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Microsoft Healthcare NExT | findAIList | findAIList

findAIList/Tools/Microsoft Healthcare NExT

ACTIVE

Microsoft Healthcare NExT

Paid

Transforming clinical productivity through AI-powered ambient intelligence and unified FHIR data architectures.

Capabilities: Ambient clinical documentation FHIR data ingestion and transformation Medical imaging metadata extraction Patient triage automation Population health analytics

9.5

Protocol Reliability Score

Overview

Microsoft Healthcare NExT represents the strategic integration of Azure AI, Microsoft 365, and Dynamics 365 into a specialized 'Microsoft Cloud for Healthcare' ecosystem. By 2026, this architecture has matured into a comprehensive platform focusing on 'Ambient Clinical Intelligence' via Nuance DAX Copilot and robust interoperability through Azure Health Data Services. The technical backbone leverages Azure OpenAI Service's specialized clinical models (BioGPT derivatives) to handle unstructured medical text, DICOM imaging metadata, and longitudinal patient records. Positioned as the primary competitor to AWS HealthScribe and Google Cloud Healthcare API, NExT's market edge lies in its deep integration with Microsoft Teams for telehealth and its native support for HL7/FHIR standards. It enables healthcare providers to move from fragmented data silos to a unified Dataverse-backed environment, facilitating real-time clinical decision support and automated administrative workflows. The platform is designed for massive scale, supporting global healthcare systems with high-availability requirements while maintaining strict data residency and HIPAA/HITRUST compliance protocols.

Advanced Technology

Nuance DAX Copilot

Uses automated speech recognition (ASR) and clinical LLMs to convert patient encounters into structured clinical notes.

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From $25/moFreemium

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Feedback & Queries

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User Comments

Azure Health Data Services

A unified platform for managing FHIR, DICOM, and MedTech (IoT) data in a single API framework.

Healthcare Agent Service

Generative AI-powered bot framework with built-in medical knowledge bases and triage logic.

MedImage Insight

AI models optimized for medical imaging analysis and automated finding reports.

Dataverse Health Link

Synchronizes clinical FHIR data with the Dynamics 365 Power Platform for CRM capabilities.

Text Analytics for Health

NLP service that extracts entities like dosage, symptoms, and diagnosis from unstructured text.

Microsoft Purview for Healthcare

Automated data discovery and sensitivity labeling for protected health information (PHI).

Specifications

Enterprise Readiness

SSO (Single Sign-On)
GDPR
SOC2
ISO27001
HIPAA
HITRUST
Data Sovereignty
Cloud-Native Architecture

Protocol Interface

textaudioDICOMHL7 v2CCD/CDAjsonfhirpdfstructured_clinical_notes

Native Integrations:

Pros & Cons

Advantages

Unmatched interoperability with FHIR standards
Market-leading ambient documentation with DAX
Robust enterprise-grade security and compliance
Unified data view across clinical and administrative domains

Limitations

High licensing costs for small providers
Requires significant technical expertise to configure
Complex pricing structure across different Azure/M365 services

Strategic Edge

"Unique market positioning verified."

Setup Guide

Follow the official protocol for initialization.

Pricing Matrix

LIVE

Cloud for Healthcare Add-on95

Azure Health Data Services (Standard)0.47

DAX Copilot (Ambient AI)Custom

Knowledge Hub

Is Microsoft Healthcare NExT a single product?

No, it is a strategic initiative and suite of services including Azure Health Data Services, DAX, and the Microsoft Cloud for Healthcare.

Does it replace my current EHR (Epic/Cerner)?

No, it is designed to sit on top of and integrate with your EHR to enhance it with AI and cloud capabilities.

Is the data HIPAA compliant?

Yes, Microsoft provides Business Associate Agreements (BAA) and all services are HIPAA and HITRUST certified.

Can I use it for research purposes?

Absolutely. Its data de-identification and large-scale analytics capabilities make it ideal for clinical research.

What is the difference between Azure Health Data Services and the DICOM service?

The DICOM service is a specialized component within Azure Health Data Services specifically for medical imaging data.

Execution Protocols

Reducing Physician Burnout
Doctors spend 2+ hours on documentation for every hour of patient care.
View Execution Protocol
01
Physician activates DAX Copilot mobile app.
02
AI listens to the ambient conversation during the visit.
03
AI generates a formatted SOAP note draft.
04
Physician reviews and signs off in Epic/Cerner.

Deployment Health

STABLE

Monthly Visits1200000

Global RankN/A

Bounce Rate35%

Registry Updated:2/7/2026

Capability Sectors

Healthcare & Medical Fhir Generative Ambient Documentation

Remote Patient Monitoring (RPM)

Difficulty in ingesting real-time data from wearable devices into clinical records.

View Execution Protocol

01

Wearable sends data to Azure IoT Hub.

02

MedTech service transforms data to FHIR observations.

03

Trigger alerts based on clinical thresholds.

04

Notify care team via Microsoft Teams.

Clinical Trial Matching

Manual screening of patients for trial eligibility is slow and error-prone.

View Execution Protocol

01

Ingest patient EHR data into Azure Health Data Services.

02

Run NLP models to extract clinical phenotypes.

03

Query patient cohorts against trial criteria.

04

Identify eligible candidates automatically.