Healthcare Practices
Healthcare Data Analytics for SaaS Software
- Automations and alerting allow you to stay informed
- Analyze payer data to find anomalies
- Combine healthcare data sources to unify reporting tools
Transform your healthcare data into actionable insights

With a focus on security, Qrvey’s embedded analytics solution for healthcare analytics platforms enable teams to safely analyze sensitive data, from individual patient records to entire healthcare practice performance all within your SaaS application.
Qrvey is deployed directly to your cloud environment for industry-leading security and scalability for healthcare analytics software.
Built on serverless technology, infrastructure costs are drastically lower while still giving you the best in data security.
Qrvey ingests any data type – SQL, NoSQL, and unstructured data sources like forms and images – and enables analysis from multiple healthcare data sources on a single dashboard.
Qrvey is fully compliant with the HL7 / FHIR patient medical record standards to integrate within healthcare analytics tools.
Qrvey’s connects directly to the AWS AI suite to power real-time machine learning augmentation for your healthcare analytics solution.
Since Qrvey’ healthcare embedded analytics deploys to your cloud environment and analyzes healthcare data in real-time, this eliminates the need to copy data outside your environment or use costly third-party ETL solutions withAI and ML.
Qrvey supports many use cases with a security-first approach. Through a healthcare embedded analytics layer built into SaaS-based healthcare analytics solutions, Qrvey accelerates time to value while allowing teams to build custom dashboards within one system.
Healthcare Data Analytics for SaaS Software
Patient Data Analytics Solutions
Clinical Trial Analytics Solution Platform
Provide the Best Care Possible
Healthcare Payer Data Analytics Software Solution
Analyze fresh data streams and large datasets in seconds so teams can act immediately.
Handle billions of rows and high-concurrency workloads without degrading performance.
Apply AI and machine learning workflows to enrich data and surface predictive insights.
Use a tenant-aware data layer designed for SaaS products that support many customers.
Enforce role-based access controls, data permissions, and compliance-ready policies.
Connect with APIs, data pipelines, and cloud services to fit your current architecture.
Let users build dashboards, reports, and filters without relying on engineering resources.
Deliver white-labeled charts and dashboards directly inside your application experience.
Get direct access to technical experts to accelerate implementation and long-term success.

AI-Native Self-Service · 100% Embedded · Multi-Tenant · Flat-rate Licensing · Built-In Data Pipeline