Thesis
In 2023, a report revealed that physicians spent an average of 15.5 hours per week on administrative tasks during their work hours. Physicians in certain specialties, like physical medicine and rehabilitation, critical care, internal medicine, nephrology, neurology, and oncology, dedicated even more time, averaging between 18 and 19 hours per week. In 2024, even outside of work hours, about 21% of physicians reported spending more than eight hours per week on administrative tasks. As of October 2021, administrative expenses accounted for 15-25% of total national healthcare expenditures, or $600 billion to $1 trillion per year of the total national health expenditures of $3.8 trillion in 2019. Billing and coding costs, physician administrative activities, and insurance administrative costs were the primary drivers of these expenses.
All this extra work can take a mental toll on practitioners. As of February 2024, 93% of physicians felt that they experienced burnout regularly, and 62% attributed it to excessive administrative burden. Administrative tasks disrupt patient visits, requiring physicians to simultaneously document notes for patient reference, care coordination, insurance, and billing purposes. This dual responsibility places a large cognitive load on physicians, forcing them to balance accurate documentation with patient engagement.
Data collected from 2021 to 2022 showed that physicians, regardless of specialty, spent an average of six hours on electronic health records (EHRs) for every eight hours scheduled for patient care. Effective health discussions rely on attentive communication, and physicians’ divided attention can leave patients feeling shortchanged. Physician burnout also has economic repercussions. A 2019 study estimated that physician turnover due to burnout costs the U.S. healthcare system $4.6 billion annually. In addition, a 2021 report estimated that recruiting a single physician to fill a vacancy can cost as much as $1 million. Burnout also increases the likelihood of medical errors, compromising the quality and safety of care.
Abridge offers an AI platform that simplifies clinical documentation. Its software listens to provider conversations with patients and summarizes medically relevant information for care teams and patients. Integrated into Epic, one of the most widely used EHRs, Abridge saved providers an average of two hours per day in 2023. The platform aims to reduce administrative tasks, with the goal of freeing up more time for physicians to focus on patient care, giving providers more peace of mind, and increasing operational efficiency in healthcare systems.
Founding Story
Abridge was founded in 2018 by Shivdev Rao (CEO), Florian Metze (CSO), and Sandeep Konam (CTO). The company originated from the Pittsburgh Health Data Alliance, a collaboration between the University of Pittsburgh, the University of Pittsburgh Medical Center (UPMC), and Carnegie Mellon University.
Rao’s path to becoming a physician-founder was unconventional. Initially drawn to architecture and history, he earned a bachelor’s degree in history from Carnegie Mellon University in 2001. However, during his undergraduate studies, he was inspired to explore healthcare technology after learning about an ophthalmologist who developed a high-efficiency surgical platform to treat cataracts at scale.
Rao attended medical school at the University of Pittsburgh School of Medicine with a focus on improving patient care at scale. During his residency in Internal Medicine at the University of Michigan, he began programming in Ruby on Rails, developing web applications for residency programs. His early work in digital health, including an app that gained traction, deepened his interest in healthcare technology.
During his cardiology fellowship at the University of Pittsburgh Medical Center, Rao expanded his focus on the intersection of healthcare and technology, eventually serving as the primary check-writer and investor for UPMC while maintaining his clinical role at the Heart and Vascular Institute at the University of Pittsburgh Medical Center. In this role, he invested in businesses leveraging machine learning to enhance patient care and the provider experience. As a practicing physician, he encountered challenges in ensuring that patients retained and understood visit summaries. These experiences informed Abridge’s mission to improve clinical communication.
In 2018, Rao partnered with Konam, a senior product manager at UPMC Enterprise, and Metze, an associate research professor at Carnegie Mellon University, both of whom resonated with Abridge’s mission. Konam earned his master’s degree in robotics from Carnegie Mellon University in 2017 and had previous experience building an oncology clinical trial matching platform. Konam felt strongly about building Abridge to help patients capture, create, and curate their own healthcare data via audio recordings from their consultations. Prior to Abridge, Metze had been a member of the research faculty at the Language Technologies Institute at Carnegie Mellon University since 2009. His work primarily focused on speech recognition and multimedia analysis.
