THE CAREFLOW PLATFORM
Connected Care with Orchestrator
Careflow Orchestrator bridges healthcare data silos and integrates clinical workflows across the patient care continuum to support connected care.
Orchestrator provides secured privacy-compliant connectors for data integration and real-time data pipeline processing between data producers and consumers, such as EMRs, remote patient monitoring platforms, and AI model algorithms. It normalizes patient data flows, including medical procedures, medications, observations, vitals, and labs, into a patient-centric timeline (Careflow Timeline).
Taking foundations from various data sharing trust frameworks, including the IDS-RAM*, Orchestrator enables secure and standardized data exchange while ensuring data sovereignty for owners. Users maintain full control over their data, with the power to decide exactly who can access it.
*Reference Architecture Model of the International Data Spaces
Data and AI Model Integration
Orchestrator integrates and routes data flows between data producers and consumers, including hospital electronic health record systems, patient digital platforms (e.g., Thrive Health), and remote vitals monitoring devices. Additionally, Orchestrator bridges AI data silos by including AI model algorithms as data producers and consumers.
Easily Customizable Data Pipelines
Orchestrator provides easy-to-configure real-time and batch-mode data pipelines for data ingestion, extraction, transformation, and routing between various data producers and consumers. Pipelines have built-in support for AI model guardrails and lifecycle management, with the latter focusing on contextualization, validation, implementation, evaluation, and tuning.
AI Guardrails and Observational Analytics
Careflow supports AI guardrails covering technical controls, governance controls, and privacy and security protocols. While Orchestrator provides audit logs for compliance reporting and mechanisms with feedback loops via Careflow Insights, the platform module excels in offering valuable data pipeline analytics. With Orchestrator, users can access observational analytics on AI model flows, functionality, and data pipelines, allowing them to ensure smooth and reliable operations across all systems.
Normalized Patient Timeline
Grouped into dataset groups, data pipelines between data producers and consumers can be normalized into patient-centric longitudinal timelines. The aggregated patient timeline data can include medical procedures, medications, observations, vitals, labs, and questionnaire responses such as patient-reported outcome measurements.
Benefits of Orchestrator
Bridge Healthcare Silos
Integrate and interconnect patient data flows across patient care settings to bridge healthcare data silos.
Provide Patient-Centric Care
Seamlessly route data across systems to support patient care beyond the walls of the hospital.
Enhance Privacy and Security
Securely interconnect data with audit and compliance controls to ensure patient data privacy and security.