Master’s in Clinical Data Interoperability Engineering
Online master's programme of 1,900 hours in clinical data interoperability engineering. 12 modules covering health information systems, HL7 v2 messaging, HL7 FHIR, CDA documents, clinical terminologies, openEHR and ISO 13606, DICOM imaging, IHE profiles, the European Health Data Space, security and integration projects, with an assigned technical tutor.
Master’s in Clinical Data Interoperability Engineering — studying from Australia
Health technology and biomechanics are growing areas in Australia, supported by a strong medical research sector and an established medical device industry. Wearable devices and occupational safety systems are increasingly used in mining, construction and healthcare. Medical devices are regulated nationally, requiring engineers to understand conformity, risk management and clinical evaluation. Employers include medical device manufacturers, hospitals, research institutes such as those affiliated with universities, and workplace safety consultancies.
Fees for Australia: A$11,000 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Will a SEIUM qualification be recognised by Engineers Australia or other professional bodies for this area?
SEIUM qualifications are private qualifications and are not accredited by Engineers Australia or any other national body. Recognition is decided by individual employers and, where relevant, by the professional body assessing your application. Engineers Australia assesses skills and experience independently, so check directly with the body you hope to join before enrolling.
Which Australian employers might value this training in health, biomechanics or wearable safety work?
Employers in Australian medical device firms, rehabilitation services, workplace health and safety teams and wearable technology companies may consider advanced engineering training when hiring. Whether they value a private qualification depends on each employer's own policy and on your existing experience. Speaking with prospective employers about how they view private qualifications is a sensible step.
Can I study this alongside full-time work in Australia, and is employer funding possible?
The programmes are 100% online and taught in English, so you can study from any time zone, including Australian time zones, around your work hours. Fees are payable in instalments, and employer sponsorship is possible; ask your employer whether they fund training. Plan for the workload of 300 to 1,900 hours depending on the programme, and confirm the schedule with SEIUM.
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
Analyse health information systems and their data flows.
Implement HL7 v2 messaging and CDA documents.
Develop HL7 FHIR-based services with profiles and validation.
Apply clinical terminologies such as SNOMED CT and LOINC.
Integrate medical imaging using DICOM and IHE profiles.
Prepare data for the European Health Data Space and secondary use.
Ensure the security and privacy of clinical data exchange.
Who it's for
- Health interoperability engineers.
- HL7 integration analysts.
- Clinical information systems architects.
- Clinical terminology specialists.
- Digital health consultants.
- Health data engineers.
- Engineering or science graduates looking to work with hospitals and health services.
What you'll work with
- HL7 FHIR R4 (Fast Healthcare Interoperability Resources)
- HL7 CDA Release 2 (Clinical Document Architecture)
- ISO 13606 (electronic health record communication)
- DICOM PS3 (digital imaging and communications in medicine)
- Regulation (EU) 2025/327 (European Health Data Space)
- Regulation (EU) 2016/679 (GDPR)
- Royal Decree 311/2022 (Spanish National Security Framework)
- IHE IT Infrastructure Technical Framework (integration profiles)
- HAPI FHIR
- Mirth Connect
- EHRbase
- Orthanc
- Snowstorm
12 modules · 1900 h
1.1Electronic health records and their modules1.2Departmental systems: LIS, RIS and PACS1.3Technical, semantic and organisational interoperability levels1.4Care and data flows1.5Actors: hospital, primary care and social care1.6The European Interoperability Framework (EIF)1.7The cost of lack of interoperability1.8Digital health record of the Spanish National Health System (SNS)1.9SNS digital health strategy1.10Case study: systems map of a hospital