Rao left UPMC in March 2019 to focus on Abridge full-time. As of March 2025, Rao remained CEO and was the only founding member still on the executive team. While Konam still remained involved in an unspecified capacity as of March 2025, Metze left Abridge in 2019 to continue teaching and serving as a research scientist at Meta.
Since Abridge’s founding, the executive team has gradually expanded. In 2019, Julia Chou (COO) joined Abridge with experience as a former YouTube program manager and founder of a software platform for child welfare services. Tina Shah (Chief Clinical Officer), previously a senior advisor to the US Surgeon General and medical director at Wellstar Health System, also joined in 2019.
Zachary Lipton (CTO/CSO), an associate professor at Carnegie Mellon specializing in machine learning and healthcare applications, joined Abridge as an advisor in 2019 and became Chief Science Officer and Chief Technology Officer in 2023. Brian Wilson (Chief Commercial Officer), former sales and revenue leader at NextGen Healthcare and SlickText, joined in 2023.
Product
Abridge captures and transcribes doctor-patient conversations with consent, using generative AI to structure notes using standard charting methods like SOAP (Subjective, Objective, Assessment, and Plan). It integrates with EHRs, particularly Epic, and serves clinicians across major hospital systems like UPMC, Emory Healthcare, and Yale New Haven Health. Supporting over 50 specialties, Abridge aims to improve physician productivity, morale, and patient understanding while reducing administrative burdens.
Traditionally, physicians multitasked during visits, manually taking notes while conversing with patients and later reconstructing details to fit SOAP documentation and billing requirements. In 2023, it was reported that physicians spent an average of 15.5 hours per week on administrative tasks during their work hours, with physicians in certain specialties spending between 18 and 19 hours per week. As of February 2024, 93% of physicians felt that they experienced burnout regularly, and 62% attributed it to excessive administrative burden.
Machine-learning tools like Abridge streamline this process, reducing administrative work by two to three hours per day. By automating documentation, Abridge allows physicians to focus more on diagnoses and patient care. As hospitals seek to improve efficiency and reduce physician burnout, AI-powered scribe tools like Abridge present a scalable solution to improve the provider experience and patient outcomes.
As of October 2024, Abridge’s technology was reported to automate 91% of medical note creation. In a hospital with 1K physicians, this could save 424K hours annually and result in $8.6 million in savings from reduced physician turnover and shorter working hours. Abridge is built to function across multiple appointment contexts, including in-person visits, phone calls, and chat transcripts. As of July 2024, it also supported over 50 medical specialties and was available in more than 14 languages, including Haitian Creole, Brazilian Portuguese, and Punjabi. As of 2024, the platform served tens of thousands of physicians across the US.
Providers
Physicians use Abridge to listen in on conversations with their patients for both in-person and telemedicine visits. They start recording on their device at the start of the visit and end the recording when the patient leaves. Abridge filters through topics in the conversation to capture medically relevant information such as patient symptoms, physician recommendations, and differential diagnoses.

Source: Abridge
Abridge separates medically relevant information from the small talk that physicians use to build trust with patients throughout the course of a consultation. Abridge then presents this information to providers and patients. For providers, Abridge presents medically relevant information in the SOAP clinical notation format. The SOAP format (Subjective, Objective, Assessment, and Plan) structure is used by physicians for clinical documentation. This system covers the majority of information that patients and clinicians need to understand from their conversations.
Providers are able to focus their attention on patients, spend less time completing administrative paperwork, and can complete a patient visit using a smartphone or tablet. In 2024, Abridge reported the following example of feedback from a provider using its software:
“With Abridge, the fidelity of my notes is much higher because I remember all the details, all the details are there. If I don’t have time to document them that day, and instead, I document a few days later, I don’t lose fidelity. That’s one of the biggest deliverables.”
