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Master’s in Telemedicine, IoMT and Clinical Platforms Engineering

Online master's programme of 1,900 hours in telemedicine, IoMT and clinical platforms engineering. 12 modules covering remote care models, IoMT architecture, interoperability with IEEE 11073 and HL7 FHIR, telemonitoring, teleconsultation, cybersecurity, privacy, device and software regulation, remote data analytics and implementation, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Design evidence-based telemedicine care models.

02

Build scalable and secure IoMT architectures.

03

Integrate devices using IEEE 11073 and HL7 FHIR.

04

Implement telemonitoring programmes with effective alerts.

05

Protect the cybersecurity and privacy of clinical platforms.

06

Apply medical device regulation to connected platforms.

07

Evaluate implementation with models such as MAST.

Profile

Who it's for

  • Telemedicine platform engineers building remote care services.
  • IoMT architects designing connected device ecosystems.
  • Interoperability specialists working with IEEE 11073, FHIR and IHE profiles.
  • Telemonitoring programme coordinators in hospitals and health services.
  • Healthcare cybersecurity engineers.
  • Connected health product managers.
  • Engineering or science graduates seeking to enter health services.
Standards & tools

What you'll work with

  • Regulation (EU) 2017/745 (EU Medical Device Regulation, MDR)
  • ISO/IEEE 11073 (personal health device communication)
  • HL7 FHIR R4 (health data interoperability)
  • IEC 80001-1 (IT networks incorporating medical devices)
  • IEC 81001-5-1 (cybersecurity of health software)
  • Regulation (EU) 2016/679 (GDPR, data protection)
  • Law 41/2002 (Spanish law on patient autonomy and clinical records)
  • Directive (EU) 2022/2555 (NIS2, network and information security)
  • AWS IoT Core
  • Azure Health Data Services
  • HAPI FHIR
  • Node-RED
  • Grafana
Syllabus

