Check out our White Paper - Application of Blockchain in Clinical Research
Thought pieces about the use of blockchain and machine learning in healthcare and life sciences segments
In this paper we discuss how blockchain can generate real time access to lab and trial data for Pharma and CRO decision makers and permissioned stakeholders.
This is critical for Pharma companies whose success is defined by the breadth of portfolio and ability to maximize its value, including time to market.
We describe our project with a leading CRO tracking and sharing sample data using Digital Sample Manager - our chain of custody solution.
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.
