Azure Health Bot
Azure Health Bot empowers developers in healthcare organizations to build and deploy AI-powered, compliant, conversational healthcare experiences at scale. It combines a built-in medical database with natural language capabilities to understand clinical terminology and can be easily customized to support your organization's clinical use cases. The service ensures alignment with industry compliance requirements and is privacy-protected to HIPAA standards. Create health bots using built-in medical knowledge bases, triage protocols, and language models trained to understand clinical terminology. Trigger seamless handoff from a bot interaction to a doctor, nurse, or support agent. Leverage a library of industry-specific scenario templates to accelerate the creation of healthcare use cases. Support your organization's custom scenarios with healthcare-specific configuration options and extensibility tools.
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Healthcare Data Analytics
With more than 70% of healthcare data stored in clinical documents, reports, patient chart, clinician notes and discharge letters, our healthcare specific Natural Language Processing and AI Engine identifies the concepts, attributes and context needed to deliver business insights, optimize billing, identify and stratify patient risks, compute quality metrics or collect patient sentiment and outcome data. Leverage difficult-to-surface or entirely untapped data sources to enhance your clinical research or business intelligence. Leverage our database of thousands of clinical concepts such as genomic biomarkers, symptoms, side effects, and medications. Identify disease characteristics, medications, or risk factors from clinical documents to stratify patients and improve the quality of care. Protect the identity of data subjects while maintaining data utility through document de-identification.
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Med-PaLM 2
Healthcare breakthroughs change the world and bring hope to humanity through scientific rigor, human insight, and compassion. We believe AI can contribute to this, with thoughtful collaboration between researchers, healthcare organizations, and the broader ecosystem. Today, we're sharing exciting progress on these initiatives, with the announcement of limited access to Google’s medical large language model, or LLM, called Med-PaLM 2. It will be available in the coming weeks to a select group of Google Cloud customers for limited testing, to explore use cases and share feedback as we investigate safe, responsible, and meaningful ways to use this technology. Med-PaLM 2 harnesses the power of Google’s LLMs, aligned to the medical domain to more accurately and safely answer medical questions. As a result, Med-PaLM 2 was the first LLM to perform at an “expert” test-taker level performance on the MedQA dataset of US Medical Licensing Examination (USMLE)-style questions.
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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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