CDM v3.0

Last Updated 09/09/2024

Last Updated 09/09/2024
Intro to the HCCDM
Account
AllergyIntolerance
Claim
ClaimResponse
Condition
Coverage
Device
Encounter
EpisodeOfCare
ExplanationOfBenefit
Location
MessageHeader
Observation
Organization
Patient
Practitioner
PractitionerRole
Procedure
Provenance
RelatedPerson
ServiceRequest

Unlocking the Power of FHIR Data

Navigating the complexities of FHIR data to derive actionable insights can be a daunting task. The hierarchical nature of FHIR, while designed to capture the complexities of healthcare data, often proves challenging for those accustomed to working with traditional relational databases. The vast array of FHIR resources, each with its own structure, cardinality, and relationships, creates a steep learning curve when trying to extract meaningful information.

To address this, the Health Chain Common Data Model (CDM) offers a comprehensive solution. Health Chain CDM bridges the gap between the intricate structure of FHIR and the familiar framework of relational databases, enabling organizations to maximize the value of their data. By transforming FHIR resources into well-organized, flattened tables, Health Chain CDM empowers users to:

  • Easily query and analyze FHIR data: Complex FHIR structures are flattened into intuitive, queryable tables, simplifying the process of retrieving and analyzing data without losing its clinical richness.
  • Build data marts and generate analytical reports: With FHIR resources structured into relational tables, creating data marts and generating custom reports becomes seamless, helping organizations gain actionable insights faster and more effectively.
  • Seamlessly integrate FHIR data with downstream applications: The CDM facilitates the smooth integration of FHIR data into existing relational systems, improving interoperability and supporting a wide array of downstream use cases such as business intelligence, decision support, and analytics-driven care management.

Moreover, the Health Chain CDM is built on the solid foundation of HL7 FHIR R4 fundamentals, meticulously handling cardinality, resource references, and complex data types. This ensures that the integrity of the data is preserved, while also enhancing its accessibility for non-technical stakeholders. By accurately reflecting the richness of FHIR data, the CDM ensures consistency, scalability, and compliance with evolving data standards.

Health Chain CDM is designed with performance and scalability in mind, capable of handling large volumes of healthcare data without compromising speed or accuracy. Whether deployed in cloud environments or on-premises, it offers flexible configuration options to fit the unique needs of each organization.By leveraging the Health Chain Common Data Model, organizations can unlock the full potential of their healthcare data, transforming it into a valuable asset for operational efficiencies, clinical decision-making, and enhanced patient care.

Health Chain CDM by the numbers

Create as many data marts as possible and reports based on business requirements.

21

FHIR R4 and R5 Resources

21

Resource Core Tables
  • Account
  • Patient
  • Claim
  • Encounter

47

Resource Supporting Tables
  • Account_guarantor
  • Claim_insurance
  • Claim_payee
  • Encounter_diagnosis
  • Encounter_statushistory
  • Patient_contact

12

Data Type Supporting Tables
  • Codeableconcept
  • Reference
  • Contactpoint
  • Address
  • Humanname
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