[Healthcare]

The Challenge of Interoperability

Data assets in healthcare companies need to be standardized with common codes, identifiers and models before integration and interoperability can be achieved

Summary

Global IDs provides customized versions of its products for specific industries.

Healthcare is shifting toward more outcomes-based treatment, which requires collective data sharing. And as if gathering, linking, sharing and aggregating all this patient information weren’t challenging enough, the data must be kept private, secure and HIPAA compliant.

For healthcare organizations, we have attempted to make our products "aware" of :

  • Industry-specific master data (providers, patients, policies, etc.)
  • Industry-specific reference data (ICD-9, ICD-10, etc.)
  • Industry-specific messaging standards (HL7, etc.)
  • Industry-specific glossaries (MeSH, SNOMED, etc.)
  • Industry-specific ontologies
  • Industry-specific identifiers (HIPAA, etc.)

Additional industry-specific concepts can be easily incorporated into the software so that it is primed to recognize the unique semantics associated with the industry. These industry-specific versions of our products address multiple industry challenges related to:

  • Provider Master Data Governance
  • Regulatory Compliance (PCI)
  • Data Privacy (PII)

Industry Challenge: Complexity & Cost

Data infrastructures in healthcare organizations are very costly to maintain. After decades of M&A, the accumulated network of applications and databases has become so complex that it is difficult to understand the flow of information across the data landscape.

This lack of "systemic" understanding leads to high costs for maintenance and new application development. It also creates a variety of problems for organizations:

  • High cost of data storage and management
  • Integration projects are difficult to fund and sustain
  • Reduced appetite / budgets for new innovation
healthcare data infrastructures

Our Solution: Systematic Cost Reduction

The Global IDs machine-centric approach to master data management creates a foundation for firms to manage their data assets. Through automated discovery, data profiling, quality analysis and metadata documentation we allow companies to create transparency, enhance accuracy and reduce the resources required to manage data assets.

The goal of the software is to systematically reduce costs associated with master data management. We believe that significant cost savings are possible at the data ecosystem level.

master data management cost reduction

Use Cases / Projects

1) PHI / PII Sensitive Data Identification

Health insurance organizations are expected to protect sensitive data related to PHI (Personal Health Information) and PII (Personally Identifiable Information). Non-compliance with sensitive data protection and HIPAA regulations can lead to large fines for healthcare companies.

The Global IDs Data Profiling Product Suite was specifically customized to discover, profile and monitor the data ecosystem for sensitive data domains. This functionality was widely used by organizations to scan their data ecosystems and mask/encrypt sensitive data.

 

2) Provider Master Data Mapping and Governance

Healthcare companies have their provider data distributed across hundreds of databases in their data landscapes. The Global IDs Data Profiling Product Suite can scan the data landscape for provider data and map the data.

Subsequent steps can be taken to govern and integrate provider data.

 

3) ICD10 Data Conversion

A regulatory mandate requiring the use of ICD-10 codes by October 2015 led many healthcare organizations to initiate projects for ICD-9 to ICD-10 conversion.

The need to automatically identify all ICD-9 Codes in all structured and unstructured data sources across the data landscape was a necessary step in the process. Since ICD codes are global identifiers, we modified the Global IDs EIM Suite to accommodate the rules and semantics related to ICD codes.

 

4) Data Ecosystem Profiling

As CIOs of health insurance organizations attempt to rationalize their redundant data environments, they must first have a good understanding of the data assets that are present in their enterprise databases. For organizations with thousands of databases, this can be a difficult task.

The Global IDs Data Profiling Suite was specifically created to help organizations automatically inventory their data assets. Large healthcare organizations can use the software to create transparency into their data ecosystem and use this knowledge to decommission, rationalize, merge and simplify their data infrastructure.

Next Steps

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