
Performance Insights Across an Entire Practice
Automations and alerting allow you to stay informed
Analyze payer data to find anomalies
Combine data sources to unify reporting tools
With a focus on security, Qrvey’s embedded analytics platform enables teams to safely analyze sensitive data, from individual patient records to entire healthcare practice performance all within your SaaS application or internal portal.
Qrvey is deployed directly to your AWS environment for industry-leading security and scalability. Built on serverless technology from AWS, infrastructure costs are drastically lower while still giving you the best in data security.
Learn More About Qrvey’s Deployment ModelQrvey ingests any data type – SQL, NoSQL, and unstructured data sources like forms and images – and enables analysis from multiple sources on a single dashboard. Qrvey is fully compliant with the HL7 FHIR patient medical record standards.
Learn More About FHIR AnalyticsQrvey’s connects directly to the AWS AI suite to power real-time machine learning augmentation.Since Qrvey deploys to your AWS VPC and analyzes data in real-time, this eliminates the need to copy data outside your AWS environment or use costly third-party ETL solutions with AI and ML.
Learn More About Qrvey’s Data ManagementQrvey supports many use cases with a security-first approach. Through an embedded analytics layer built into SaaS applications or internal portals, Qrvey accelerates time to value while allowing teams to build custom dashboards within one system.
Automations and alerting allow you to stay informed
Analyze payer data to find anomalies
Combine data sources to unify reporting tools
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
Spot trends early with comprehensive automations
Analyze trial spend in real-time
Connect to AI services for in-depth analysis
Collect real-time patient feedback
Analyze outcomes as the data comes in
Native automation and alerting to stay current
Download this extended report to learn how the Qrvey embedded analytics solution enables providers, administrators, researchers, and more with a customizable solution to meet the varying needs of any team.
Download ReportQ: What is Healthcare Analytics?
A: 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.
Q: Who are the typical users of Healthcare Analytics?
A: 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.
Q: What are common use cases of Healthcare Analytics?
A: 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.