Care Aligned. Health Empowered. Value Delivered™
HSBlox brings patient-centric solutions to the healthcare ecosystem, enabling SDoH stakeholders to collaborate in a distributed intelligence network to improve the health and welfare of patients. Our SOC 2 Type II platform combines distributed ledger technology and machine learning for integrated, secure, and real-time information sharing---governed by patient consent.
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™ A complete solution for connection and administration of community care networks---optimizing referrals and closing the loop for healthy outcomes
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 solutions to these challenges using distributed ledger technology and machine-learning approaches.
Patient needs are not being addressed with respect to personal medical records and control of patient data and integration of patient-generated data is not easily done. HSBlox solutions put the patient in charge.
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 logistics and chain of custody processes lack integration, visibility and interoperability amongst systems and stakeholders, and are susceptible to losses and delays. HSBlox solutions use DLT technology to track and trace products and samples through clinical trials, supply chains and distribution networks while providing stakeholders 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.