Clinical AI developed by clinicians who use it

Clinical AI is the application of machine learning, natural language processing (NLP), and ambient intelligence within healthcare software to assist medical providers with clinical and administrative workflows. These solutions are aimed at reducing the clinical and operational burden by highlighting information that is clinically relevant for the provider to make the best decision for the patient.

Operating strictly under a human-in-the-loop framework, clinical AI does not make medical decisions, diagnose patients, or prescribe treatments. Instead, it processes data to act as an assistant, supporting the provider’s ultimate clinical judgment.

ModMed’s clinical AI is purpose-built by specialty physicians and trained on ModMed’s deep repository of de-identified, real-world, specialty-specific clinical data. To build it all, on-staff specialty physicians develop and test our clinical AI on rigorous standards through a speciality lens. Each clinical AI is Individually launched to each unique specialty to vet value, need, and efficacy – delivering clinical AI that understands your unique terminology, mirrors your specialty’s nuances, and embeds directly into your workflows.

ModMed Scribe 2.0 is our specialty-specific, AI-powered clinical documentation solution that works alongside our EMA EHR to capture natural patient-provider conversations, suggest structured clinical notes and billing codes for your review, and queue prescriptions, lab orders, and patient education for your approval. Seamlessly integrated, it is designed to reduce documentation time, enhance face-to-face patient engagement, and improve clinical efficiency.

gScribe is integrated into our gGastro platform, which is designed specifically for gastroenterology practices. It suggests content for the visit note — including HPIs, ICD-10 codes, care plans, and more — helping improve efficiency. It also enables dictation for precharting, helping providers prepare for patient interactions and reducing the need for costly third-party dictation or voice-to-text solutions. Just tap record, and gScribe goes to work, connecting details from patient discussions to clinical information, filtering out the rest – all ready for your review.

Once recordings are processed and transcripts are created, the recordings are deleted. The original transcripts will be retained by ModMed for up to 90 days before the content is de-identified and the transcript is no longer linked to the patient or practice.

While the system operates on a centralized knowledge base that is periodically updated to reflect changes in medical standards, its strength lies in its specialty-specific training and high-volume data integration.

ModMed Scribe 2.0 was trained on de-identified, real-world clinical data, including millions of structured parameters sampled from over 1 billion patient encounters, 2 billion diagnoses, 4 billion care plans, 500 million prescriptions, and 400 million lab orders. Unlike generic AI models, ModMed Scribe was trained on specialty-specific synonym libraries developed by practicing physicians. This grounding helps the AI scribe understand the terminology, nuances, and workflows of your field.

Since the launch of ModMed Scribe 2.0 in November 2025, the clinical AI assistant has supported over 1,000,000 patient visits and has been adopted by more than 1,800 providers.

We designed ModMed Scribe to be accurate and reliable. We are taking several steps to measure ModMed Scribe’s performance and will continue to monitor performance on an ongoing basis, including through internal testing, a state-of-the-art third-party monitoring tool, and an impact survey of our users. Plus, providers always have the final say with built-in review and editing features.

ModMed Scribe 2.0 is built natively into ModMed’s EHR EMA® and trained on data from a large, specialty-specific dataset — including over 750 million patient encounters, 2 billion diagnoses, and 4 billion care plans. Co-created by physicians, ModMed Scribe is built to understand the clinical nuances of specialty medicine — from retina exams to Mohs surgery.

Additionally, ModMed has received an ASTP/ONC certification related to ModMed Scribe. In 2024, the ASTP’s HTI-1 Final Rule laid out extensive transparency and risk-management requirements for predictive tools based on artificial intelligence. These rules were intended to ensure that Predictive DSIs are fair, appropriate, valid, effective, and safe for use within certified EHR technology. This is critical for providers who need to trust and have confidence in the tools and technology they bring into the exam room. This certification reflects ModMed’s commitment to these principles, which support healthcare providers in delivering exceptional patient care.