Postgraduate Diploma in Clinical Information Modelling with FHIR
Online 800-hour Postgraduate Diploma in Clinical Information Modelling with FHIR. 8 modules with HL7 FHIR R4, SNOMED CT and HAPI FHIR. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Understand the principles of clinical information modelling.
Describe FHIR's resource architecture, data types and REST API.
Represent clinical concepts using FHIR resources.
Link clinical data to terminologies such as SNOMED CT and LOINC.
Create profiles and implementation guides with FHIR Shorthand.
Transform data from HL7 v2 and CDA to FHIR.
Govern the quality and versioning of FHIR clinical models.
Who it's for
- Clinical interoperability engineer looking to specialise in Clinical Information Modelling with FHIR.
- Clinical information modeller looking to specialise in Clinical Information Modelling with FHIR.
- Healthcare terminology specialist looking to specialise in Clinical Information Modelling with FHIR.
- FHIR solutions architect looking to specialise in Clinical Information Modelling with FHIR.
- Healthcare integration analyst looking to specialise in Clinical Information Modelling with FHIR.
- Electronic health record consultant looking to specialise in Clinical Information Modelling with FHIR.
- Graduates in engineering or science seeking to enter digital health.
What you'll work with
- HL7 FHIR R4
- SNOMED CT
- LOINC
- ISO 27269 (International Patient Summary)
- ISO 13606 (communication of electronic health records)
- HL7 CDA R2
- ICD-10 (International Classification of Diseases)
8 modules · 800 h
1.1Structured versus unstructured data1.2Information and reference models1.3Levels of interoperability: technical, syntactic and semantic1.4History of HL7: v2, v3 and CDA1.5openEHR, ISO 13606 and FHIR1.6Detailed clinical models1.7Governance of clinical models1.8Use cases and information requirements1.9Clinician participation in modelling1.10Case study: information requirements for a discharge report
2.1Resources, data types and references2.2JSON, XML and RDF formats2.3REST API and CRUD operations2.4Search and query parameters2.5Bundles, transactions and documents2.6Versions R4, R4B and R52.7Capability Statement2.8Extensions and modifiers2.9Infrastructure resources: Provenance and AuditEvent2.10Laboratory: REST operations on a public FHIR server
3.1Patient, Practitioner and Organization3.2Encounter and EpisodeOfCare3.3Observation for vital signs and laboratory3.4Condition, AllergyIntolerance and Procedure3.5MedicationRequest and MedicationStatement3.6DiagnosticReport and ImagingStudy3.7Questionnaire and QuestionnaireResponse3.8CarePlan and Goal3.9Modelling patterns and antipatterns3.10Practice: FHIR modelling of an emergency department episode
4.1SNOMED CT: concepts, hierarchies and expressions4.2LOINC for observations4.3ICD-10 and ICD-114.4ATC and medicinal product nomenclature4.5UCUM for units4.6CodeSystem, ValueSet and ConceptMap4.7Terminology servers and $expand and $validate-code operations4.8Bindings and binding strength4.9Mappings between terminologies4.10Workshop: SNOMED CT ValueSet for cardiology diagnoses
5.1StructureDefinition and profiles5.2Cardinality constraints and must support5.3Slicing and discriminators5.4FHIR Shorthand (FSH) language5.5SUSHI tool and IG Publisher5.6International guides: IPS and US Core5.7National and European profiles5.8Validation of resources against profiles5.9Publication and versioning of guides5.10Laboratory: FSH profile of a blood pressure observation
6.1Mapping from HL7 v2 to FHIR6.2Transformation from CDA to FHIR6.3FHIR Mapping Language6.4Integration with OMOP and secondary use6.5SMART on FHIR and OAuth2 authorisation6.6CDS Hooks for decision support6.7FHIR Bulk Data for analytics6.8Integration engines: Mirth and similar6.9Conformance testing with Touchstone6.10Practice: converting ADT v2 messages to FHIR
7.1Semantic quality of the model7.2Clinical validation of models7.3Security and privacy in FHIR7.4Consent with the Consent resource7.5European Health Data Space and EHRxF7.6Profile lifecycle management7.7Connectathons and interoperability testing7.8Adoption metrics7.9HL7 communities and international governance7.10Case study: quality review of an implementation guide
8.1Selection of the clinical domain8.2Analysis of information requirements8.3Logical data model8.4Selection of resources and terminologies8.5Profiles and extensions in FSH8.6Examples and validation8.7Publication of the implementation guide8.8Integration test with a server8.9Written report and presentation8.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is HAPI FHIR, Firely Forge, SUSHI (FHIR Shorthand), HL7 IG Publisher, Postman, in free, academic or evaluation versions. Practical work is based on real FHIR resource profiling procedures for clinical cases, validation of instances against implementation guides, and interoperability connectathons. Assessment is continuous per module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Understand the principles of clinical information modelling.
Describe FHIR's resource architecture, data types and REST API.
Represent clinical concepts using FHIR resources.
Link clinical data to terminologies such as SNOMED CT and LOINC.
Create profiles and implementation guides with FHIR Shorthand.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow the reading of technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme consists of 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
The work is carried out with HAPI FHIR, Firely Forge, SUSHI (FHIR Shorthand), HL7 IG Publisher, Postman. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An own SEIUM diploma upon passing continuous assessment and the integrative project. It is in-house training, not an official degree from the Ministry.
Yes. Modules passed in a course or diploma in the same area are recognised in the advanced programme. Check the credit recognition policy when you enrol.
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