loader image

Empowering Health Innovation Through

Informatics and Technology for Health
(InTecH) Lab

Together, we are shaping the future of healthcare, integrating technology, and informatics for a healthier tomorrow.

Scroll down

Scroll down

Nestled within the vibrant precincts of Western Sydney University, the Informatics and Technology for Health (InTecH) Lab is a model of multidisciplinary collaboration. Our lab exemplifies the seamless fusion of diverse academic and research expertise. We are home to talents from Computing and Informatics, Data Science and AI, Health and Medical Sciences, Clinical Classification and Terminology, and Robotics. 

Beyond our academic endeavours, we have established alliances with pivotal industry partners. Our enriching partnerships encompass healthcare providers, renowned professional bodies in Health Information Management and Digital Health, and many research groups and organisations. Together, we are committed to intertwining health, technology, and informatics, setting the pace for the future of healthcare. 

InTecH Lab's Multifaceted Expertise:

Health Data Management and Analysis

Health Data Management and Analysis

  • We employ sophisticated modelling and visualisation techniques to interpret complex data sets, using ML and AI to make sense of healthcare data.
  • Our team is well-versed in electronic health records, data annotation, aggregation, and health messaging.
  • We prioritise the privacy and standardisation of health data, ensuring its security and consistency.
  • Advanced healthcare data analysis and clinical coding are among our top research pursuits, especially with the integration of ML and NLP techniques.

Software Systems for eHealth

Software Systems for eHealth

  • The lab is at the forefront of clinical decision support, utilising agent technologies to improve patient outcomes.
  • We specialise in health workflow design, patient journey modelling, and health-business process engineering.
  • Our team is committed to developing clinical trial support applications and other crucial software to streamline healthcare processes.

Intelligent Automated Systems and Human Factors

Intelligent Automated Systems and Human Factors

  • Central to our research is the study of user interaction within virtual and aware environments, aiming to enhance patient and healthcare provider experiences.
  • We harness assistive technologies, natural language processing, and image/video processing to create intuitive systems.
  • Our work also touches upon human visual attention mechanisms, ensuring our solutions are user-centred.

Online, Mobile, and Sensor Environments

Online, Mobile, and Sensor Environments

  • Our lab is deeply invested in the digital health landscape, from web-based wellness promotion to health-focused social networking platforms.
  • We are pioneering integrating sensor technology, eye-tracking, and robotics in aged care and broader healthcare settings.
  • The future of healthcare is mobile; hence, we are developing patient monitoring systems via wearable devices and crafting applications for smartphones and tablets.
  • We're also exploring the transformative potential of smart homes for health, ensuring that technology serves the evolving needs of our community.

Education and Community Engagement

Education and Community Engagement

  • Our lab is deeply invested in the digital health landscape, from web-based wellness promotion to health-focused social networking platforms.
  • We are pioneering the integration of sensor technology, eye-tracking, and robotics in aged care and broader healthcare settings.
  • The future of healthcare is mobile; hence, we are developing patient monitoring systems via wearable devices and crafting applications for smartphones and tablets.
  • We're also exploring the transformative potential of smart homes for health, ensuring that technology serves the evolving needs of our community.

Achievements & Recognitions

Best HDR Presentation Award – Optimize 2024
Nishan Gunawardena has been awarded the Best Higher Degree Research Presentation at Optimize 2024, an annual research showcase hosted by the School of Computer, Data and Mathematical Sciences (SoCDMS), Western Sydney University. This recognition highlights his outstanding research contributions and presentation excellence in the field of machine learning and eye-tracking technologies.
Best HDR Presentation Award – Year-End Wrap-Up 2024
Rajvir Kaur, Mahzad Mahdavisharif, and Ovindi Bandara received the Best Higher Degree Research Presentation Award at the Year-End Wrap-Up HDR Conference 2024, organized by the School of Computer, Data and Mathematical Sciences (SoCDMS), Western Sydney University. The event recognized research contributions from HDR candidates across various domains.
Previous slide
Next slide

© 2025 – InTecH Lab- Western Sydney University – School of Computer, Data and Mathematical Sciences

© 2025 – InTech Lab

Western Sydney University

School of Computer, Data and Mathematical Sciences

Login