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.
Learn more about Azure Health Bot
Gemini for healthcare
Gemini for healthcare is a governed AI agent solution for health systems, medical groups, health plans, payers, and health technology teams. Built around reusable healthcare skills and secure connectors, it coordinates clinical, financial, and administrative workflows across existing EHR, claims, coverage, and enterprise systems. Example tasks include synthesizing patient records, preparing visits, assembling prior-authorization and appeal materials, reviewing requests against plan policies, and explaining benefits and estimated costs from plan documents. Organizations can adapt skills to their own rules and workflows while preserving source-system permissions and keeping EHR connections read-only. The platform provides audit logs, citations to underlying records and policies, and model choice for governed agent workflows. It is offered as a Google Cloud preview rather than a standalone healthcare application.
Learn more about Gemini for healthcare
Adentris
Adentris is an AI-powered revenue integrity and compliance platform built for hospitals, health systems, and behavioral health networks.
Five core modules run on one agent layer: Documentation QA, Prior Authorization, Coding QA, Appeals & Denials, and Discharge Summary. Together they replace the stack of separate point solutions providers usually run side by side. A proprietary AI Web Agent reads EHR interfaces the way a trained compliance reviewer would, with no API or HL7 connection needed, so Adentris reviews every chart, claim, and prior auth in real time, from patient intake through discharge.
Findings route automatically by role. Coders get coding suggestions, clinicians see clinical gaps, and compliance teams get a complete, timestamped record of every review.
Learn more about Adentris
Amy by CombineHealth
Amy by CombineHealth is an AI medical coding automation solution that helps mid-sized hospitals and multi-specialty physician groups automate complex coding workflows with confidence. Amy supports CPT, ICD-10, HCPCS, E/M, modifiers, and specialty-specific coding requirements.
Amy analyzes clinical documentation, coding guidelines, payer logic, and specialty-specific rules to generate accurate, explainable coding recommendations. It helps identify missed services, documentation gaps, undercoding opportunities, and coding exceptions, with evidence for each suggested code.
A key differentiator is Amy’s feedback loop: for every chart it codes, downstream claim outcomes such as denials, payer responses, and reimbursement results are used to improve future coding performance and reduce repeat errors. In production, Amy has delivered 98%+ coding accuracy, up to 85% coding automation, and a 75% reduction in coding-related denials.
Learn more about Amy by CombineHealth