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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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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Hippocrate
Engage, Diagnose, Prescribe and improve Patient Experience, Satisfaction and loyalty through a Patient-Centric Approach to Medicine. Get access to more Patients and increase your profitability while decreasing your costs! Connect, Discuss, Refer a Patient securely and Present your toughest cases to colleagues. Collaborate with other Medical specialists and share your knowledge and experience, in our fully encrypted smart Medical Social Network. A Highly Secure and Scalable Big Data Health Platform, designed for Medical Researchers. Play with our anonymized Health data, MRT, fMRI, Genes, discover behind patterns and improve Patients Treatments with Big Data and Analytics! Hippocrates was selected to present the Best Big Data Health platform in the most prestigious Medical University in the world: Stanford Medical School. We introduced our new research in Health Care Systems and Medical Technology and explained how our solutions can revolutionize the Medical Field at no cost.
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Amazon Comprehend Medical
Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies.
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