Research
Digital measurement of respiratory disease at home
البحث العلمي — أمراض الرئة والصحة الرقمية
One question runs through this work: can data generated by patients at home reveal that lung disease is worsening earlier and more reliably than clinic visits can?
How the work connects
- 01Digital technologies
- 02Home and remote physiological measurement
- 03Patient-generated data
- 04Respiratory disease monitoring
- 05ILD and COPD progression or exacerbation research
- 06Clinically useful digital monitoring systems
Research themes
Interstitial lung disease
Classification, epidemiology and progression of ILD, including drug-induced ILD in Saudi Arabia and autoimmune-related disease.
Digital health
How digital technologies change respiratory care pathways, and what evidence is needed before they are trusted clinically.
Remote patient monitoring
Designing and evaluating monitoring programmes that operate outside the hospital, including whole-service evaluation.
Home monitoring
Home spirometry, symptoms, physiology and patient-reported outcomes as a way to detect progression and exacerbations earlier.
Wearables & digital biomarkers
Wearable and sensor-derived measures in COPD and ILD, and the machine-learning approaches used to detect exacerbations passively.
Tobacco control
Smoking and nicotine cessation for Arabic-speaking populations, delivered through AQla and related public-health work.
Research journey
Each stage answers a question raised by the one before it.
Evidence synthesis
Home monitoring of physiology and symptoms to detect ILD exacerbations and progression — systematic review
Established what home-measured physiology and symptoms can actually detect in ILD.
Clinical implementation
Telehealth for ILD — international clinician survey
Mapped how clinicians use and trust remote care, and where it breaks down.
Research infrastructure
RALPMH — Remote Assessment of Lung Disease and Impact on Physical and Mental Health
Prospective platform using RADAR-base, the RADAR app, home spirometry, wearables and patient-reported outcomes.
Service evaluation
Evaluating a remote monitoring programme for respiratory diseases
Tested whether remote monitoring works as a real service, not only as a study.
Prospective ILD monitoring
Home monitoring to detect progression of ILD
Prospective cohort linking home-generated data to disease progression.
Patient experience
Supporting self-management for patients with ILD — utility and acceptability of digital devices
Centres the people generating the data: what they will actually use, and why.
Field synthesis
The role of digital health in respiratory diseases management
Positions home monitoring within the wider digital respiratory field.
Specialised application
Remote patient monitoring in autoimmune-related ILD
Extends the programme to a group where progression is hard to catch early.
Doctoral research
PhD in Respiratory Medicine, University College London (2021–2024). Thesis: Home Monitoring in Interstitial Lung Disease. The thesis brought together home spirometry, symptom reporting, wearable physiology and patient-reported outcomes collected through the RADAR-base platform and RADAR app.