Abridge uses ambient AI to record clinician-patient conversations and generate structured clinical notes. It captures details—chief complaint, history, assessment, plan-links each note section to the original dialogue. The system highlights next steps and integrates with EHRs for seamless documentation. Major health systems like Mayo Clinic and Johns Hopkins use Abridge to reduce documentation time and improve note quality.
Ai Functions: Speech-to-text, clinical NLP, linked evidence models
Clinical Impact:
Saved ~2‚ 3 hours/day per physician; improved documentation quality; +16% RAF score capture
Why it matters to Private Practice:
Enables complete, accurate documentation while letting doctors focus on patients‚ and not typing.
Aidoc develops FDA-cleared AI algorithms that automatically detect urgent findings—like strokes, pulmonary embolisms, intracranial hemorrhages, spine fractures, and abdominal free air—in CT scans. Integrated into radiology workflows, "Always-on AI" triages critical cases. Deployed in 900+ hospitals across the US, Germany, Israel, and others.
Ai Functions: Computer vision, deep learning
Clinical Impact:
PE detection: 93% sensitivity/95% specificity; intracranial hemorrhage detection validated
Why it matters to Private Practice:
Enables small practices (with imaging) to detect urgent findings faster—reducing liability and improving outcomes.
Asha Health enables medical practices to launch AI-driven virtual chronic care clinics to support patients between visits. It automates routine follow-up, lifestyle coaching, symptom tracking, and documentation through AI agents. Covered by Medicare CCM billing, it generates new revenue while easing clinician workload.
Ai Functions: LLMs, conversational agents, predictive modeling
Clinical Impact:
Engages 100% of chronic patients between visits; improved patient engagement, quality metrics, and reported 12% boost in VBC performance
Why it matters to Private Practice:
Turns chronic care into a scalable, revenue-generating service—no extra time needed from the physician.
Developed the Butterfly iQ, a handheld, ultrasound probe that connects to a smartphone – it incorporates AI to assist clinicians with image acquisition and interpretation. Software includes AI tools such as an AI-powered bladder volume calculation, which automatically measures bladder volume from a sweep, and an AI cardiac ejection fraction estimator, which helps non-cardiologists assess heart function. The device’s app also provides guidance like optimal probe positioning and detects if the image is in plane. The portability and low cost (~$2k) of the Butterfly, plus its AI features, make point-of-care ultrasound far more accessible to private practices.
Ai Functions: Image recognition and measurement algorithms on-device/cloud
Clinical Impact:
With AI guidance, Butterfly boosts POCUS use by non-specialists. PCPs improved diagnosis, nurses hit 95% bladder scan accuracy, and AI EF readings are within \~5–10% of echo in studies.
Why it matters to Private Practice:
Instant, AI-guided imaging at the point of care—boosting confidence, speeding diagnosis, and adding a billable service in-office
Commure provides AI copilots to automate note creation, coding, prior auth, and revenue cycle workflows, alongside ambient documentation. Their “Ambient AI” tool reduces charting time by 25% for OB-GYN clinics. Their RCM solution improves denial rates and AR days using LLM-based agents. Also offers dashboards for enterprise visibility, linking EHR, equipment, and operations data.
Ai Functions: LLMs, predictive models, NLP
Clinical Impact:
Reduced charting by ~25% in trial with an OB-GYN clinic
Why it matters to Private Practice:
Helps small practices reclaim time and optimize revenue workflows.
The Healthcare AI Index is a digital resource from Healthcare Networks of America (HNA) designed to help private practice physicians stay ahead of emerging AI solutions.
DeepScribe offers an ambient AI operating system that handles both pre-visit chart prep and live, context-aware documentation during consultations. The tool provides real-time transcription, highlights HCC codes, and generates draft notes—and also connects insights at the right time to enhance clinical workflows.
Ai Functions: NLP, contextual AI
Clinical Impact:
Reduces workflow burden
Why it matters to Private Practice:
Minimal documentation lift lets physicians focus fully on patient care.
Offers AI-powered virtual assistant that automates documentation and triage for primary care. Patients chat with a 24/7 “AI doctor,” which gathers symptoms, suggests diagnoses, and drafts SOAP note for review. Human physicians finalize the plan or conduct a follow-up visit. AI flags emergencies, answers routine questions, and streamlines care; generating structured notes, supports efficient $39 telehealth consults with licensed doctors.