Physicians can audit the notes efficiently by highlighting any section to trace it back to the original transcript or audio, ensuring transparency in the AI-generated content. Abridge also offers an API for licensed developers to build on their medical scribe technology. In the Abridge app, clinicians can edit, review, and verify notes, tailoring them to their personal documentation preferences. This adaptability allows the platform to accommodate physicians’ individual stylistic choices.
Providers can also edit and verify the accuracy of the note with “linked evidence”, a feature that links conversational snippets to parts of a summary to help jog the provider’s memory and connect notes to the conversation. Reception from providers has been positive, with more than 90% of providers continuing to use Abridge during care as of July 2023.

Source: Abridge
Patients
For patients, Abridge’s platform provides access to transcribed appointment summaries, medication change confirmations, and secure sharing of conversation summaries with family members.
In April 2024, Abridge introduced a Patient Visit Summary (PVS) feature, which generates real-time appointment summaries at an 8th-grade reading level. The summary provides patients with a written transcript and audio clips from the conversation with their provider to help them remember and understand their conversation. This feature addresses the problem of patients forgetting 40-80% of medical information discussed during visits, with inaccuracies in nearly half of what they do remember.
The summaries also include a plan and patient instructions. This structure and simplification ensure that the patient summaries are easy to read and understand, ultimately aiming to improve health literacy. Patient testimonials speak to the efficacy of Abridge’s visit summary, with one patient reporting: “I remember 50% of what happened at my last appointment, but Abridge filled in the gaps and corrected a misunderstanding”.
Additionally, Abridge automatically bookmarks complex medical concepts and terms and provides context and definitions. This helps patients better understand their diagnosis and medications to take a more active role in their care plan and health.

Source: Abridge
The patient summaries that Abridge develops can also be securely shared with concerned friends and family. Abridge’s various language offerings and summary notes also remove pressure from people with limited English proficiency, which accounted for 8% of Americans as of 2021. These patients may traditionally struggle to communicate their symptoms, thoughts, and feelings with their doctor and feel understood.

Source: Abridge
Technology
Abridge’s AI system, “Ears”, is comprised of a medical speech recognition model and a clinical note generation model built on a proprietary dataset containing over 1.5 million fully consented and de-identified medical encounters. Together, these models transcribe patient-clinician conversations and generate structured notes in real time. The speech recognition model converts audio from medical conversations into text, aligning the transcript with audio timestamps and attributing phrases to the correct speaker. This transcript is then processed by the note-generation model to produce medical summaries and identify key terms.
Abridge’s speech recognition model has shown superior performance compared to other models, particularly in medical contexts. For example, it outperforms speech-to-text models like Google Medical Conversations and OpenAI’s Whisper v3 in medical conversation transcription, achieving a 16% reduction in word error rate and a 45% reduction in errors related to new medication names. The model also delivers high accuracy in Spanish, with a word error rate of 3.2%.

Source: Abridge
Abridge benchmarks its speech recognition models not only on public datasets like Librispeech but also on curated datasets specifically designed to identify weaknesses in medical transcription. These datasets include conversations with new medication names and complex interactions between multiple speakers. Abridge tests its models on over 10K hours of clinical conversations, using “challenge datasets” to assess model performance.
Promising note-generation models also undergo blinded head-to-head trials conducted by licensed clinicians, who evaluate the accuracy and clinical relevance of the notes produced. During these trials, clinicians select preferred notes and provide annotations to flag errors and suggest feedback. This process ensures that improvements to Abridge’s AI system are informed by both qualitative and quantitative data. Once a model version is deployed, Abridge continues to monitor its performance, which may include collecting passive input from clinicians who change any generated notes. “Ears” is updated weekly to enhance performance.
Abridge has also invested in ongoing human-computer interaction research. Typically, providers spend around 20 seconds editing the real-time generated SOAP notes and visit summary. Each time providers edit these SOAP notes and visit summaries, Abridge uses provider inputs to continuously improve the system’s accuracy in summarizing and processing conversation information.
