ORM best practices

This page documents a number of best practices when it comes to persisting RIM-based objects, and *O-CP/RP cell transitions.

ER database

This section discusses some of the best practices for those applications that map RIM objects to an E-R database structure.
Note to readers: the reader is assumed to be aware of the characteristics of the object data model, the entity-relationship (ER) data model and the entity-attribute-value (EAV) data model.

• See ORM for references.

Specific References

• http://www.slideshare.net/AShakir/rim-based-relational-database-design-tutorial-september-2008

Introduction

The purpose of this white paper is to describe a process for transforming the Health Level Seven (HL7) Reference Information Model (RIM) into a Logical Data Model (LDM) and a Physical Data Model (PDM). The HL7 RIM is a conceptual data model built and maintained by HL7 to be used as a source of the data content portion of HL7 standards. Because it is a conceptual data model, the RIM is not well suited to be used as the design of a relational database schema. The RIM contains abstract classes, complex datatypes, and generic business rules that need to be resolved and reconciled to form a LDM. LDM can be mapped to its PDM via Hibernate o-r mapping tool for the target databases MySQL and Oracle.

A series of refinement steps is required to transform the RIM into a LDM that would be useful as input to design of a database schema. The steps are designed to render a less abstract model with normalized data structures and realm specific business rules. The resulting LDM is well suited for use in database design activities. The LDM is technology independent and to some extent application independent. As application design begins the LDM will be used as input and further transformed into a PDM. The PDM will consider the technological implications of the database schema including items such as the capabilities of the target database management system (DBMS), tuned for a typical OLTP application with 300 concurrent end users logged in.

Scope

The classes and datatypes in the HL7 RIM are grouped into logical packages. There are six core packages in the RIM, other packages are used for administrative and model management purposes only. The Entities, Roles, and Acts packages contain the respective entity, role, and act generalization hierarchies and dependent classes. The Datatypes package contains all of the defined version 3.0 datatypes. The Structured Documents and Message Control packages contain classes that represent artifacts peculiar to HL7 messaging and clinical document architecture standards. For the purpose of our example model only a subset of classes of Acts, Datatype, Entities, and Roles packages will be considered within scope of the paper.

To keep this paper simple, let's select only the relevant attributes:

Resolving Generic Datatypes

These Data Types are included into the JavaSIG package: org.hl7.types.impl The relative java wrappers (WrappingBagAccessor, WrappingSetAccessor, WrappingListAccessor) are included into the package: org.hl7.hibernate

“IVL”, “EIVL” or “PIVL” Datatype

• Entity.existence_time : IVL <TS>

 Entity.existence_start_time : TS
 Entity/existence_end_time : TS

• Manufactured_material.stability_time : IVL <TS>

 Manufactured_material.stability_time_start : TS
 Manufactured_material.stability_time_stop : TS

• Act.repeat_number : IVL<TS>

 Act.repeat_number_start : TS
 Act.repeat_number_stop : TS

• Supply.expected_use_time : IVL<TS>

 Supply.expected_use_time_start : TS
 Supply.expected_use_time_stop : TS

• SubstanceAdmnistration.rate_qty: IVL<PQ>

 SubstanceAdmnistration.rate_qty_start : PQ
 SubstanceAdmnistration.rate_qty_stop : PQ

• SubstanceAdmnistration.dose_qty: IVL<PQ>

 SubstanceAdmnistration.dose_qty_start : PQ
 SubstanceAdmnistration.dose_qty_stop : PQ

