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
Healthcare Analytics Solutions
Transform your healthcare data into actionable insights
Empowering Healthcare Analytics Teams
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.
Maximum Data Security by Deploying Qrvey in Your Cloud Environment.
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.
Learn More About Qrvey’s Deployment Model
Connect to Any Data Source, Including FHIR-Compliant Patient Health Records
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.
Learn More About FHIR Analytics
Gain Deeper Insights with AI
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 with AI and ML.
Learn More About Qrvey’s Unified Data Pipeline
Improve Outcomes and Performance Using Your Data
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.
Patient Data Analytics Solutions
Ingest and analyze FHIR data with Qrvey’s API
Enable teams to drill-in to the lowest level of data
The best in security as your data stays in place
Clinical Trial Analytics Solution Platform
Spot trends early with comprehensive automations
Analyze trial spend in real-time
Connect to AI services for in-depth analysis
Provide the Best Care Possible
Collect real-time patient feedback
Analyze outcomes as the data comes in
Native automation and alerting to stay current
Healthcare Payer Data Analytics Software Solution
Integrate an unlimited number of data sources
Increase payment rates with real-time visibility
Multi-Tenant ready for custom dashboard building
Key Capabilities of Qrvey for Healthcare Analytics
Real-Time Data Processing
Spot trends in real-time, support rapid decision-making and improve patient outcomes with real-time data analysis.
Enterprise Scale
Efficiently scale to billions of records and increase concurrent user access while lowering infrastructure costs.
Integrated AI
Integrated AI for predictive analytics, improving diagnostic accuracy, and personalizing patient care.
Multi-Tenant Data Lake
Scale analytics offering by combining data sources into a scalable central analytics layer for multi-tenant apps.
Data Governance
Manage data security by ensuring data quality, regulatory compliance, and effective data stewardship.
Integration Ready
Unified data pipeline supporting integrations from enterprise systems, applications, and all data sources.
Self-Service Analytics
Empower users to build their own custom dashboards using Qrvey’s multi-tenant security layer and embedded builders.
Embedded Data Visualization
Advanced data visualization tools for intuitive insights through interactive charts and real-time dashboards for healthcare.
Support
Your success is our success. Our award willing support team is with your every step of the way.
Analytics for Those Who Want More
Build Less Software. Deliver More Value.
FAQs About Healthcare Analytics
Is Qrvey HIPAA compliant?
As a self-hosted embedded analytics solution, our goal is to ensure you maintain your HIPAA compliance. Data never leaves your environment and our software is self-contained.
What sets Qrvey apart from other healthcare analytics providers?
Qrvey takes a different approach to embedded analytics by starting with data, not charts.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards.
Qrvey offers:
- Everything is a JS embed, no iFrames
- Dashboards and builders
- Dataset creation for individual users
- No-code workflow automation
- Full white-labeling and CSS support
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
What kind of support and training does Qrvey offer to its clients?
Every customer has direct access to support and customer success. During your free POC period, we even give you a dedicated Slack channel where our engineers participate for those deeply technical questions.
Why is Healthcare Analytics software important to healthcare organizations?
Healthcare analytics software, sometimes referred to as medical analytics software, is important to healthcare organizations for several key reasons:
- Improves clinical outcomes – Analytics helps identify high-risk patients, enables early interventions, and guides treatment plans to improve patient health.
- Optimizes operations – Analytics increases workflow efficiency by optimizing scheduling, staffing, bed allocation and other hospital operations.
- Reduces costs – By analyzing patient data, healthcare organizations can reduce readmissions, avoid unnecessary tests, and cut operational waste, thereby reducing costs.
- Enhances patient engagement – Analytics helps segment patients for tailored engagement strategies to improve satisfaction, loyalty, and outcomes.
- Supports value-based care – In a fee-for-value model, analytics helps identify care gaps, monitor quality metrics, and demonstrate value to payers.
- Enables data-driven decisions – Analytics provides data-backed insights to inform strategy and planning around new programs, expansions, investments, etc.
- Identifies revenue opportunities – By analyzing physician referrals, service utilization, market trends, hospitals can identify new revenue streams.
- Assesses risks – Analytics adopts statistical and AI models to predict risk of diseases, readmissions, infection outbreaks, etc.
- Maintains regulatory compliance – Auditing analytics helps hospitals meet quality reporting requirements and highlights areas of improvement.
Can agencies use healthcare analytics software such as Qrvey?
While there are many types of healthcare analytics solutions for agencies, Qrvey’s unique approach offers a multi-tenant ready solution that can speed up development time for agencies looking to serve multiple clients.
How can prospective clients get started with Qrvey's healthcare analytics solutions?
Qrvey offers every customer a free POC to test us out within your environment. We’re not here to rush you through a trial. We want you to be successful and we know that means seeing it live within your cloud platform first hand.
What is Healthcare Analytics?
Healthcare analytics leverages data analysis and statistical techniques to uncover meaningful patterns and insights from the vast amounts of data generated in healthcare. By collecting and examining large datasets like patient medical records, financial records, and operational data, healthcare analytics enables data-driven decision-making and enhances outcomes in the healthcare industry.
What specific benefits can healthcare providers expect from using Qrvey?
Qrvey’s customers can expect to achieve:
- Faster development time to market
- Lower infrastructure costs for analytics
- ROI from adding analytics as part of premium tier packages
- Increase in CSAT or NPS
- New monetization opportunities
What are common use cases of Healthcare Analytics?
It can be used for various purposes, such as predicting disease outbreaks, identifying high-risk patients, optimizing treatment plans, improving resource allocation, and evaluating the effectiveness of healthcare interventions.
Who are the typical users of Healthcare Analytics?
Healthcare analytics enables healthcare providers, administrators, and researchers to identify patterns, trends, and correlations in the data, leading to improvements in patient care, operational efficiency, cost management, and decision-making.