Regard Partners with Microsoft on AI Scribe

This collaboration makes Regard a strategic inpatient partner within the Dragon Copilot ecosystem. The integration is designed to combine Dragon Copilot's ambient AI, which captures patient-physician conversations, with Regard's clinical intelligence platform, which analyzes all data within the electronic health record (EHR). The goal is to provide clinicians with a more complete and immediate picture of a patient's health to improve diagnostic accuracy. Regard's AI co-pilot functions by mining vast amounts of patient data from EHRs to surface relevant insights, identify missed diagnoses, and suggest care plans. The Los Angeles-based startup, valued at around $350 million after a recent Series B funding round, has already been implemented in over 150 hospitals. To date, its technology has suggested over 12 million clinician-accepted diagnoses and generated over $200 million in revenue for health system partners. Microsoft's Dragon Copilot is a unified AI assistant that merges the voice dictation capabilities of Dragon Medical One with the ambient listening features of DAX Copilot. The system is designed to reduce clinician burnout by automating the creation of clinical notes and other administrative tasks. This allows physicians to focus more on the patient instead of the computer during visits. The integration allows Regard's diagnostic suggestions to be surfaced directly within the Dragon Copilot workflow, which clinicians already use for documentation. This "proactive documentation" approach generates a draft note before a patient encounter by analyzing historical chart data, and then intelligently combines it with the ambiently captured conversation. Regard has previously worked with OpenAI, using models like GPT-4 to power some of its functionalities. This partnership is part of a larger industry trend of using ambient AI to combat physician burnout, a problem largely attributed to the heavy burden of EHR documentation. The market for AI in medical diagnostics is projected to grow significantly, reaching over $8.3 billion by 2032. The technology leverages natural language processing (NLP) and machine learning to convert unstructured conversations and patient records into structured, compliant clinical notes. By automating this process, ambient AI scribes have been shown to reduce documentation time, allowing doctors to potentially see more patients or spend more quality time with them. Microsoft is expanding the Dragon Copilot ecosystem by enabling integrations with various third-party AI applications through the Microsoft Marketplace. Besides Regard for clinical intelligence, other partners offer solutions for revenue cycle management, prior authorization, and clinical decision support.