Author: maestro

New data models MedicationAdministration and Claim

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Happy new year the last two data models of 2022

See it in subject Hl7 in the Smart Health domain.

  • Claim. A provider issued list of professional services and products which have been provided, or are to be provided, to a patient which is sent to an insurer for reimbursement.
  • MedicationAdministration. Describes the event of a patient consuming or otherwise being administered a medication. This may be as simple as swallowing a tablet or it may be a long running infusion. Related resources tie this event to the authorizing prescription, and the specific encounter between patient and health care practitioner.

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New data model Organization at Hl7 subject (Health)

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There is a new data model for the subject Hl7, Organization for this health sector.

See it in subject Hl7 in the Smart Health domain.

  • Organization: A formally or informally recognized grouping of people or organizations formed for the purpose of achieving some form of collective action. Includes companies, institutions, corporations, departments, community groups, healthcare practice groups, payer/insurer, etc.

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SQL export available for Postgresql

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There is a new file ‘schema.sql‘ in all the directories of the data models. It is a SQL script for PostgreSQL.

The script creates the structure of a relational table containing the attributes defined in the data model. It also creates the data types for those attributes with an enumeration of values.

For those attributes being arrays or objects, it creates a JSON attribute (allowed in PostgreSQL).

If you need additional features in this export please report them to info@smartdatamodels.org.

See an example.

Postgresql elephant

Sargon ontology available for mapping with Smart Data Models

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There is a service for mapping any smart data models with one (or several) external ontologies. Now the SARGON ontology 1.0 for energy is available for this mapping.

The Sargon mapping file is located in the ontologies_files folder ad the umbrella repository data-models.

The description of SARGON is below.

SARGON ( SmArt eneRGy dOmain oNtology ) is an open-source effort to define semantic descriptions of the smart assets in building automation and smart grid and the relationships between them. SARGON consists of an extensible dictionary of terms and concepts in and around buildings and smart grids, a set of relationships for linking and composing concepts together, and a flexible data model permitting seamless integration of SARGON with existing tools and databases. Through the use of powerful Semantic Web technology, SARGON can describe the broad set of Devices and custom features, assets and subsystems found across the building stock in a consistent matter.

Draft of a python package available

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Now we have a draft version of a python package to integrate the smart data models with your developments. It is a beta version so you can expect some issues when using it. We will be glad if you report it at info@smartdatamodels.org or suggest new features. Thanks to Anthony Uphof for his contributions (only a few of them are in this draft, next version will include them)

To install

pip install -i test.pypi.org/simple/ pysmartdatamodels

The functions included are:

1- List all data models. Function list_all_datamodels()

2- List all subjects. Function list_all_subjects()

3- List the data models of a subject. Function datamodels_subject(subject)

4- List description of an attribute. Function description_attribute(subject, datamodel, attribute)

5- List data-type of an attribute. Function datatype_attribute(subject, datamodel, attribute)

6- Give reference model for an attribute. Function model_attribute(subject, datamodel, attribute)

7- Give reference units for an attribute. Function attributes_datamodel(subject, datamodel)

8- List the attributes of a data model. Function attributes_datamodel(subject, datamodel)

9- List the NGSI type (Property, Relationship or Geoproperty) of the attribute. Function ngsi_datatype_attribute(subject, datamodel, attribute)

11- Print a list of data models attributes separated by a separator. Function print_datamodel(subject, datamodel, separator, meta_attributes)

12- Update the official data model list or the database of attributes from the source. Function update_data()

New data models Citation and Immunization at Hl7 subject (Health)

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In the subject, Hl7 is being progressively mapped

The following data models Citation and Immunization are mapped. In order to make it compatible with NGSI-LD some minor adjustments were necessary: 1) A limit in the recursive definition of data models has been applied (only 4 levels). 2) Modify the coding attribute to meet the examples.  3) Added the attribute type to be compatible with NGSI.

There are another 135 data models in the queue, and we hope they will be available soon. And other minor adjustments have been also included in the specification.

See it in subject Hl7 in the Smart Health domain.

  • Citation. The Citation Resource enables reference to any knowledge artifact for purposes of identification and attribution. The Citation Resource supports existing reference structures and developing publication practices such as versioning, expressing complex contributorship roles, and referencing computable resources.
  • Immunization. Describes the event of a patient being administered a vaccine or a record of immunization as reported by a patient, a clinician, or another party.

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New data model WaterQualityPredicted at WaterQuality subject

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A new data model for water quality prediction is being released based on the actual use cases. Located at the water quality subject.

Thanks to the project https://www.digital-water.city/ for its contribution

  • WaterQualityPredicted. Water Quality Predicted data model is intended to represent predictions of water quality at a certain water mass (river, lake, sea, etc.) section

Thanks to the contributors.

 

New data model Practitioner at HL7 subject (Health)

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In the new subject, Hl7 is being progressively mapped

The following data model is the Practitioner data model. In order to make it compatible with NGSI-LD some minor adjustments were necessary: 1) A limit in the recursive definition of data models has been applied (only 4 levels). 2) Modify the coding attribute to meet the examples.  3) Added the attribute type to be compatible with NGSI.

There are another 137 data models in the queue, and we hope they will be available soon. And other minor adjustments have been also included in the specification.

See it in subject Hl7 in the Smart Health domain.

  • Practitioner. A person who is directly or indirectly involved in the provisioning of healthcare.

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New Observation data model at the new subject SDMX

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SDMX is a standard for the codification of statistical information. Retrieving these types of data and inserting them in systems based on JSON/JSON-LD is a tough task performed by the project Interstat.

Thanks to its collaboration we have a new subject, dataModel.SDMX where these data models for mapping this standard will be located. this subject belongs to the Cross-Sector domain.

The first one is the Observation data model.

  • Observation. A single observation in the SDMX Cube, may have one or more associated measured values

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New database of data models’ versions

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In the main menu, it has been extended the submenu of list data models with a complete database of all versions of the data models.

It includes not only the data model, subject, and version but also the data directly linked to the raw version of the data model.

You can find it at Home -> List of data models -> List of data models versions.

Semantic-versioning