Ai Functions: LLMs, prompt chaining, multi-agent systems
Clinical Impact:
10M+ consultations; saves 6‚ 8 minutes per visit in documentation time; ~90% diagnostic concordance
Why it matters to Private Practice:
Streamlines documentation and triage, letting private clinics operate more efficiently with AI help.
Doximity is the largest online network for U.S. healthcare providers and offers digital tools to streamline clinical workflows. In 2023, it launched Doximity GPT, a HIPAA-compliant AI tool that helps physicians auto-generate routine documents like referrals, appeals, and discharge notes. These drafts are editable and can be sent via secure fax or email in minutes, saving doctors time and improving clarity in patient communication.
Ai Function: GPT-4 (fine-tuned), PHI-safe prompt wrappers
Clinical Impact:
50% reduction in admin time; 330K+ docs used AI tools; increased form turnaround speed
Why it matters to Private Practice:
Streamlines paperwork in small practices—saving time on prior auths, letters, and instructions.
FDA-cleared digital stethoscopes paired with AI to detect heart and lung conditions at POC. Devices like the CORE 500™ work with the SENSORA™ platform to analyze heart sounds and ECG signals in seconds. Eko's AI detects murmurs, AFib, and in 2024 became the first to identify low ejection fraction via stethoscope. Clinicians get real-time diagnostic insights with 75–85% accuracy, transforming routine exams into powerful cardiac screenings.
Ai Functions: Deep learning, signal processing, CNNs
Clinical Impact:
Identified low EF with AUROC ~0.85; doubled cardiomyopathy diagnosis in maternity clinics; reduced diagnostic misses by 50%
Why it matters to Private Practice:
Turns a stethoscope into a cardiac screening tool—essential for small clinics without imaging.
Fathom is an AI platform that automatically transcribes and codes medical procedures and visits for billing. It applies deep learning to physician documentation to assign the correct CPT, ICD-10, and modifier codes, aiming to streamline the coding and billing process. The AI continuously learns from coding experts and adapts to each practice’s patterns. In a private practice, this can eliminate or augment the need for certified coders to manually code each encounter, which is especially helpful in high-volume specialties like radiology, emergency, or multi-specialty clinics. It can also catch missed codes (like add-on codes) to maximize revenue capture.
Ai Functions: Natural Language Processing on clinical text; deep learning models trained on millions of coding examples.
Clinical Impact:
Fathom auto-codes 90%+ of visits with >95% accuracy, cutting turnaround to minutes. Practices report faster billing, higher coding throughput, and increased revenue from missed units caught by AI.
Why it matters to Private Practice:
Fathom lowers coding costs and boosts revenue by catching missed charges. It ensures accuracy, reduces denials, and helps small practices grow without adding staff or risking compliance errors.
Automates documentation tasks for physicians through ambient AI-powered scribing. The system transcribes and summarizes live patient consultations into structured notes, referral letters, treatment plans, and billing documentation. The platform integrates with EHR systems like Epic, Athenahealth, MediRecords, and others. It maintains compliance with HIPAA, GDPR, SOC 2, and ISO certifications, and supports over 1 million patient interactions weekly.
Ai Functions: LLMs, NLP, machine learning
Clinical Impact:
Claims “over 1 million” weekly interactions; reduces clinician documentation time significantly (en.wikipedia.org)
Why it matters to Private Practice:
Frees up significant physician time by handling documentation, improving presence in patient visits.
Infinitus offers an AI voice agent (“Eva”) that automates routine phone calls to insurers, pharmacies, and patients. It uses NLP to speak, listen, and navigate calls like a human—verifying insurance, checking prior auths, following up on claims, and logging results into your system. For private practices, it reduces staff time spent on hold and streamlines admin workflows with 24/7 coverage.
Ai Functions: Natural language understanding (speech-to-text) + speech synthesis; custom healthcare dialogue management AI
Clinical Impact:
Infinitus AI handles 30–50% of admin calls, cuts hours of phone time, and speeds prior auths by 1–2 days. One clinic saw 100+ auths done in a week with minimal staff input.
