Unlock the Power of Healthcare Analytics

Transform your healthcare data into actionable insights

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Empowering Healthcare Analytics Teams

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.

Deploy Qrvey in Your Existing AWS Environment for the Ultimate Data Security

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.

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AWS Native Analytics

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 sources on a single dashboard. Qrvey is fully compliant with the HL7 FHIR patient medical record standards.

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FHIR Analytics

Gain Deeper Insights with AI

Qrvey’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.

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Improve Outcomes and Performance Using Your Data

Qrvey 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.

Performance Insights Across an Entire Practice

Granular Analysis to Uncover Patient Trends

Clinical Trial Data

Examine Large Data Volumes

Patient care data

Provide the Best Care Possible

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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.

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Frequently Asked Questions

Q: 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.