Abridge maintains data privacy by using de-identified data from fully informed and consenting patients to train their systems in compliance with HIPAA (Health Insurance Portability and Accountability Act) data-sharing regulations and PHI (protected health information) storage stipulations. It includes customizable governance controls and health system-wide analytics and reporting. It also maintains HIPAA compliance, with all data stored in U.S.-based data centers and protected by 256-bit encryption, both in transit and at rest.
Market
Customer
Inferring from its highlighted customers, Abridge operates in the US healthcare market with a focus on large health systems (e.g., Kaiser Permanente, Sutter Health). The platform’s primary end users are physicians across different specialties, but its reach is expanding to include nurses and other healthcare professionals. The platform also has the potential to extend its services to telemedicine providers.
Hospital decision-makers, such as chief medical information officers and chief information officers, typically initiate and oversee partnerships/pilot programs when adopting AI scribes like Abridge. As of 2024, in an evaluation with 15 users, the platform successfully achieved all key outcomes, including reducing physician burnout, improving same-day note closures, streamlining clinical workflows, enhancing the patient experience, and increasing the accuracy of clinical documentation.

Source: Klas Research
Market Size
As of March 2025, Abridge operates within both the US medical transcription software market and the broader global AI healthcare market. In 2023, the US medical transcription software market was valued at approximately $764 million, while the global market was estimated at $1.9 billion, with a projected CAGR of 15.1% from 2024 to 2032.
More broadly, the global AI healthcare market size was estimated at $19.3 billion in 2023 and was expected to grow at a CAGR of 38.5% from 2024 to 2030. This trend was driven by the exponential growth in healthcare data and the shortage of healthcare workers, with an estimated global health worker deficit of 10 million by 2030 as of May 2023. As Abridge continues to expand its product offerings horizontally across applications of AI in healthcare, Abridge may enter new markets, like the global medical coding market, which was valued at $21.7 billion in 2024.
As of 2023, the 10 largest health systems in the US collectively managed over 1.2K hospitals, which made up 20% of all active hospitals nationwide. Since Abridge is targeting these large health systems, each new partnership has the potential to significantly expand its market presence across the US. Rising physician burnout across Europe also indicates potential for the adoption of Abridge’s technology beyond the US market.
Competition
Competitive Landscape

Source: a16z
Abridge operates in a competitive market. In 2024, KLAS Research identified Microsoft-owned Nuance as Abridge’s primary competitor. Although Abridge announced “Abridge Inside” in February 2024, a deep integration with Epic that allows clinicians to use Abridge without exiting the Epic system, the company may also face growing competition from native EHR-based solutions as EHR providers develop their own AI-powered features. Key differentiators for AI-powered medical scribe solutions include accuracy, efficiency, quantity, and depth of integrations.

Source: Beam Health
Competitors
Nuance: Nuance, founded in 1992, specializes in conversational AI and ambient clinical intelligence. The company was acquired by Microsoft in March 2022 for $19.7 billion, making it Microsoft’s third-largest acquisition as of March 2025. Nuance’s Dragon products are widely used in healthcare, with adoption in 77% of hospitals across the US as of 2021.
Nuance, like Abridge, has a deep integration with Epic and, as of March 2025, was embedding its Dragon Ambient eXperience Express (DAX) copilot, rebranded to Microsoft Dragon Copilot, into Epic’s EHR system. Dragon Copilot is part of Microsoft Cloud for Healthcare and serves as an AI assistant for clinical workflows. Unlike Abridge, which uses its own model, Dragon Copilot runs on OpenAI’s GPT-4 model. 77% of clinicians using it report improved documentation quality.
Dragon Copilot is part of Nuance’s Dragon family of speech recognition products and can pair with other Dragon products. Dragon Copilot may be better suited for larger health systems already integrated with the Microsoft suite of products and costs more per seat compared to Abridge. As of January 2024, it had been adopted by over 150 hospitals.
