AskMed
AskMed is an AI-powered medical reference and research app for healthcare professionals, medical students and researchers. Users ask clinical questions and receive structured explanations with citations linking claims to medical journals, clinical guidelines, drug labels and reference works. Its Ask Anything and Research modes support reviewing clinical concepts, comparing treatment evidence, exploring study findings, preparing for journal clubs and studying medical topics. Users can filter sources, inspect cited passages, ask follow-up questions, and attach PDFs, images or notes. AskMed is available through a browser-based web app and mobile apps for iPhone, iPad and Android, with seven languages. It is intended for education and reference, not diagnosis or treatment; AI-generated answers and citations may be incomplete or inaccurate and should be checked against original sources and professional judgment.
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MedAffairs AI
MedAffairs AI is a cloud-based, AI-enabled machine learning tool specifically designed to enhance the Medical Affairs function within the pharmaceutical industry. Trained on the largest compendium of medical affairs data, it offers rapid and accurate responses to user queries, significantly reducing the time spent searching through shared drives and folders. The platform allows for the seamless integration of internal documents, including clinical studies, standard operating procedures, and articles, enabling users to effortlessly retrieve answers by querying their internally uploaded resources. Each response is accompanied by the corresponding source document for easy reference. MedAffairs AI supports both internal and external data searches, providing comprehensive insights into medical information, regulatory affairs, compliance, key opinion leader engagement, medical strategy, and planning.
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Heidi Health
Heidi Health is an ambient AI clinical documentation and workflow platform built for healthcare professionals. It captures patient consultations in real time and converts conversations into structured medical records, including progress notes, referral letters, discharge summaries, care plans, and billing-ready documentation.
The system recognizes complex medical terminology, adapts to specialty-specific requirements, and supports standardized coding systems such as ICD-10 and SNOMED CT. Heidi distinguishes clinically relevant details from general dialogue and formats outputs for review and EHR integration.
Accessible via secure desktop and mobile applications, Heidi integrates with major electronic health record systems and supports multilingual consultations. With enterprise-grade security and compliance with global privacy standards, Heidi reduces administrative workload while improving documentation accuracy and clinical workflow efficiency.
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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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