Computable Interoperability: Advancing Health Data Management

The healthcare industry is swiftly transitioning to modern data management platforms driven by cloud-based architecture. This transformation facilitates real-time interoperability and enhances data management efficiency.

Computable Interoperability: Advancing Health Data Management
HL7 Da Vinci Project
54 views • Mar 12, 2025
Computable Interoperability: Advancing Health Data Management

About this video

The healthcare industry is rapidly evolving towards modern data management platforms powered by cloud-based architecture. This shift enables real-time interoperability, advanced analytics, and scalable solutions to handle the increasing complexity of health data, driven by regulations like CMS-0057 for the Access APIs and prior authorization. By transitioning from a fragmented data silos, organizations can unify disparate clinical and administrative data, enabling seamless exchange through FHIR APIs. Da Vinci implementation guides ensure standardized data sharing, reducing inefficiencies and improving care coordination. With the ability to manage vast volumes of structured and unstructured data in real time, health plans, providers, and digital health companies can enhance decision-making, streamline operations, and improve care quality—ensuring a future-proof strategy for data-driven healthcare.

Presenters:
Karthik Suresh Kumar, Sr. Product Manager, Amazon Web Services
Daniel Templeton, Vice President, Engineering, 1upHealth

This session was presented at HIMSS25 in Las Vegas, NV on March 6, 2025. Slides are available to review at https://confluence.hl7.org/display/DVP/Da+Vinci+Video+Presentations.

Video Information

Views

54

Duration

19:45

Published

Mar 12, 2025

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