Dragon Copilot takes the form of a smartphone app, transcribing patient visits and generating SOAP notes from those transcripts, similar to Abridge. Physicians can also edit AI-generated notes using voice commands. Unlike Abridge, in addition to transcription and structuring clinical conversations, Dragon Copilot acts as a virtual assistant by automating workflows, such as generating referral letters from visit data. It also allows clinicians to customize note templates.
Augmedix: Founded in 2012, Augmedix went public in 2021 and was acquired by Commure, a healthcare software and AI platform, for $139 million in October 2024. The company offers a suite of medical documentation products with varying levels of AI integration, including Augmedix Go (a pure AI scribe), Augmedix Assist (which combines AI scribe functionality with AI-generated patient notes, coding, after-visit summaries, data entry, and referral letters), and Augmedix Live (for full clinical workflow support before and after visits by a real documentation specialist).
Augmedix’s products serve both ambulatory and acute care settings, including emergency departments. For example, Augmedix Go ED is designed to function in noisy environments where patients are seen by multiple clinicians. Instead of building a suite of specialized products, Abridge aims to develop an all-in-one solution that serves every situation.
Ambience: Founded in 2020, Ambience offers an AI-powered ecosystem of products designed to make clinical workflows, documentation, and billing more efficient. Its suite includes an AI ambient scribe for over 100 specialties, integrated coding assistance that extracts ICD-10 and CPT codes from conversations, after-visit summary generation, referral letter generation, and pre-charting support.
Like Nuance and Augmedix, Ambience offers a more comprehensive solution than Abridge by incorporating medical coding support and covering a wider range of specialties. In February 2024, the company raised $70 million in Series B funding at a $300 million valuation, bringing its total funding to $100 million as of March 2025. Investors include Kleiner Perkins, Andreessen Horowitz, and the OpenAI Startup Fund.
Suki: Founded in 2017, Suki provides an AI clinical assistant for healthcare professionals to dictate, generate notes ambiently, recommend codes, and answer medical questions. Like Ambience, Suki has more features but is more expensive than Abridge. In October 2024, the company raised $70 million in a Series D funding round led by Hedosophia, bringing its total funding to $165 million and its valuation to $400 million as of March 2025. Investors include Venrock, March Capital, and Flare Capital Partners.
DeepScribe: DeepScribe was founded in 2017 and has since launched two main products: an AI medical scribe tailored for specialty-specific workflows and an AI tool that ensures coding compliance by providing insights into relevant HCC (hierarchical classification category) codes based on patient conversation data before, during, and after visits. It also includes a note customization studio with over 50 charting templates and a transparency feature similar to Abridge’s “Linked Evidence”, helping clinicians understand how AI-generated insights draw from raw patient conversation data.
DeepScribe’s note-generation technology relies on a combination of fine-tuned large language models and task-specific models trained on millions of labeled patient conversations, with GPT-4 integrated into its stack. In contrast, Abridge has developed its own proprietary models specifically for speech recognition and note generation, eliminating its reliance on third-party LLMs. As of March 2025, DeepScribe had raised $60 million in funding, backed by investors like Index Ventures, 1984 Ventures, and Bee Capital. The company’s estimated valuation as of July 2023 was $180 million, and it integrates with seven EHR providers as of March 2025.
Nabla: Founded in 2018, Nabla is an ambient AI platform that offers pre-charting, clinical notes, EHR integration, medical coding, and patient summary-generating features. In January 2024, the company raised $24 million in a Series B funding round led by Cathay Innovation, bringing its total funding to $44.7 million as of March 2025. As of March 2025. Nabla supported three more clinical specialties than Abridge and had a broader focus on streamlining medical administrative tasks, such as coding. Another distinction is that Nabla fine-tunes open source models to power its features, while Abridge has built its own models.
Business Model
The price of an Abridge license starts at $199 per seat per month as of March 2025. A 2024 report from KLAS Research suggested that many customers chose Abridge because its pricing is more affordable than other medical scribes. Based on Abridge’s clinician terms of use agreement, clinicians may gain free access to the platform through their health system or health insurance provider.

