1up FHIR Platform
1up Patient Connect
1up Population Connect
1up Comply
1up Exchange
1up Analyze
1up Population Connect
Make better decisions with patient population data imported from top EHRs
- For
- Payers
- Providers
- Digital Health
Imagine what you could do with near real-time, population-level clinical data.
Unfortunately, healthcare data is often siloed and fragmented across the healthcare ecosystem, making it difficult for payers, providers, and digital health companies to operate efficiently and make good, data-backed decisions. Legacy, non computable data formats like HL7v2 and CCDA, along with a high volume of chart requests and manual processes, add to the complexity.
Effective decision making – whether focused on improving clinical or financial outcomes – can only happen when clinical and claims data is easy to acquire, standardized for data sharing, and combined for a complete view of the patient. Streamline your clinical data acquisition strategy with 1up Population Connect.
100M+
100+ million medical record requests are made to healthcare providers every year.
90%
90% of those requests are fulfilled using manual methods, such as paper, mail, or fax.
$25B
$25 billion cost of using these antiquated approaches to the healthcare system every year.
Access population-level clinical data, make better decisions
1up Population Connect enables payers, providers, and digital health companies to access clinical data from top EHRs at the patient population level at regularly scheduled intervals in order to make decisions that improve financial and health outcomes. With 1up Population Connect, you can stop chasing charts and start driving clinical and operational improvements with combined EHR and claims data standardized on FHIR.
How 1up Population Connect works
Connects to multiple provider sites and EHRs using open FHIR® APIs and clinical endpoints
Imports clinical data from EHRs using your list of patients
Stores EHR data in the 1up FHIR Platform
Converts HL7v2 and CCDA data into the standard FHIR format
Aggregates internal claims data with external clinical data to build a complete patient view
Streamlines enterprise-level access for downstream use cases
1up Population Connect Features
- Regularly scheduled import of EHR data for populations of patients
- Extensive network with integration with top EHR vendors
- HL7v2-to-FHIR conversion
- CCDA-to-FHIR conversion
- Access to EHR data in FHIR
- Enterprise-level access
The upside of 1up Population Connect
Centralized
Access EHR and internal data in native FHIR format from one central location.
Complete
Build a complete patient view by combining EHR data with your internal data.
Robust
Enrich your existing analytics with EHR data to generate more robust and timely insights and inform business and care decisions.
Secure
Secure and compliant with HIPAA and population-level data exchange.
The upside of 1up Population Connect
Centralized
Store EHR and internal data in the FHIR format in one central location.
Complete
Build a complete patient view by combining clinical data with your internal data.
Comprehensive
Enrich your existing analytics with EHR data to generate more robust and timely insights and inform business and care decisions.
Computable
Transform clinical data from legacy formats to the computable FHIR format for analysis.
Secure
Secure and compliant with HIPAA and population-level data exchange.
Efficient
Improve efficiency of clinical data acquisition processes across provider sites and various EHRs.
Cost Effective
Reduce costs of chasing charts and building custom ingestion pipelines.
Accessible
Streamline enterprise-level access to clinical and claims data for downstream use cases.
Scalable
Built for variation, aggregation, and scale.
Drive results with 1up Population Connect
Provide additional services to meet your populations’ needs
Increase offerings like third-party disease management support or add specialists in key areas over time based on trends in the data.
Better value-based care discussions and reporting
Have more productive discussions with the ACOs and risk-bearing organizations you’re partnering with and more accurately report on the outcomes achieved with access to more timely data.
Make process and policy improvements
Take a closer look at key areas, like SNF utilization and readmissions, using explicit clinical data instead of assumptions made off of delayed claims data.
Shrink gaps in care
Focus your resources where individuals need additional care and treatment, based on upstream data points not previously available to you.
