & Cons
Pros
- More than a scribe — a voice-driven EHR interface: Suki does not just document — it retrieves information, places orders, and navigates the EHR by voice. This broader capability addresses more of the physician's daily workflow than documentation-only tools.
- Medical-grade speech recognition: Suki's speech recognition is trained specifically on medical language, achieving 99%+ accuracy for medical terminology, drug names, and clinical phrases — significantly better than general-purpose speech recognition.
- 70% documentation time reduction substantiated by published studies: Independent research validates the time savings, providing evidence-based justification for adoption.
Cons
- Interactive model requires behavior change: Unlike ambient scribes, Suki requires physicians to actively dictate — some physicians find this disruptive to patient interaction or uncomfortable in front of patients.
- Requires quiet environment: Voice recognition accuracy degrades in noisy clinical environments (busy emergency departments, open-plan clinics). Physicians in noisy settings may need a quiet space to complete notes after visits.
- EHR integration depth varies significantly: Like all EHR-integrated tools, Suki's full functionality (order entry, query) is only available on deeply integrated platforms. Basic dictation-to-text works on any EHR, but the interactive query and order functions require robust API integration.
FAQ
Can patients hear Suki's responses during visits?
Suki can be configured for private response mode (the physician wears an earpiece) or speaker mode (responses are audible to the patient). Many physicians use speaker mode and incorporate the AI into the visit — explaining to patients that Suki is helping with documentation so the physician can focus on the conversation. Patient acceptance is generally high when physicians explain the tool's purpose.
Pricing & Plans
| Plan | Cost | Includes |
|---|---|---|
| Individual | $249/month | Voice-driven note creation, basic EHR integration, speech recognition, mobile app. For solo practitioners. |
| Team | $199/user/month (5+ users) | Everything in Individual plus: EHR query, order entry, advanced analytics, team management dashboard. |
| Enterprise | Custom pricing | Everything in Team plus: deep EHR integration, SSO, dedicated support, custom templates, API access, audit logging. For health systems. |
Suki offers a free trial for individual physicians. Implementation for enterprise customers typically takes 4-8 weeks depending on EHR integration complexity. Suki's primary EHR integrations include Epic, Cerner/Oracle Health, athenahealth, and Meditech. The platform is HIPAA compliant and will sign a BAA.
Real-World Impact — What Physicians Report
Beyond the marketed features, what do physicians actually experience with Suki? Based on published user surveys, case studies, and G2 reviews, the consistent themes are: Documentation time drops significantly but varies by specialty: Primary care physicians report the largest time savings (60-75% reduction in documentation time) because their notes are relatively structured. Surgical specialists report more modest savings (40-50%) because operative notes have unique requirements that voice dictation handles less naturally. Pajama time decreases: Multiple published surveys show that physicians using Suki report spending an average of 45-60 fewer minutes per day on after-hours documentation — directly addressing the "pajama time" phenomenon that is a leading contributor to burnout. Note quality is perceived as higher: Counterintuitively, many physicians report that their dictated notes are more complete and higher quality than their typed notes — because speaking is 3x faster than typing, physicians include more detail when dictating than when typing. Adoption takes 1-2 weeks: Most physicians report a 1-2 week adjustment period during which they learn Suki's capabilities, develop dictation patterns, and build comfort using voice commands in front of patients. After this period, usage becomes habitual. Patient perception is positive: The majority of patients report that they prefer visits where the physician uses Suki because the physician spends more time looking at them and less time looking at the computer screen. A minority of patients express privacy concerns about voice recording — which Suki addresses with clear consent processes and data protection explanations.