Source: Axios
*Price is per seat per month
For health systems, Abridge determines pricing on a case-by-case basis, considering factors such as the number of physicians in the system, the system’s complexity, the features requested, and the EHR integrations required. Historically, Abridge has offered large health systems like UChicago and Sutter Health pilot programs to establish results and facilitate larger rollouts within one to three months after the health system has seen results within their own clinician populations.
As a healthcare AI-powered platform, Abridge may incur costs related to technology development and maintenance, compliance and regulation, and customer acquisition. Technology development and maintenance costs may include investments in AI and machine learning development, software infrastructure, and cloud data storage and hosting. Compliance and regulation costs may include investments in data security and encryption to comply with HIPAA regulations. Sales and acquisition costs may include building partnerships with healthcare providers, clinics, and hospitals, investing in digital marketing, and attending healthcare conferences to showcase the product and improve awareness.
Traction
Growth
As of 2025, hospitals were purchasing Abridge at a faster rate than typical for hospital sales cycles. Despite hospital sales cycles typically taking months, as of May 2023, the company has announced a new health system customer nearly every week in 2024. For example, in December 2024, UChicago Medicine expanded its usage of Abridge to more than 800 clinicians across its health system. In January 2025, Duke Health deployed Abridge’s clinical documentation platform to more than 5K clinicians. In March 2025, Sutter Health rolled out Abridge to more than 1K clinicians.
As of February 2025, Abridge was deployed in more than 100 health systems, including the University of Vermont Health System, Christus Health, UChicago Medicine, Sutter Health, Yale New Haven Health System, UCI Health, Emory Healthcare, The University of Kansas Health System, and UPMC.
Efficacy
In 2024, the platform achieved a KLAS rating of 95.3%, significantly higher than the industry average of 79.6%. According to KLAS Research, Abridge customers report decreased burnout and documentation time alongside streamlined patient communication and workflows. While some customers await deeper EHR integration and enhanced accuracy for certain specialties, it was reported that they appreciated Abridge’s responsiveness to feedback, Epic Workshop partnership, and intent to expand beyond clinical documentation.
Abridge has reported clinician improvements for numerous health systems through its pilot programs. For example, in March 2025, Abridge reported results from Sutter Health’s use of Abridge. Within a pilot program of three months, Sutter Health saw 78% of clinicians experience improved work satisfaction, 59% experience improved quality of note, 49% experience a reduction in cognitive load, and 53% report an increase in undivided attention. Similarly, following implementation with Lee Health in August 2024, Abridge reported that 86% of Lee Health clinicians did less after-hours work, 76% felt they had enough time to document, and 57% more clinicians completed notes the same day.
Partnerships
In October 2022, Abridge announced a partnership with Google Cloud. On its site, Google Cloud includes Abridge as a premier partner to structure, summarize, and generate insights on medical conversations.
In October 2024, Abridge announced a partnership with Wolters Kluwer to increase documentation quality by making UpToDate, a clinical decision support product, accessible within the Abridge platform. UpToDate provides timely clinical and medication information at the point of care, and through this integration, Abridge-produced clinical documentation can include links to the latest evidence-based recommendations.
In November 2024, Abridge announced a partnership with OpenNotes, a health transparency research group, to evaluate how helpful AI-generated patient visit summaries are to patients. The goal was to improve the accuracy of these summaries and ensure they are clear and useful for patients. The six-month study aims to examine how AI platforms like Abridge can enhance the value of information shared with patients after a visit. In the first phase, focus groups of patients who have received Abridge-generated visit summaries score them based on criteria such as usefulness and accessibility.
In March 2025, Abridge joined the National Academy of Medicine’s Changemaker Campaign, an initiative that aims to reverse trends in health worker burnout and advance the National Plan for Health Workforce Well-Being.
Valuation
In February 2025, Abridge raised $250 million in Series D funding, led by Elad Gil and Institutional Venture Partners, with participation from Alphabet Inc.’s CapitalG fund and NVIDIA’s NVentures. As of February 2025, Abridge was valued at $2.75 billion, post-money. As of February 2025, Abridge planned to use its Series D funding to develop additional AI capabilities and invest in commercial growth. Earlier, in February 2024, Abridge raised $150 million in its Series C round, led by Lightspeed Venture Partners.
