Microsoft Dragon Copilot
Microsoft's Dragon Copilot is a powerful AI-driven solution designed to enhance clinical workflows by automating documentation and reducing administrative burdens. Integrated with Microsoft Cloud for Healthcare, it helps clinicians streamline their work by creating detailed, accurate documentation from patient-clinician conversations. Dragon Copilot supports multiple languages and works even without internet connectivity, capturing patient data and converting it into specialty-specific notes. The tool uses AI to suggest improvements for clinical encounters, automatically fills in orders, and allows clinicians to query notes and access medical information, improving operational efficiency and patient care.
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ScribeHealth
ScribeHealth is an AI-powered medical scribe that listens during patient-clinician conversations, transcribes and codes clinical notes in real time, and formats them into structured document types (SOAP, HPI, MSE, specialty-specific templates) with minimal clinician intervention. The system achieves high accuracy, learns from feedback, and lets most physicians spend only minutes tweaking rather than writing notes from scratch. It integrates seamlessly with existing EHR/EMR platforms (including Epic, Cerner, AllScripts, Jane, and specialty systems) via secure APIs, HL7/FHIR standards, or native integrations, enabling note syncing within clinicians’ normal workflows. ScribeHealth uses bank-level encryption, deletes audio recordings post-transcription, adheres to HIPAA compliance, and safeguards patient privacy. It offers session analytics, speaker identification, context awareness to extract symptoms, and assessments.
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MediLogix
MediLogix is a comprehensive AI-powered clinical documentation platform designed to radically simplify and streamline how healthcare providers create medical records. With MediLogix, clinicians record a single patient encounter, and the system’s AI translates that recording into eight complete document types; full transcripts, patient summaries, treatment plans, wound-care or medication instructions, coding suggestions, reusable templates, and protocol analyses. The AI isn’t limited to basic speech-to-text; it analyzes clinical context in real time and adapts output to specialty-specific details (e.g., cardiology versus orthopedics), preserving the physician’s voice, reasoning, and decision-making patterns rather than producing generic notes. All AI-generated outputs are reviewed by human medical transcriptionists to ensure accuracy and interpret nuanced context (tone, sentiment, clinical subtleties).
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DeepScribe
DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking.
Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system.
Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit.
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