2.1Message and segment structure2.2ADT, ORM and ORU events2.3Encoding and delimiters2.4Conformance profiles2.5Integration engines2.6Error handling and acknowledgements2.7Message testing2.8Migration from HL7 v22.9Current advantages and limitations2.10Practical exercise: ADT messages in an integration engine
3.1Resources, references and bundles3.2REST API and operations3.3Profiles, extensions and StructureDefinition3.4Implementation guides3.5Searches and pagination3.6SMART on FHIR and authorisation3.7FHIR Subscriptions and events3.8Bulk Data for analytics3.9Resource validation3.10Laboratory: HAPI FHIR server with custom profiles
4.1HL7 CDA R2 and its structure4.2Templates and C-CDA4.3Structured clinical reports4.4The International Patient Summary (IPS)4.5Document signing and custody4.6Conversion between CDA and FHIR4.7Images and attached documents4.8Standardisation of discharge reports4.9Viewers and presentation4.10Practical exercise: generating an IPS patient summary
5.1SNOMED CT and its concept model5.2LOINC for observations5.3ICD-10-ES and ICD-115.4ATC and the medicines nomenclature5.5Mappings between terminologies5.6Terminology servers and FHIR operations5.7Post-coordinated expressions in SNOMED CT5.8Governance of local catalogues5.9Semantic data quality5.10Laboratory: mapping a laboratory catalogue to LOINC
6.1The openEHR reference model6.2Archetypes and templates6.3ISO 13606 health record communication6.4Detailed clinical information models6.5AQL for queries6.6Clinical Knowledge Manager6.7Modelling with clinicians6.8Comparison of openEHR and FHIR6.9Vendor-neutral persistence6.10Workshop: vital signs archetype
7.1The DICOM standard and its model7.2DICOMweb: WADO, QIDO and STOW7.3Worklists and MPPS7.4IHE radiology profiles7.5Anonymisation of DICOM headers7.6Integration between PACS and HIS7.7Cloud imaging and VNA7.8DICOM SR structured reports7.9Digital pathology imaging7.10Practical exercise: DICOMweb queries on an open PACS
8.1The IHE technical framework8.2XDS and document sharing8.3PIX and PDQ for identification8.4ATNA and auditing8.5MHD and PDQm mobile profiles8.6Connectathon and testing8.7Master patient index8.8Unique patient identifiers8.9Consent management8.10Case study: regional XDS architecture
9.1Regulation (EU) 2025/327 on the European Health Data Space9.2MyHealth@EU and cross-border services9.3Cross-border ePrescription9.4European electronic health record exchange format9.5Secondary use of health data9.6OMOP common data models9.7Federated data projects9.8Research infrastructures9.9Access governance9.10Workshop: transforming data to the OMOP CDM
10.1GDPR and special categories of data10.2Spanish Organic Law 3/2018 on data protection10.3Spanish National Security Framework (ENS)10.4Access control and roles10.5Auditing and traceability10.6Pseudonymisation for research10.7Electronic consent management10.8Interface cybersecurity10.9DPIA for an exchange platform10.10Practical exercise: access model for a FHIR API
11.1Integration requirements analysis11.2Service- and event-oriented architectures11.3Integration platforms such as Mirth11.4Data quality and reconciliation11.5Testing, environments and certification11.6Change management with clinicians11.7Interoperability indicators11.8Public procurement of systems11.9Supplier management11.10Case study: integrating a new laboratory
12.1Data exchange use case12.2Analysis of actors and flows12.3Selection of standards and profiles12.4Semantic and terminology modelling12.5Prototype implementation12.6Conformance testing12.7Security analysis of the exchange12.8Deployment and governance plan12.9Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme is compatible with full-time work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is HAPI FHIR, Mirth Connect, EHRbase, Orthanc and Snowstorm, in free, academic or evaluation versions. Testing is studied through real procedures: message integration between hospital systems, implementation of FHIR APIs with profiles and transformation of clinical data to common data models. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: HL7 FHIR R4, HL7 CDA Release 2, ISO 13606, DICOM PS3, Regulation (EU) 2025/327, Regulation (EU) 2016/679, Royal Decree 311/2022, IHE IT Infrastructure Technical Framework.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme software.
- English sufficient to read 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 totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with HAPI FHIR, Mirth Connect, EHRbase, Orthanc and Snowstorm, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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