Key Opportunities
Integrating Clinical Decision Support
As of April 2024, over 50% of patients forgot the recommendations discussed during their conversations with physicians. At the same time, increased communication between patients and providers has been shown to improve patient satisfaction and health outcomes. This underscores the need for continuous patient engagement to enhance overall quality of care.
Equipping Abridge with clinical decision support features could further elevate its role as a documentation tool. For instance, the platform could send reminders based on its repository of generated notes and patient visit summaries. Documentation produced by Abridge could also include a dedicated section for patient resources and recommendations, such as AI-generated dietary and exercise plans, to help patients actively manage their health between visits. Additionally, by leveraging patient-generated health data, shown to help diagnose and manage chronic conditions, Abridge could deliver hyper-personalized recommendations.
Supporting Financial Transaction Transparency

Source: McKinsey
As of October 2021, the financial transactions ecosystem represented up to 24% of administrative spending for care sites. Reducing costs and simplifying these processes could be a natural next step aligned with Abridge’s mission to alleviate the administrative burden in healthcare.
As of September 2023, half of insured adults reported experiencing some difficulty understanding insurance details, like their coverage limits or out-of-pocket costs. Additionally, as of 2021, 25% of patients had delayed or avoided care due to the complexity and lack of transparency of administrative tasks, such as completing insurance forms. Integrating detailed bill explanations into Abridge-generated patient visit summaries, clearly outlining charges and the associated treatments, could help patients better understand their medical expenses while reducing the administrative burden they face.
Expanding to Include More Healthcare Professions and Specialties
In April 2024, KLAS Research found that Abridge customers wanted more detailed, accurate notes available across a wider range of healthcare roles and specialties. As of July 2024, Abridge was collaborating with nurses through a strategic partnership with Mayo Clinic, where nurses could contribute to developing a version of the platform optimized for their workflows. Expanding pilot programs like the one at Mayo Clinic is crucial for Abridge to meet the needs of nurses, particularly given that documentation tasks account for about 15% of a nurse’s shift as of 2023.
Beyond nursing, Abridge could benefit other documentation-heavy specialties such as psychiatric care, which saw an increase in demand in 2024. Psychiatric care documentation, like nursing, has unique requirements. Psychiatrists must record risk assessments, provide detailed justifications for treatment plans, and document medication adjustments with greater specificity than many other specialties. Psychiatric charting also frequently includes narrative descriptions of a patient’s mental state, behavior, and interpersonal interactions. Abridge could use its repository of conversation transcripts to monitor and analyze a patient’s behavioral and mental health trends over time. However, given the highly sensitive nature of psychiatric records, enhanced privacy protections may be necessary.
Industry Awareness of Ambient AI Scribes
The adoption of ambient AI in healthcare is expanding as research highlights its impact on patient and provider outcomes. A 2024 study found that AI-assisted documentation produced higher-quality notes, while a 2025 study reported a 20% reduction in note-taking time and a 30% decrease in after-hours work. Additional studies have linked ambient AI to lower clinician burnout and higher patient satisfaction, reinforcing its role in streamlining workflows and enhancing healthcare delivery.
As of August 2024, more than 180 hospitals and medical centers have integrated ambient AI technology with Epic Systems' software, leveraging generative AI across 100+ applications. According to the Medical Group Management Association, as of January 2025, 30% of physician practices use ambient AI for clinical documentation. As of March 2025, leading institutions such as Stanford Medicine, Yale New Haven Health, and UChicago Medicine have implemented AI-driven scribing, recognizing its ability to enhance documentation quality, reduce physician workload, and improve patient interactions.
The growing recognition of ambient AI’s benefits could help Abridge sell its technology to large hospital systems. As more hospitals adopt the technology, others may follow, making it easier for Abridge to expand its reach.
