Making innovation work - implementing technology across rehab continuum

Learning objectives

By the end of this symposium, participants will be able to:

1. Evaluate how wearable technologies can optimise therapy delivery in acute to home-based settings, improving continuity of care and patient outcomes.

2. Apply behavioural science principles to address technology adoption barriers among patients and clinicians, and integrate digital

solutions effectively along the rehabilitation journey.

3. Analyse the role of artificial intelligence and computer vision in assessing physical function at scale, measuring physical biomarkers and predicting future health risks to inform earlier and more proactive rehabilitation interventions.

Symposium Convenor and Speaker: Dr Isaac Okumura Tan Choon Hong, Senior Physiotherapist, Tan Tock Seng Hospital

Title: Overview of rehab and technologydevelopment and challenges

Biography: Dr Isaac Okumura Tan is a physiotherapist and clinician-researcher at Tan Tock Seng Hospital, Singapore, with expertise in neurological rehabilitation, rehabilitation technology, and translational research. His work has focused on integrating advanced technologies—including motion capture, wearable sensors, and digital health platforms—into evidence-based rehabilitation to improve functional recovery and long-term outcomes for people with neurological and musculoskeletal conditions. His current research involves implementing holistic longitudinal interventions for people with Parkinson’s. Dr Tan has led and collaborated on multidisciplinary research spanning biomechanics, technology-assisted rehabilitation, and implementation science, with projects conducted across hospital, community, and research settings. His work aims to bridge the gap between innovation and real-world clinical adoption, ensuring that emerging technologies translate into meaningful improvements in patient care. He regularly contributes to regional scientific meetings and collaborative research initiatives.

Speaker: Mah Shi Min, Senior Principal Physiotherapist, Sengkang General Hospital

Title: Bridging the Gap: Rehabilitation Technology for Seamless Care Transitions

Biography: Shi Min is a senior principal physiotherapist heading the inpatient team at SKH. She completed her masters in Neuro-rehabilitation in University of Nottingham and is currently undergoing her final year of PhD studies in NTU. Her current research measures brain activity coupled with high-intensity exercise early after stroke, and re-inventing rehabilitation practice in the inpatient setting.

With a keen interest in research and education, Shi Min collaborates across disciplines and looks into innovation and research that translates into better clinical practice and outcomes. Her research interest is in rehabilitation for neurological population, and technology and innovation that transcends barriers and translates to improved overall health outcomes.

Speaker: A/Prof Low Lian Leng, Director, SingHealth Centre for Population Health Research and Implementation. Director, Research and Translational Innovation, SingHealth Community Hospitals. Chairman, Division of Population Health and Integrated Care, Singapore General Hospital.

Title: AI-Assisted TelerehabiliLation System (ATLAS) in Singhealth Community Hospitals: Implementation, Evaluation and Scale-up

Biography: As Chairman, Population health and Integrated Care in SGH, A/P. Low has spearheaded innovative models of care such as Community Nursing, Hospital at Home and Integrated Senior Health and Wellness Hubs. He also has a deep interest in health services research, especially in the areas of population health, innovative integrated care delivery models, value-based care and data analytics. A/P. Low is also the principal investigator of the Community Ageing in Place Ecosystem project funded by the Ministry of Health Singapore, ATLAS programme funded by National Health Innovation Centre etc. A/P. Low is supervising post docs, PhD students, data analysts, research fellows and associates in their professional work.To date, A/P. Low has secured close to $16M SGD in competitive research funding as PI or Co-PI from grant agencies. He had published close to 150 papers as of February 2026.

Speaker: Assistant Professor, Consultant Orthopaedic Surgeon, R3 Institute (R3I), Woodlands Hospital

Title: A Vision-InteGrated InteLligent AssessmeNT (VIGILANT): Translating Computer Vision into Scalable Pre-frailty Screening

Biography: Clinical Asst. Prof. Bryan Yijia Tan is a Consultant Orthopaedic Surgeon at Woodlands Hospital and the Deputy Director of the R3I. I have been fortunate to have been awarded more than S$9 million in research funding as the PI, published in several top tier journals and presented at many local and international conferences. I am passionate about combining my interests in research, public health and administration as a surgeon scientist to develop the niche area in health services research and implementation science using a grounded, evidence based, data-driven approach to guide policy making and transform the care of musculoskeletal patients.

Speaker: Mr Oliver Roberts, Research Engineer, R3 Institute (R3I)

Title: A Vision-InteGrated InteLligent AssessmeNT (VIGILANT): Translating Computer Vision into Scalable Pre-frailty Screening

Biography: My research focuses on harnessing motion capture, computer vision, and artificial intelligence to generate objective, clinically actionable movement data that support early intervention and personalised care. With a background in Physiotherapy, I am committed to translating biomechanical and functional metrics into scalable, community-deployable tools that enable healthcare systems to shift from reactive to proactive models of care. My clinical experience across acute hospitals and outpatient services shaped this direction, highlighting missed opportunities for early intervention and motivating my transition into research to develop technology-enabled, preventive solutions. I lead the development of VIGILANT (Vision-Integrated Intelligent Assessment), a markerless motion capture walkway designed for upstream functional health screening. The system captures clusters of everyday movement tasks to generate objective kinematic and performance metrics in robust and pre-frail populations, enabling population-level stratification and targeted intervention. By integrating movement science, patient-reported outcomes, and AI-driven analytics, my work strengthens Physiotherapy’s role in preventive healthcare and aligns innovation with national healthy ageing strategies.