12 modules · 1900 h

  1. 1.1Synchronous and asynchronous telemedicine modalities
  2. 1.2Teleconsultation, telemonitoring and specialist teleconsultation
  3. 1.3Clinical evidence for telemedicine
  4. 1.4Hybrid care models
  5. 1.5Telemedicine in chronic diseases
  6. 1.6Rural telemedicine and access
  7. 1.7Hospital at home
  8. 1.8Patient experience in remote care
  9. 1.9Cultural barriers and the digital divide
  10. 1.10Case study: redesign of a heart failure clinic
  1. 2.1Device, gateway and cloud layers
  2. 2.2Connected medical devices
  3. 2.3Mobile gateways and home hubs
  4. 2.4BLE, MQTT and CoAP protocols
  5. 2.5Cloud IoT platforms
  6. 2.6Scalability and high availability
  7. 2.7Microservice architectures
  8. 2.8Logistics and replacement of home devices
  9. 2.9Platform monitoring
  10. 2.10Laboratory: MQTT gateway for a blood pressure monitor
  1. 3.1IEEE 11073 device profiles
  2. 3.2Continua and the Personal Connected Health Alliance
  3. 3.3HL7 FHIR for observations
  4. 3.4IHE PCD and POU profiles
  5. 3.5Integration with the health record
  6. 3.6LOINC and SNOMED CT terminologies
  7. 3.7Patient and device identification
  8. 3.8Interoperability testing
  9. 3.9Open APIs and ecosystems
  10. 3.10Practical: mapping glucose readings to FHIR Observation
  1. 4.1Chronic patient monitoring programmes
  2. 4.2Clinical thresholds and alerts
  3. 4.3Nurse triage of alerts
  4. 4.4COPD and heart failure monitoring
  5. 4.5Diabetes and continuous glucose monitoring
  6. 4.6Post-operative monitoring after early discharge
  7. 4.7High-risk pregnancy and paediatrics
  8. 4.8Managing false positives
  9. 4.9Clinical outcome indicators
  10. 4.10Case study: alert protocol for COPD
  1. 5.1Video consultation platforms
  2. 5.2Audio and video quality
  3. 5.3Remote physical examination
  4. 5.4Tele-examination devices
  5. 5.5Teledermatology and teleophthalmology
  6. 5.6Telepsychiatry and remote mental health
  7. 5.7Documentation of the teleconsultation
  8. 5.8Consent and communication
  9. 5.9Good practice in digital etiquette
  10. 5.10Practical: dermatology teleconsultation protocol
  1. 6.1Threats to connected devices
  2. 6.2IEC 81001-5-1 and the secure life cycle
  3. 6.3Cloud security and the Spanish National Security Framework (ENS)
  4. 6.4Authentication and identity management
  5. 6.5End-to-end encryption
  6. 6.6IoMT penetration testing
  7. 6.7The NIS2 Directive in the health sector
  8. 6.8Incident response
  9. 6.9Supply chain security
  10. 6.10Workshop: threat analysis of an IoMT platform
  1. 7.1GDPR legal bases in telemedicine
  2. 7.2Health records and information under Law 41/2002
  3. 7.3Professional liability in telemedicine
  4. 7.4Remote prescribing
  5. 7.5Cross-border telemedicine and Directive 2011/24/EU
  6. 7.6Data processors and the cloud
  7. 7.7Data protection impact assessment
  8. 7.8Record retention
  9. 7.9Medical code of ethics
  10. 7.10Case study: data processing agreement
  1. 8.1Regulation (EU) 2017/745 applied to platforms
  2. 8.2Rule 11 and monitoring software
  3. 8.3Systems and procedure packs
  4. 8.4IEC 62304 in platform software
  5. 8.5IEC 60601-1-11 home healthcare devices
  6. 8.6ISO 14971 in connected systems
  7. 8.7IEC 80001-1 medical IT networks
  8. 8.8Incident vigilance for connected platforms
  9. 8.9FDA pathway for remote monitoring
  10. 8.10Practical: classification of a telemonitoring platform
  1. 9.1Physiological time series
  2. 9.2Detection of clinical deterioration
  3. 9.3Predictive models of decompensation
  4. 9.4Smart alerts and prioritisation
  5. 9.5Dashboards for clinical teams
  6. 9.6Patient data quality
  7. 9.7Adherence to device use
  8. 9.8Machine learning in IoMT
  9. 9.9Evaluation of alert performance
  10. 9.10Laboratory: decompensation alert model
  1. 10.1Designing apps for patients
  2. 10.2Accessibility and digital literacy
  3. 10.3Patient onboarding and training
  4. 10.4Interfaces for professionals
  5. 10.5Clinical team workload
  6. 10.6Usability validation according to IEC 62366-1
  7. 10.7Patient involvement in design
  8. 10.8Adherence and motivation techniques
  9. 10.9Satisfaction assessment
  10. 10.10Practical: usability test with older patients
  1. 11.1Organisational models for telemedicine
  2. 11.2Telemonitoring control centres
  3. 11.3Funding and reimbursement
  4. 11.4Economic evaluation of telemonitoring
  5. 11.5The MAST evaluation model
  6. 11.6Change management
  7. 11.7Training of professionals
  8. 11.8Scaling and sustainability
  9. 11.9Health outcome evaluation
  10. 11.10Case study: MAST evaluation of a programme
  1. 12.1Care need and population
  2. 12.2Proposed care model
  3. 12.3Technical architecture of the platform
  4. 12.4Integration and interoperability
  5. 12.5Cybersecurity and privacy
  6. 12.6Regulatory fit of the platform
  7. 12.7Clinical and economic evaluation plan
  8. 12.8Programme implementation plan
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable materials, 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 work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is AWS IoT Core, Azure Health Data Services, HAPI FHIR, Node-RED and Grafana, in free, academic or evaluation versions. Practical work is based on real procedures: telemonitoring prototypes with real devices, integration of device data into FHIR and usability testing with patients. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Regulation (EU) 2017/745 on medical devices, ISO/IEEE 11073, HL7 FHIR R4, IEC 80001-1, IEC 81001-5-1, Regulation (EU) 2016/679 (GDPR), Law 41/2002 on patient autonomy, Directive (EU) 2022/2555 (NIS2).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the MDR, ISO/IEEE 11073 and HL7 FHIR R4 applied to real cases, not as a theoretical annex.
Industry software:AWS IoT Core, Azure Health Data Services, HAPI FHIR, Node-RED and Grafana, in free, academic or evaluation versions.
Master's Thesis with defence:a complete telemedicine programme, from care need and care model to platform architecture, interoperability, cybersecurity, regulatory fit, clinical and economic evaluation and implementation plan, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

IoMT gateway
Build an MQTT gateway that sends readings from a blood pressure monitor to the cloud.
FHIR integration
Map glucose readings to FHIR Observation resources and integrate them with the health record.
Alerts and analytics
Define a COPD alert protocol and a decompensation alert model.
Security and regulation
Carry out a threat analysis and classify the telemonitoring platform under the MDR.
Master's Thesis
A telemedicine programme with care model, architecture, regulatory fit and clinical and economic evaluation plan, defended before a panel.
Career opportunities

Where this takes you

Telemedicine platform engineerIoMT architectInteroperability specialistTelemonitoring programme coordinatorHealthcare cybersecurity engineerConnected health product manager
Admissions & scholarships

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.

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FAQ

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 AWS IoT Core, Azure Health Data Services, HAPI FHIR, Node-RED and Grafana, 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 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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