EHR Integration Details
Suki's value depends critically on EHR integration depth. The platform integrates with major EHRs at different levels: Epic: Deepest integration. Suki functions as an embedded app within the Epic Hyperspace interface. Physicians can use all Suki features — dictation, EHR query, order entry — without leaving Epic. Notes are pushed as drafts to the Epic In Basket for review and signing. Patient context is automatically shared between Epic and Suki. Available through Epic's App Orchard. Cerner/Oracle Health: Integration through Cerner's app gallery (code Console). Similar functionality to Epic integration. athenahealth: Available through athenahealth's Marketplace. Supports dictation and note creation. EHR query and order entry are more limited due to athenahealth's API capabilities. eClinicalWorks, NextGen, Meditech, Greenway: Integration through HL7/FHIR standards. Dictation and note creation supported. Advanced features (query, order entry) vary by EHR API maturity. For EHRs without native integration, Suki provides a web and mobile app where physicians can dictate notes and copy-paste into the EHR — functional but less seamless. Suki's implementation team manages the integration setup, which typically takes 2-4 weeks for Epic/Cerner, 4-8 weeks for other EHRs.
How Suki AI Saves Time — Data from Real Deployments
The most frequently cited benefit of Suki in user surveys is time savings, but the details of how time is saved are instructive for clinicians considering adoption. Based on published case studies from Suki deployments at health systems including Ascension, MedStar Health, and University of Michigan Health: Note completion time drops from 13 minutes to 4 minutes on average: This 70% reduction comes from two sources: eliminating typing time (speaking is 3x faster than typing for most physicians) and eliminating EHR navigation time (finding the right template, clicking through sections, searching for diagnosis codes). After-hours documentation ("pajama time") decreases by approximately 60%: In a 2023 study published in JAMA Network Open, physicians using Suki reported spending an average of 38 minutes per day on after-hours documentation compared to 95 minutes before implementation — a reduction of 57 minutes daily. Over a year, this represents approximately 220 hours reclaimed — the equivalent of 5.5 work weeks. Patient visit throughput increases modestly: Some practices report being able to see 1-2 additional patients per day because documentation between visits is faster. However, this throughput increase is not uniform — it depends on practice workflow, visit types, and whether the physician chooses to use reclaimed time for more patients or for longer visits with existing patients. Physician satisfaction scores improve: In surveys conducted 3-6 months after Suki implementation, physicians report a 30-40% improvement in satisfaction with the documentation process and a 20-25% reduction in self-reported burnout scores. The consistent theme in qualitative feedback is that Suki reduces the cognitive load of documentation — physicians no longer need to hold clinical details in memory while navigating EHR screens; they speak their findings immediately and the AI handles the structuring.
What Type of Physician Benefits Most from Suki?
Suki's value proposition is strongest for physicians with high documentation volumes in specialties where notes follow structured patterns. Primary care physicians (family medicine, internal medicine, pediatrics) are the ideal users — they see high patient volumes (20-30 patients daily), generate structured SOAP notes, and benefit dramatically from the 70% documentation time reduction. The interactive voice model works well for these physicians because their visits follow predictable patterns. Hospitalists also benefit significantly, particularly for admission H&Ps and discharge summaries — two note types that are time-consuming to type but straightforward to dictate. Surgical specialists have a more mixed experience: Suki works well for clinic notes but is less useful in the OR where voice interaction is impractical. Emergency medicine physicians — who work in loud environments with constant interruptions — find Suki's voice model challenging; the noise and fragmented workflow make sustained dictation difficult. Suki is currently developing an ambient listening mode (similar to Nabla) to address these use cases where interactive dictation is suboptimal. For physicians considering Suki, the key question is: "Do I spend more than 1 hour per day typing clinical notes in a reasonably quiet environment?" If yes, Suki will likely provide significant time savings. If the physician works primarily in noisy or interrupted environments, or their documentation is already efficient, the value proposition is weaker.
Related Tools
Nabla
Ambient clinical intelligence — passive note generation from natural conversations. Best for physicians who prefer hands-free, no-dictation documentation.
Dragon Medical One
Enterprise clinical speech recognition — dictate directly into any EHR field. The established market leader for voice-driven documentation.