COVID-19: How Lightbeam is providing resources and support to clients. Learn More.
Bringing disparate data together to create brilliant outcomes.
Visibility is essential to population health management. Lightbeam’s robust data management infrastructure automates the aggregation and normalization of clinical data from EHRs and other sources such as claims data from payers, test results and past treatment. The platform even flags services received outside of network.
It’s all right there, giving you the visibility to make the most informed decisions when directing healthcare resources.
Our enterprise data warehouse (EDW) consumes and stores everything from discrete clinical and claims data to social and other data in one central repository. Lightbeam automatically deduplicates and normalizes patient records that come from different sources.
Depending on your organization and data flow, we offer MPI or EMPI, creating a single source of truth so every patient has one information-rich record. Since you know your population best, you can easily set the patient-matching threshold.
By effectively unifying claims, clinical and other patient data into one easily accessible location, Lightbeam is revolutionizing the way our clients manage patient care, driving better outcomes and lowering the cost of healthcare.
Third-party security assessments completed include a HIPAA risk assessment, SOC 2 type II compliance, NIST, FISMA auditing and external vulnerability assessments. The platform is housed in SSAE 16 compliant data centers designed to exceed HIPAA standards. Our firewalls include IPDS, we monitor logs daily, and all data is maintained in an encrypted format.
We safeguard user access with client-defined password requirements. All data is protected and encrypted.
Our platform supports multiple layers of organizational hierarchy above the provider level. Not only can you drill down into information from a reporting perspective, but you can assign boundaries for data access around user roles and hierarchy levels, protecting information crossover and respecting privacy.