Key Risks
Market Saturation
Since 2020, investment in medical scribe startups has grown. As of March 2025, the market has become highly competitive as companies strive to stand out through end-to-end solutions and tailored support for specific medical specialties. While many of Abridge’s competitors offer a broader range of functions beyond AI-powered clinical documentation, Abridge stands out for its deep integration with Epic — a capability that rivals like Nabla, Suki, and Augmedix lack, as of March 2025.
To differentiate itself, in April 2024, Abridge launched patient summaries, a feature that converts a doctor’s note into a patient-friendly version at various reading levels, suggesting a strategy to position itself not only as a solution that eases administrative burdens for doctors but also as one that reduces complexity for patients. Despite these efforts, a clear differentiator that firmly establishes Abridge as a leader in the space is still emerging, as many scribe companies remain in close competition.

Source: Forbes
EHR-Native Competition
As of December 2023, Epic was the world’s leading EHR provider, leveraging Cosmos, its proprietary dataset, and the largest global database of patient EHR information, to develop advanced AI tools. As of August 2024, Epic had more than 100 AI applications in development, including tools to automatically queue prescription and lab orders and facilitate claim submissions directly within its platform.
Epic has a long history of collaboration with ambient scribe companies, having worked with Nuance for more than a decade, as of 2023, and naming Abridge as its first “Pal” in the “Partners and Pals” program to integrate innovative technologies into its EHR system. However, once clinical conversations are stored in Epic, the company could augment its tools to cover functions that ambient scribe startups have specialized in. Since many physicians are comfortable working within Epic’s ecosystem, this could limit startups’ ability to gain market share in functions like revenue cycle management.
Regulatory Compliance and Data Safety
Healthcare data breaches pose severe legal and financial risks, particularly under HIPAA, which mandates strict protections for protected health information (PHI). As of March 2025, violations may result in fines up to $50K per violation, with annual caps of up to $1.5 million, and may lead to civil lawsuits and criminal charges for willful neglect. International regulations like GDPR impose even stricter fines of up to €20 million or 4% of annual revenue, as of March 2025.
Beyond fines, breaches cause operational disruptions, lawsuits, and costly forensic investigations. For example, in February 2024, the Change Healthcare cyberattack compromised patient data and disrupted billing and prescription processing nationwide, delaying care and imposing financial strain on providers. Such incidents highlight the critical need for robust cybersecurity measures to ensure compliance and protect patient data.
AI Hallucination
LLMs have been known to hallucinate in healthcare settings, sometimes producing incorrect information. As of 2024, 10% of doctors used ChatGPT in their day-to-day work. However, as of 2023, the hallucination rate of ChatGPT was suggested to be 20-25%. In 2024, another study showed that up to 30% of statements made by the GPT-4 RAG model were not supported by any sources provided. Gemini Pro, Google’s LLM, fully supported only 10% of its responses. The tendency of generative models to overstate or generate false information highlights the risks of relying on AI for medical decision-making without human oversight.
Misinformation in healthcare can lead to misdiagnosis and inappropriate treatments, posing serious risks to patients. For instance, if a provider were to use Abridge to take notes during a patient consult and the AI-generated output contained hallucinations, the patient visit note and SOAP note could be inaccurate. However, while using Abridge, providers do have safeguards — they can review and edit notes, listen back to recordings, and amend the AI-generated summaries before finalizing them in the medical record.
Summary
Clinical administrative burden negatively impacts healthcare systems by contributing to clinician burnout, reducing time spent with patients, decreasing care quality, and increasing financial losses for hospitals. Abridge seeks to reduce this burden by using generative AI to capture and structure patient conversation data more efficiently. In a crowded market of ambient medical scribes targeting large hospital systems, Abridge also faces competition from EHR giants like Epic, which are developing clinical documentation solutions. Despite this, Abridge is gaining traction, securing a growing number of hospital partnerships and reaching a $2.75 billion post-money valuation in February 2025. The company also has opportunities to expand its platform by incorporating clinical decision support and catering to specific healthcare professionals, such as nurses, as well as specialized fields like psychiatry.