• Account.allowed_balance_qty: IVL<MO>

 Account.allowed_balance_qty_start: MO
 Account.allowed_balance_qty_stop: MO

• RoleLink.effective_time: IVL<TS>

 RoleLink.effective_time_start: TS
 RoleLink.effective_time_stop: TS

• Role.effective_time: IVL<TS>

 Role.effective_time_start: TS
 Role.effective_time_stop: TS

• Participation.time:IVL<TS>

 Participation.time_start: TS
 Participation.time_stop: TS

“SET”, “DSET”, “QSET” or “List” Datatypes

• Entity.id : SET<II> ==> Enity_Identifier.
• Entity.status_cd : SET<CS> ==> Entity.status_cd : CS
• Person.ethnic_group_cd : SET<CE> ==> Person.ethnic_group_cd : CE
• Person.race_cd : SET<CE> ==> Person_Race.
• Entity.qty : SET<PQ> ==> Entity.qty PQ
• Person.religious_affiliation : SET<CE> ==> Person.religious_affiliation : CE
• Act.id: SET<II> ==> Act_Identifier
• Act.priority: SET<CE> ==> Act_Priority
• Act.confidentiality_cd: SET<CE> ==> Act_Confidentiality
• Act.reason_cd: SET<CE> ==> Act_Reason
• PatientEncounter.special_courtesies_cd: SET<CE> ==> PatientEncounter_Courtesies
• PatientEncounter.special_arrangement_cd: SET<CE> ==> PatientEncounter_Arrangement
• Procedure.method_cd: SET<CE> ==> Procedure_method
• Procedure.approach_site_cd: SET<CE> ==> Procedure_approach_site
• Procedure.target_site_cd: SET<CE> ==> Procedure_target_site
• Observation.interpretation_cd: SET<CE> ==> Observation_interpretation
• Observation.method_cd: SET<CE> ==> Observation_method
• Observation.target_site_cd: SET<CD> ==> Observation_target
• SubstanceAdministration.approach_site_cd: SET<CD> ==> SubstanceAdministration_approach_site
• SubstanceAdministration.dose_check_qty: SET<RTO> ==> SubstanceAdministration_dose_check
• SubstanceAdministration.max_dose_qty: SET<RTO> ==> SubstanceAdministration_max_dose
• SubstanceAdministration.method_cd: SET<CD> ==> SubstanceAdministration_method
• InvoiceElement.modifier_cd: SET<CE> ==> InvoiceElement_modifier
• DeviceTask.parameter_value: LIST<ANY> ==> DeviceTask_parameters
• Role.id: SET<II> ==> Role_identifier
• Role.confidentiality_cd: SET<CE> ==> Role_confidentiality
• Role.position_number: LIST<INT> ==> Role_position
• ManagedParticipation.id: SET<II> ==> ManagedParticipation_identifier
• Document.bibliographic_designation_txt: SET<ED> ==> Document_Designation

Note: SET<CS> type for Entity.status_cd has been simplified to a single CS value (except Person.race_cd).

“BAG” Datatypes

• Entity.nm : BAG<EN> ==> Enity_Name.
• Entity.telecom : BAG<TEL> ==> Entity_Telecom_Address.
• Organization.addr : BAG<AD> ==> Organization_Address.
• Person.addr : BAG<AD> ==> Person_Address.
• Role.name BAG<EN> ==> Role_name
• Role.addr: BAG<AD> ==> Role_address

XML database

This section discusses some of the best practices for those applications that map RIM objects to a XML database.
Note to readers: the reader is assumed to have basic knowledge of XML Databases.

• It has the advantage that full fidelity (of the XML) is maintained. The use of an XML database makes sense if one only has to support CDA, in which case the XML version has to persisted, even if the data contained therein is stored in a structured fashion.
• It has the advantage that one doesn't need any joins (depending on how big of an XML snippet one persists, could be the entire message/CDA message type, or it could just be a series of derived XML snippets, e.g. the CDA part which identifies the Patient).
• It has the disadvantage that XQuery is a standard unfamiliar to most, one implementation had to export data to ER-based Datamarts - these Datamarts where queried using SQL to do statistical/clinical analysis of the data.

Best practices:

• If one received data according to different Message Types, the clone names used for classes will be different. To use XQuery, one has to transform the XML (as received) into an alternative representation which is based on names of RIM classes. This allows for XQuerying across all data received, regardless of the clone names used in any particular model. If persistence isn't limited to one single message type (e.g. the CDA R-MIM for some applications) the use of the RIM ITS should be seen as a necessity.