Why it matters to Private Practice:
Infinitus frees staff from insurer calls, speeding up authorizations and billing. Small practices get faster cashflow, smoother ops, and less phone time—without hiring more staff.
Offers an AI-powered primary care platform that assists physicians with diagnostic suggestions, treatment plans, and documentation. Uses chat-based intake and a physician-facing co-pilot. The platform synthesizes patient input and EHR data into a structured pre-visit chart. Uses large language models and clinical NLP trained on vast medical datasets to provide real-time diagnostic support and care plan suggestions.
Ai Functions: LLMs, NLP, predictive models trained on de-identified clinical notes
Clinical Impact:
Matched physician recommendations in ~66% of cases; safer than human in guideline adherence (2.8% unsafe vs 4.6%)
Why it matters to Private Practice:
Automates intake and helps identify overlooked diagnoses, supporting efficiency and accuracy in private practice.
Notable Health uses AI to automate patient intake, insurance checks, scheduling, reminders, and billing queries. Its digital assistant interacts via text, email, or voice, completing tasks like pre-visit forms and rescheduling. Data flows directly into the EHR, reducing manual work. For private practices, Notable cuts admin time and improves patient satisfaction with fewer phone calls.
Ai Functions: AI-powered RPA (natural language understanding for patient messages, bots for EHR actions).
Clinical Impact:
Notable boosts intake completion to 70%+, cuts front-desk work by 50%, and drops no-shows by 30%. Clinics save staff time, reduce denials, and see higher patient satisfaction with digital tools.
Why it matters to Private Practice:
Notable helps small practices offer modern digital check-in and scheduling, reduce front-desk workload, and scale patient volume without adding staff
Paige is a leading provider of AI in pathology, using deep learning to assist in detecting cancer and other abnormalities on digitized tissue slides. Focused initially on prostate cancer, breast cancer, and colon cancer, Paige’s FDA-approved AI can scan whole-slide images and highlight areas suspicious for tumor, helping pathologists avoid misses and improve efficiency. Paige’s AI can reduce turnaround time and help standardize quality, especially useful as labs face workforce shortages.
Ai Functions: Deep neural networks (CNNs) for gigapixel image analysis; trained on tens of thousands of slides with confirmed pathology.
Clinical Impact:
Paige AI detects prostate cancer with >95% sensitivity, cuts false negatives by 70%, and speeds case reviews by 13%, helping pathologists catch more cancers and reduce diagnostic errors.
Why it matters to Private Practice:
Paige boosts diagnostic confidence in prostate and GU pathology, helping small labs handle high volumes and reduce misses with limited staff.
Qure.ai uses FDA-cleared AI to interpret chest X-rays and head CTs in under a minute. It detects TB, pneumonia, bleeds, strokes, and more. Ideal for urgent care, radiology, and rural settings, Qure integrates with PACS or handheld X-rays to support fast, accurate decisions when radiologists aren’t available.
Ai Functions: Convolutional neural networks for image analysis (trained on 7M+ images); specialized models per anatomy.
Clinical Impact:
Qure.ai boosts TB detection by 20%, cuts radiologist workload by 50%, flags brain bleeds in under a minute, and helps primary care spot missed findings like lung nodules and TB for earlier referrals.
Why it matters to Private Practice:
Qure.ai offers affordable AI reads for clinics, boosting accuracy and trust where no radiologist is onsite.
A voice-enabled AI assistant that helps physicians complete documentation faster-transcribing spoken notes directly into the EHR. Ambient technology captures medical details and generates SOAP notes, orders, and referrals. Integrated with major EHRs (Epic and athenahealth) Suki reduces documentation time by ~70%. It learns each preferences and supports voice commands. Allows physicians to focus more on patient care and less on admin work.
Ai Functions: Speech-to-text, NLP, medical language models
Clinical Impact:
Cuts note time by 70%; saves ~3 hours/day; reduced burnout by 60% in pilot groups
Why it matters to Private Practice:
A virtual scribe that cuts documentation time dramatically—ideal for solo and small group practices.
