AI scribes are the leading generative AI use case in healthcare right now. The market is evolving rapidly. The number of AI scribe products is growing. There are over 50 such startups in the healthcare niche. Modern AI scribes are often EHR-integrated solutions rather than standalone apps. In the near future, AI scribes will probably become standard features within major EHR vendors. The most accurate AI scribes are trained on medical data and do not use ChatGPT. Some are tailored for specific specialties and settings beyond primary care. The term 'scribe' gradually transforms into "copilot", capable of clinical summarization (pre-charting), orders and referrals, coding for billing, patient summaries in multiple languages, discrete data capture, and clinical decision support linked to evidence-based resources.
What Is an Ambient AI Scribe?
Ambient AI scribes are the next step in the evolution of medical transcription software. They build on traditional speech recognition technology, enriched with AI and NLP, so they are able to transcribe in real time and understand the medical context.
After consultations, doctors have to review medical data and compile a clinical note for the electronic health record (EHR). Sometimes, this process happens after working hours.
AI scribes record doctors' conversations with patients and transcribe them, then use integrated machine learning and NLP to prepare a clinical note. They also can automate medical coding.
Challenges with Clinical Documentation
Doctors must deal with administrative tasks and tiresome documentation issues.
Human and Time-Related Challenges
- Physicians spend a significant part of the consultation time in front of a computer screen, typing the details, hampering the possibility of building a rapport with a patient.
- The time that doctors spend reviewing documentation is neither limited nor paid.
- When medical staff complete clinical notes after conducting tens of consultations during a day, they are likely to forget some important details, which results in low-quality patient records and negatively influences patient outcomes.
Technology and Data Management Challenges
- Relying on free software solutions means that sensitive patient data might be put at risk of compliance and data security issues.
- Exploiting ambient scribes without AI functionality allows doctors to capture what is said. However, these tools are unable to generate clinical notes or help with missed data.
Medical Coding Challenges
- Medical coding demands much time and concentration from physicians due to the vast number of codes and lengthy medical documents.
- Relying on a keyword-matching approach in medical coding is impractical, as it does not consider medical data from various sources or relate different conditions and symptoms and does not understand linguistic variances, negations, etc.
- Coding errors might result in reimbursement failures.
Ambient AI Scribe Functionality
Healthtech companies develop custom healthcare software offer that try to address the above-mentioned challenges with the following features:
Documentation and Integration Features
- The tool listens to the interaction between a doctor and a patient and makes a recording.
- Integrated AI functionality allows for converting the conversation into a clinical document that might require minimal edits from the doctor to finalize and approve.
- Ambient AI scribes integrate with EHR systems.
- The AI software is steadily learning from the users’ feedback and offers relevant improvements.
Clinical Support and Analysis Features
- The scribe is capable of processing medical conversations, summarizing documentation, identifying gaps in care, and coding procedures.
- The software, during interactions with patients, suggests real-time reminders and prompts.
- Clinicians can ask the AI to clarify any data at the time of consultation with patients.
Regulatory Compliance and Coding Features
- AI reads medical documentation and offers relevant codes that might be further accepted or rejected by coders.
- AI solutions understand variations in doctors’ phrases, negations, abbreviations, and other specific contexts.
- AI scribes that are developed specifically for the healthcare domain are compliant with regulations.
Benefits of Applying Ambient AI Scribe
AI scribes — or whatever we finally name them — clearly won't disappear anytime soon.
Implementing AI assistants like ambient AI scribes brings healthcare organizations the following improvements:
- Studies indicate a 72% decrease in the time spent on documentation, a 40% reduction in overtime, including weekend work, and a 20% rise in overall practice satisfaction.
- Doctors focus on patients more carefully during consultations, while the recording happens automatically in the background.
- Organizations achieve improving the quality of documentation.
- Clinicians receive assistance that can enhance decision-making.
- Ambient assistants provide doctors with relevant medical studies and guidelines, saving their time for attentive patient care.
TOP-12 AI Medical Scribes
Innovaccer InScribe
Total Funding: $675M
Country: USA
It is an AI medical scribe that captures, transcribes conversations, converts them into clinical notes, automatically syncs them with EHRs (automate form completion and update patient records), as well as analyzes conversation and suggests diagnoses.
The tool transcribes the conversation either on the desktop or mobile device, while a doctor is talking to a patient. The transcription is then converted into clinical notes of various formats (SOAP, APSO, SO A&P, SOAP + Physical Exam & Tests, etc.) and submitted to the EHR.
Healthcare organizations like One Medical, Franciscan Health, Emtiro Health, Children's Health Alliance, Banner Health, MercyOne, Community Care Plan, Catholic Medical Partners, CHESS Health Solutions, CHI Health Partners, UpStream, St. Peter’s Health use the Innovaccer AI scribe.
Augmedix
Total Funding: $162M
Country: USA

Ambience Healthcare
Total Funding: $100M
Country: USA

Suki Assistant
Total Funding: $95M
Country: USA
Corti Assistant
Total Funding: $89M
Country: USA

Nabla
Total Funding: $44.7MM
Country: USA
Blueprint
Total Funding: $17.3M
Country: USA

Heidi Health
Total Funding: $10.1M
Country: USA
Avo
Total Funding: $8M
Country: USA

Upheal
Total Funding: $4.35M
Country: USA
Tortus
Total Funding: $4.2M
Country: USA
Andy
Total Funding: $500K
Country: USA
How Belitsoft Can Help
Healthcare software development companies like Belitsoft provide healthtech startups with the expert assistance in creating, customizing, and supporting ambient AI scribes with the following capabilities:
- Real-time voice-to-text transcription for physicians to dictate clinical notes.
- Automatic synchronization of doctors’ notes with internal databases (EHRs, etc.).
- Tailored note sections for doctors to easily navigate medication history, etc.
- Embedded personalized templates for doctors.
- Integrated AI algorithms to enable transcription analysis and automatic coding.
- Continuously learning AI algorithms.
- Quality assurance tools to identify gaps in clinical notes.
- Adherence to health systems’ regulations.
- Multi-language interface.
- Enhanced functionality through Google Chrome extensions to simplify note creation.
If you're looking for expert assistance in data infrastructure, data platforms, workflow engineering, and cloud development (including AWS, Azure, and Google Cloud), as well as hybrid or on-premises environments, the Belitsoft healthcare software development company offers outsourced expertise to meet your needs.
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