Transforming Gold into a Unified Data Marketplace: The Role of Coperor HDMP in Accelerating Databricks’ Value Delivery

Healthcare organizations are constantly seeking ways to unlock the full potential of their information, but are often hamstrung by fragmented, inconsistent data sprawled across disparate systems. Databricks’ Delta Lake platform has simplified data storage and processing with their pioneering data lakehouse architecture. In our previous blog, we explored how Delta Lake is a major step forward, but ensuring quality, consistent data to transform raw data into refined data still requires developers to write thousands of lines of complex code.

Gaine’s Coperor Health Data Management Platform (HDMP) circumvents this effort and enables your organization to transform gold-level data into a unified, dynamic data marketplace. Let’s explore how Coperor HDMP enhances the Databricks ecosystem and creates a more intelligent, accurate, and real-time data environment.

Beyond Data Lake: Gaine’s Vision for Healthcare Information Flow

Coperor HDMP doesn’t just stop at data storage and processing. It creates a symbiotic relationship between operational systems and the Integration Hub, fostering a dynamic exchange of data. This approach ensures that data isn’t just stored but is actively utilized and enriched throughout the healthcare network.

The Integration Hub serves as the central nervous system of this data ecosystem, orchestrating the flow of information between various systems. It’s designed to handle the complexities of healthcare data, from patient records to claims processing, ensuring that each piece of information finds its way to where it’s needed most.

Opt-In Sync™: Tailored Data Distribution

One of Coperor’s standout features is its Opt-In Sync™ functionality. This innovative approach allows system administrators to selectively synchronize data updates, subscribing only to the elements needed for their specific use case. For instance, an operational application might only need updates when a patient’s risk score crosses a certain threshold. This granular control reduces unnecessary data traffic and enhances overall system performance.

The Opt-In Sync™ feature is particularly crucial in healthcare settings where data privacy and efficiency are paramount. By allowing systems to receive only the data they need, Coperor minimizes the risk of data breaches while optimizing system resources.

Ensuring Data Integrity and Quality

Coperor takes a proactive approach to data management, implementing rigorous protocols at every stage of the data lifecycle:

In-flight Data Management: Coperor evaluates data quality at each step, identifying and correcting issues early in the process. This prevents the propagation of erroneous data to the analytics layer. By catching and resolving issues at the source, Coperor ensures that only high-quality data makes its way through the system.

Audit Protocols: Acting as a safeguard against data corruption, these protocols ensure that only verified and accurate data reaches the analytical processing stage. These audit trails provide a comprehensive record of all data transformations and movements, enabling organizations to maintain compliance with healthcare regulations and ensure data integrity.

Integration with Databricks: Coperor’s audit logs can be integrated as a distinct event stream within Databricks, providing valuable insights into data anomalies such as missing or duplicate claims. This integration enhances the analytical capabilities of Databricks, allowing for real-time monitoring and analysis of data quality issues.

Bridging Analytics and Operations

One of Coperor’s most powerful features is its ability to publish insights generated in Databricks back into operational systems. The platform reverse-engineers the data feeds required by each connected system, ensuring seamless integration. For example, a patient risk score generated in Databricks can be published to any operational system with patient data, using the internal IDs, data formats, and preferred integration patterns of each system.

This bi-directional flow of information creates a closed-loop system where insights derived from analytics can immediately inform and improve operational processes. It’s a game-changer for healthcare organizations looking to become truly data-driven in their decision-making processes.

Mastering Time-Series Data Challenges

Healthcare data often involves complex time-series information, especially when dealing with claims events and changing member circumstances. Coperor addresses these challenges by serving as a dynamic framework that accommodates the historic dimensions of each transaction.

Tracking Members and Providers Over Time

Consider the example of John and Jane, a couple navigating life’s milestones. As they move through different insurance plans, employment changes, and evolving relationships with healthcare providers, their data becomes increasingly complex. Most payers would store multiple records for each individual across different life stages.

Coperor, however, automatically builds a single profile for each individual, including relationships between individuals, employees, and plans. It manages all maintenance of member records, history, and relationships without the need for developing and maintaining additional code in Databricks.

This comprehensive approach to member tracking allows healthcare organizations to maintain a holistic view of each individual’s healthcare journey. It enables more personalized care, more accurate risk assessments, and better-informed decision-making at both the individual and population levels.

Enhancing Provider Data Management

Just as member data evolves over time, so does provider information. Coperor excels in managing the complex relationships between healthcare providers, insurance plans, and billing organizations. For instance, it can track a doctor’s transitions between different Independent Physician Associations (IPAs), changes in contract status with various insurance plans, and updates to billing rates.

This detailed tracking of provider information is crucial for accurate claims processing, network management, and ensuring patients have access to in-network care. By maintaining a comprehensive and up-to-date provider database, Coperor helps healthcare organizations avoid billing errors, improve network adequacy, and enhance the overall patient experience.

Streamlining Data Integration and Transformation

Coperor’s Integration Hub plays a crucial role in streamlining data integration and transformation processes. It acts as a central clearinghouse for all data flowing between operational systems and the analytics environment. The Hub’s sophisticated logic handles the complex task of mapping data between different systems, ensuring that information is correctly formatted and aligned regardless of its source or destination.

This centralized approach to data integration significantly reduces the burden on IT teams. Instead of managing multiple point-to-point integrations, organizations can rely on Coperor’s Integration Hub to handle the complexities of data movement and transformation. This not only saves time and resources but also reduces the risk of errors and inconsistencies in data handling.

Conclusion: Elevating Databricks to New Heights

Gaine’s Coperor HDMP doesn’t just complement Databricks’ Delta Lake platform; it elevates it to new heights of functionality and efficiency. With the most robust fit-for-purpose health data model available anywhere, Gaine can save months of development and deployment effort. By ensuring ubiquitous data customized to each user’s needs, enabling real-time insights and feedback, and managing complex time-series data, Coperor transforms the gold-level data in Databricks into a true unified data marketplace.

For healthcare organizations looking to maximize the value of their data assets, the combination of Databricks and Coperor HDMP offers a powerful solution. It not only streamlines data management but also unlocks new possibilities for data-driven decision-making and improved patient outcomes.

As the healthcare industry continues to generate vast amounts of data, the ability to not just store and process this information, but to make it truly actionable and interconnected, will be crucial. With Coperor HDMP, organizations can confidently navigate this data-rich future, turning their golden Databricks data into a goldmine of insights and operational efficiency.

By bridging the gap between analytics and operations, ensuring data integrity, and providing a comprehensive view of both member and provider data over time, Coperor HDMP positions healthcare organizations at the forefront of data-driven healthcare. It’s not just about having data; it’s about making that data work seamlessly across the entire healthcare ecosystem to drive better outcomes, improve operational efficiency, and ultimately, enhance patient care.

To learn more about how Coperor HDMP is a force multiplier for Databricks Delta Lake deployments, read Part I of our Databricks series to understand how it accelerates the journey from Bronze (raw) to Gold (refined data). Part II delves deeper into how Gaine enriches and propagates high quality, consistent, and ubiquitous data customized to each subscribing system’s needs.

For more information, click here to connect with a Gaine expert and discuss your healthcare data management needs.