Postgraduate DiplomaHealth, Biomechanics, Wearables & Operational Safety Applications open

Postgraduate Diploma in Clinical Metrics and Progress Assessment

Online 800-hour Postgraduate Diploma in Clinical Metrics and Progress Assessment. 8 modules covering the International Classification of Functioning (ICF, WHO), COSMIN Guidelines (measurement properties) and R. Assigned tutor and open enrolment.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Virtual lab · try it before you enrol

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.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Select clinical measurement instruments suited to the assessment objective.

02

Analyse the reliability, validity and responsiveness to change of a scale.

03

Calculate the minimal clinically important difference.

04

Integrate functional and biomechanical metrics into patient assessment.

05

Model progress trajectories using longitudinal data.

06

Design clinical outcome dashboards within clinical information systems.

07

Evaluate the effectiveness of a care programme using outcome indicators.

Profile

Who it's for

  • Clinical results analyst looking to specialise in Clinical Metrics and Progress Assessment.
  • Clinical biostatistician looking to specialise in Clinical Metrics and Progress Assessment.
  • Quality of care coordinator looking to specialise in Clinical Metrics and Progress Assessment.
  • Rehabilitation researcher looking to specialise in Clinical Metrics and Progress Assessment.
  • Clinical data manager looking to specialise in Clinical Metrics and Progress Assessment.
  • Health programme evaluation specialist looking to specialise in Clinical Metrics and Progress Assessment.
  • Engineering or science graduates looking to enter hospitals and clinics.
Standards & tools

What you'll work with

  • International Classification of Functioning (ICF, WHO)
  • COSMIN Guidelines (measurement properties)
  • ICH E9 (statistical principles for clinical trials)
  • ISO 14155 (clinical investigation of medical devices)
  • HL7 FHIR (clinical data exchange)
  • Regulation (EU) 2016/679 (GDPR)
Syllabus

8 modules · 800 h

  1. 1.1Classical test theory and error
  2. 1.2Levels of measurement and scales
  3. 1.3Outcome measures: clinical, functional and perceived
  4. 1.4ICF framework of functioning and disability
  5. 1.5Instrument selection with COSMIN
  6. 1.6Measurement banks: PROMIS and COMET
  7. 1.7Performance-based versus self-report measurement
  8. 1.8Surrogate variables and their validity
  9. 1.9Context of use of a measure
  10. 1.10Case study: selecting measures for cardiac rehabilitation
  1. 2.1Test-retest and inter-rater reliability
  2. 2.2Intraclass correlation coefficient
  3. 2.3Standard error of measurement and minimal detectable change
  4. 2.4Content, construct and criterion validity
  5. 2.5Confirmatory factor analysis
  6. 2.6Item response theory and Rasch
  7. 2.7Ceiling and floor effects
  8. 2.8Responsiveness to change
  9. 2.9Interpretability of scores
  10. 2.10Lab: calculating ICC and MDC with real data
  1. 3.1Minimal clinically important difference
  2. 3.2Anchor-based methods
  3. 3.3Distribution-based methods
  4. 3.4Jacobson-Truax reliable change index
  5. 3.5Responders and threshold analysis
  6. 3.6Effect size and its interpretation
  7. 3.7Goal Attainment Scaling (GAS)
  8. 3.8The patient perspective on relevance
  9. 3.9Communicating change to the patient
  10. 3.10Practice: classifying responders in a physiotherapy programme
  1. 4.1Gait tests: 6MWT and Timed Up and Go
  2. 4.2Balance scales: Berg and Mini-BESTest
  3. 4.3Dynamometry and muscle strength
  4. 4.4Kinematic analysis with inertial sensors
  5. 4.5Force platforms and load analysis
  6. 4.6Physical activity metrics using accelerometry
  7. 4.7Independence scales: Barthel and FIM
  8. 4.8Frailty and the SPPB battery
  9. 4.9Validating wearables against laboratory measures
  10. 4.10Lab: gait measurement with IMUs and comparison with a reference
  1. 5.1Repeated-measures designs
  2. 5.2Linear mixed-effects models
  3. 5.3Growth curves and trajectories
  4. 5.4Missing data and attrition
  5. 5.5Single-case N-of-1 designs
  6. 5.6Progress charts and statistical process control
  7. 5.7Predicting individual progression
  8. 5.8Continuous remote monitoring
  9. 5.9Early detection of deterioration
  10. 5.10Practice: mixed model of functional recovery after hip replacement
  1. 6.1Structured recording of measures in the clinical record
  2. 6.2SNOMED CT and LOINC terminologies
  3. 6.3FHIR Observation and Questionnaire resources
  4. 6.4Electronic capture of PROMs
  5. 6.5Data quality and validation
  6. 6.6Progress dashboards for clinicians
  7. 6.7Feedback to the patient
  8. 6.8Clinical registries and benchmarking
  9. 6.9Data privacy and security
  10. 6.10Workshop: FHIR modelling of a functional scale
  1. 7.1Effectiveness evaluation in real-world practice
  2. 7.2Outcome indicators by service
  3. 7.3Risk adjustment in comparisons
  4. 7.4Value-based care and ICHOM
  5. 7.5Cost measurement per episode
  6. 7.6Quality of care assessment
  7. 7.7Clinical outcomes audit
  8. 7.8Communicating results to managers
  9. 7.9Use of metrics in decision-making
  10. 7.10Case study: outcomes report for a rehabilitation unit
  1. 8.1Defining the population and objectives
  2. 8.2Justified selection of instruments
  3. 8.3Defining thresholds for relevant change
  4. 8.4Measurement plan and schedule
  5. 8.5Data model and interoperability
  6. 8.6Progress monitoring dashboard
  7. 8.7Statistical analysis plan
  8. 8.8Pilot test with simulated data
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

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 R, IBM SPSS, REDCap, Python (pandas), Power BI, in free, academic or evaluation versions. Studies are examined using real procedures from test-retest reliability studies in clinics, longitudinal follow-up of patient cohorts and outcome audits of rehabilitation programmes. Assessment is continuous per module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-focused final project:safety case, test plan, compliance dossier and operational limits.
Industry-mentored:faculty with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, OT cybersecurity, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Defining the population and objectives

Select clinical measurement instruments suited to the assessment objective.

Justified selection of instruments

Analyse the reliability, validity and responsiveness to change of a scale.

Defining thresholds for relevant change

Calculate the minimal clinically important difference.

Measurement plan and schedule

Integrate functional and biomechanical metrics into patient assessment.

Data model and interoperability

Model progress trajectories using longitudinal data.

Career opportunities

Where this takes you

Clinical results analystClinical biostatisticianQuality of care coordinatorRehabilitation researcherClinical data managerHealth programme evaluation specialist
Admissions & scholarships

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 technical regulatory reading.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme comprises 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

The programme uses R, IBM SPSS, REDCap, Python (pandas) and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma upon passing the continuous assessment and the final integrative project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy when you enrol.

Postgraduate Diploma in Clinical Metrics and Progress AssessmentEnrol
Scroll to Top
SEIUM – Institute of Advanced Engineering
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.