Microsoft Cloud for Healthcare

A bird’s eye view of patient clinical (incl. a patient’s care plan, clinical timeline, and care team) and non-clinical data with separate versions for clinical and non-clinical users.

Customizable templates for shared care plan creation.

Creating and managing patient observation records, encounters, patient procedures, and appointments.

Dashboards for care coordinators and care managers to track care plan activities.

Templates for creating care teams in MS Teams (with predefined team structure, settings, and channels).

HIPAA-compliant secure messaging, file exchange, and video calls between care team members in MS Teams.

Assigning care or administrative tasks, tracking their completion via the MS Teams Tasks app, and automating task management (e.g., automatically escalating tasks when a certain clinical event is triggered).

Creating and managing approval flows directly from an MS Teams chat or in the MS Teams Approvals app.

Setting up automatic reminders triggered by clinical events (e.g., new patient admitted, lab result ready).

Creating schedules and assigning shifts in the MS Teams Shifts app.

Time-tracking and sending requests for time off, open shifts, shift swaps in the MS Teams Shifts app.

(for managed care organizations (MCOs) or payers)

Care managers can add practitioners, organizational accounts, and location records.

Portals for allowing patients to directly access their health information (e.g., lab test results), schedule appointments, and message medical staff.

The bot can be customized for tasks like handling automated symptom triage or helping patients with scheduling.

Creating post-visit surveys in Dynamics 365 Customer Voice and automatically sending them to patients via email or to the patient portal.

Tracking communication with patients across multiple channels (email, calls, social media).

Tracking metrics like response rate, missed appointments in Dynamics 365 Customer Insights.

Pre-built and configurable filters for segmenting patients (e.g., by provider, location, demographic information).

Creating tailored patient engagement campaigns for different patient segments and for different marketing channels (e.g., email, SMS, in patient portal).

Secure video consultations through the MS Teams Virtual Appointments app.

Virtual waiting rooms with the ability to check in through a web or mobile portal before the appointment.

Patient-specific reminders created based on demographics, conditions, languages, appointment type, and channel preferences (e.g., SMS, email, push notifications in patient apps).

Real-time file sharing during virtual visits, e.g., for sending test results.

Automatic transcription of video consultations using Azure AI Speech.

Automatically generating virtual visit summaries based on transcripts via Azure OpenAI and adding them to patient records.

Tasks like scheduling lab tests or issuing prescriptions can automatically be assigned using Power Automate.

Secure connection of home use devices using Azure IoT Hub.

Real-time vitals tracking with configurable thresholds and alerts on out-of-range values.

Patient-reported outcomes can be collected through patient portals.

Collecting and standardizing data captured from medical devices and then transferring it to patient records.

Identifying patterns in vitals and patient treatment adherence and visualizing them for clinical review.

Tracking medical device state and usage patterns for predicting device malfunctions.

Structuring disparate healthcare data and preparing it for analytics and AI/ML modeling using Microsoft Fabric.

Power BI dashboard templates for clinical data, claims data, social determinants of health (SDoH), resource utilization, and data on specific medical conditions (e.g., diabetes).

Predicting health outcomes and identifying high-risk patients using Azure ML (available as part of Microsoft Fabric).

Extracting insights from unstructured patient and population-level health data using Azure Text.

Microsoft Fabric includes a collection of medical imaging foundation models for image segmentation, classification, and anomaly detection in X-rays, CTs, MRIs, etc.

Templates for creating referrals, discharge summaries, consent forms, and other documents.

Generating clinical notes based on patient visits and summarizing patient records and clinical documents with DAX Copilot.

Automatic extraction and labeling of key medical information from unstructured text (e.g., doctor's notes) with Azure Text Analytics for Health.

Identifying errors in medical records with Azure ML.

Indexing and categorizing medical documents using Azure Cognitive Search.

Generating referral letters from clinical notes with DAX Copilot.

Setting up multiple medical identifiers (e.g., multiple medical record number and additional identifiers like a driver's license number) for streamlining search for patient records.

To enable secure communication among medical professionals and deliver virtual care for patients.

From $6 per user/month

To securely store, manage, analyze, and share data using standardized data exchange formats (e.g., FHIR).

Pay-as-you-go (with a freemium model)

Conversational AI for symptom checking, appointment scheduling, and patient engagement.

$500 per month (with a free plan of up to 3,000 messages)

To connect, monitor, and manage IoT devices at scale, enabling real-time data collection and analysis.

From $10 per unit/month

For generating unified patient profiles and creating patient outreach campaigns tailored to patient behavioral and demographic data.

$1,700 tenant/month

For managing and resolving patient inquiries, complaints, and service requests across multiple channels.

$105 user/month

To enable omnichannel communication with patients through secure SMS, chat, and social platforms.

$110 user/month

For streamlining and managing care delivery outside of traditional clinical settings (e.g., for home health care).

$105 user/month

For automating complex scheduling and assignment of medical staff based on location, availability, and expertise.

$30 resource/month

For managing and improving relationships with referring physicians, partner providers, or healthcare payers.

$150 user/month

For creating custom low-code applications tailored to specific clinical and administrative workflows.

From $12 user/month

For building rule-based workflows that help connect apps and execute tasks without manual input.

From $15 user/month or $150 bot/month

To extract valuable insights from unstructured text in medical records (e.g., clinical notes) using AI-powered natural language processing.

A tiered pricing model with higher per-unit costs in the lower tiers ($25 to $5 per unit as the number of processed text records increases).

To extract and structure data from a wide variety of healthcare documents (scanned, typed, or handwritten) by analyzing layouts, fields, and textual content (e.g., table extraction from lab results).

Pay-as-you-go

To unify data, AI, and analytics management, enabling the creation and scaling of business intelligence solutions.

Pay-as-you-go