Sully.ai provides AI-powered agentic teams that automate clinical and administrative tasks across the patient care journey. Their platform includes virtual agents such as medical scribes, receptionists, nurses, and coders, all designed to integrate with existing EHR systems. Sully.ai aims to make physicians "superhuman" by reducing administrative burden and enhancing care delivery. The company is backed by top accelerators like Y Combinator and serves over 300 healthcare organizations.
Clinical Impact:
2.8 hours saved per physician daily; 11.2% revenue increase during trials; Used by 300+ organizations
Why it matters to Private Practice:
Reduces burnout and admin time; Improves revenue and efficiency; Enhances patient care with AI support
AI-native practice management platform built for private practices. Unifies EHR, practice management, and patient engagement in one system. Its clinical co-pilot uses AI to analyze labs, lifestyle inputs, and wearable data, surfacing personalized treatment recommendations. Routine tasks like intake, scheduling, billing, and charting are automated. Patients stay engaged via a mobile app offering real-time tracking and AI-generated wellness guidance.
Ai Functions: NLP, ML, LLMs, voice recognition
Clinical Impact:
Cut admin time by up to 70%; improved adherence and patient retention; early signs of improved HRV and glycemic metrics
Why it matters to Private Practice:
Delivers high-touch, personalized care with admin automation—ideal for small practices seeking scale.
An AI-powered platform that identifies urgent medical conditions on imaging and coordinates care team activation. The algorithms analyze CT/MRI scans for signs of large vessel occlusion stroke, pulmonary embolism, aortic dissection, and other time-sensitive findings. It now has FDA clearances for PE, cerebral aneurysm, intra-cranial hemorrhage, and even cardiology modules (like detecting early heart failure signs on CT).
Ai Functions: Deep learning for image analysis + workflow automation.
Clinical Impact:
Studies at stroke centers found median time-to-treatment was reduced by 20–30% when using Viz for early notification. Improves team coordination and documentation of acute care timelines, a big win for quality metrics.
Why it matters to Private Practice:
Potentially reducing disability or saving lives in stroke. It essentially acts as a digital “on-call assistant” for critical cases.
A healthcare RPA (Robotic Process Automation) and AI company that automates repetitive administrative processes, with a focus on revenue cycle management (RCM) tasks. Acts like a digital workforce that can log into EMRs, billing systems, and payer portals to execute tasks- insurance eligibility checks, prior authorization submissions, claims status follow-ups, and data entry between systems. It can read and extract data from documents and make simple decisions (e.g., routing a claim denial to the right work queue).
Ai Functions: Robotic process automation with AI (computer vision to use GUIs, NLP for data capture, machine learning for rules).
Clinical Impact:
Olive speeds up insurance checks by 30%, cuts denials by 20%, and reduces prior auth time from 5 to 2 days—saving staff hours and boosting monthly collections by \~5%.
Why it matters to Private Practice:
Bots can take over tedious tasks like insurance calls and data entry. This means smaller front-office teams can manage larger patient volumes without burnout.
A Large Language Model (LLM) is a type of AI trained on vast amounts of text to understand and generate human-like language. In healthcare, LLMs are used for summarizing patient records, generating clinical notes, and providing diagnostic suggestions based on symptoms and history.
An AI co-pilot is a digital assistant that supports physicians during clinical workflows. It can prep charts, suggest diagnoses, or recommend treatments while integrating seamlessly into the EHR.
Ambient Scribes passively listen to clinical conversations and generate full SOAP notes in real time. Voice-to-Note Tools allow you to dictate a visit summary or plan directly, which the AI transcribes and structures. Template-Driven Scribes integrate into the EHR and let you select from common visit types, filling in fields automatically based on your verbal or typed input. Patient-Input Scribes like start with a patient chat or form intake, then generate a structured summary for the physician to review.
Natural Language Processing (NLP) allows AI to "read" and understand human language. It's used to extract meaning from patient charts, symptom descriptions, and doctor-patient conversations. This helps automate documentation and flag clinically relevant information.
This means multiple specialized AI tools working together—like one agent for coaching, another for medication adherence—coordinated to provide holistic patient support.
A digital twin is an AI-powered model of a physician’s knowledge, approach, and communication style—trained on how you think and care for patients. This allows you to create a virtual version of yourself that can support patient care 24/7 through a chatbot, answer questions between visits, and guide patients using your preferred treatment philosophies.