My current research involves research and commercial design, development and implementation of state-of-the-art healthcare IT systems/solutions for Acute Care and Population Health Management.
Tablet-based Patient Monitoring System
Falls Risk Assessment for Inpatient Older Adults
Smartphone-based Vital Signs Monitoring
Elective Surgeries – A Patient’s Journey for Elective Surgeries
Early Detection of Long-Term Condition Using Vital Signs and Activity Data in Real-Time
Worldwide spending on the long-term conditions (LTCs) is increasing to a point that requires immediate interventions to reduce the health care cost. One of the approaches is the early detection of pre-long-term conditions, which shows a positive potential to reduce these current healthcare challenge. This project aims to analyse the possibility of the early detection of long-term conditions (e.g. Asthma, Abnormal heart rhythms, arrhythmias, etc.) by capturing the vital signs and activity data in real-time. We collected heart rate, heart rate variability, breathing rate, breathing volume, activity (steps, cadence and calories), using the advanced body sensors, and height, weight, age and sex will also be collected for detailed analysis (more info…).
Smart Patient Monitoring System (SPMS) for Older Adults
An ageing population is now the leading healthcare concern of many countries in the world. Older patients need more healthcare efforts as they present more cases of chronic illnesses involving higher healthcare costs. Fortunately, there have been dramatic advances in healthcare technology in terms of mobility, size, speed and communication.
A novel approach which has potential to improve quality of patient care in hospital’s elderly wards is proposed. Patient care is a labour-intensive task that requires high input of human resources. Smart Patient Monitoring System for Older people (SPMS) is proposed to improve patient monitoring at elderly wards. In this system vital signs and motion data (with informed consent) will be gathered from patients and sent to a control unit for centralized monitoring. The SPMS can complement the role of nurses in monitoring patients’ vital signs and fall detection. They will be able to focus on holistic needs of patients, thereby providing better personal care. Advance and complex medical algorithms will be developed in order to detect several diseases by using vital signs and face & fall detection using motion data, a prototype SPMS will be designed and simulated in offline.
Wireless network technologies will be utilized for transmission of vital signs and motion data in the proposed SPMS, as they provide flexibility and mobility to patients. The proposed system will be tested in real-time in public hospital wards after obtaining ethical approval. The capability, suitability and limitation of the chosen technology and the results will be evaluated and validated with two different methods, i.e. comparing with other systems and by agreement using Kappa analysis (more info…).
Anaesthesia Monitoring System
Advanced anaesthesia monitoring system to detect Hypovolaemia during surgery (more info…).