End-to-end inclusive blood monitoring and personalised analytics
Our approach includes three key research areas: remote blood monitoring, information and communication technologies (ICT), personalised analytics and AI.
The three research area together will enable new digital health systems to support real-time blood monitoring, self-management and timely intervention in community health and care.
Remote monitoring: Sensing and point of care (PoC) devices for blood biomarker identification with high levels of accuracy and robustness in non-clinical environments are essential for remote blood monitoring. The Network+ will explore innovations from sensing, applied optics, biochemistry and electronic engineering for a wider range of blood biomarker monitoring and diseases management for portable and affordable devices to obtain high-quality sample whilst minimising intrusion.
ICT: Data connectivity is recognised as one of the key challenges in PoC applications and remote blood monitoring. IoT based methods will be explored to develop connected PoC devices whereby the signal generated must be transduced into digital information ready for transmission. ICT to ensure secure data connectivity and integration with Electronic Patient Record (EPR) are essential for remote blood monitoring and personalised analytics. Ensuring the provenance, security, and standardised data management approach in blood monitoring will be another key area in the proposed Network+.
Personalised analytics and AI: Remote blood monitoring data facilitate the ability to trend patient data over time and monitor hospital treatment goals, which allows clinicians to better manage their patients, and this subsequently helps to improve patient care. Research is needed to looking at adaptive analytics that learns from each patient’s health trends through blood monitoring together with other monitoring data, EPR and patient reported outcomes to inform their personalised values, thus constituting a finer alerting system for improved patient outcomes.
Exemplar Clinical and healthcare applications include but not limited to cancer, autoimmune diseases, diabetes, heart disease, drug and treatment monitoring, as well as primary care, pathology and perioperative care services