Care Aligned. Health Empowered. Value Delivered™
HSBlox brings patient-centric solutions to the healthcare ecosystem at the intersection of value-based care and precision health --- empowering whole health in traditional care settings, the home and in our communities. Our SOC 2 Type II platform enables integrated, secure, and real-time information sharing.
Dedicated to bringing innovation and transparent economics to healthcare, HSBlox draws from its extensive experience in healthcare, digital supply chain, and fintech to deliver next-generation software applications.
CureAlign™ An event-driven platform for administration of value-based programs and whole-health initiatives. Manage and scale risk-based contracts, including payments and permissioned data exchange.
Yantra™ Yantra™
Extend your enterprise with cross-platform messaging, integration, and data exchange for mobile, remote and on-the-go communication
These programs require melding of structured and unstructured data, integration with multiple providers across the continuum of care, and permissioned disclosure of healthcare data. HSBlox has developed the CureAlign™ platform and solutions to address the many-to-many relationships required to operationalize value-based programs.
Patient needs are not being addressed with respect to personal medical records and control of patient data. HSBlox solutions enable consent management, secure data exchange and support for care-team coordination.
The healthcare system possesses an immense amount of rich, yet disparate data. HSBlox is applying its integration tools and machine-learning algorithms to aggregate, analyze, and report on data with unprecedented accuracy and insight.
Existing multi-stakeholder processes lack integration, transparency and interoperability amongst systems and participants. HSBlox solutions provide track & trace visibility to episodic and event-based programs, while providing participants and trading partners with precise and real time data.
The volume of healthcare data continues to increase exponentially—burdening healthcare organizations with the management of disparate data, interoperability challenges between source systems and the complexities of unstructured data.
Machine learning can be used to build models for patient risk scores, cost prediction and patient behavior, and tap into unstructured data, incorporate SDOH and IoT edge data, as well as reconcile with structured data.
Blockchain generates auditability and traceability between stakeholders. With a single source of truth that reduces errors and the need for reconciliation, it addresses patient privacy concerns and population health data requirements.