Designing a Robotic Assistant for Healthcare Applications


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Tony Kuo
University of Auckland
(P06, 17/10/08, Home & Personal Technology stream, 2.10pm)

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  • Designing a Robotic Assistant for Healthcare Applications

    1. 1. <ul><ul><li>Designing a Robotic Assistant </li></ul></ul><ul><ul><li>for Healthcare Applications </li></ul></ul><ul><ul><li>Tony Kuo, Dr. Bruce MacDonald, Dr. Elizabeth Broadbent </li></ul></ul>
    2. 2. Overview <ul><li>Background/Motivation </li></ul><ul><li>Current Status of Health Services </li></ul><ul><li>Current Status of Healthcare Robotics </li></ul><ul><li>Objectives </li></ul><ul><li>Current Progress </li></ul><ul><li>User Study and Results </li></ul><ul><li>Future Work </li></ul><ul><li>Conclusions </li></ul>
    3. 3. World Ageing Population <ul><li>Population aged 85 and over will be 3 times more than it is now </li></ul>
    4. 4. Demographic Shift <ul><ul><li>By 2050, the older population (60+) will be ~20% of the whole population i.e. 1 in every five people </li></ul></ul>
    5. 5. Major Implications in Current Healthcare Services <ul><li>Shortage of healthcare workforce </li></ul><ul><li>Prevalence of chronic diseases </li></ul><ul><li>Shrinking population of working age </li></ul><ul><li>Ageing of healthcare workforce </li></ul>
    6. 6. New Zealand <ul><li>Older population is ~12% of the total population and is projected to rise up to 18% by 2025 </li></ul><ul><li>Occupies over an average of 53% of the inpatient bed days and just over 25% of all hospital discharges </li></ul><ul><li>9 major chronic conditions take up ~2/3 of inpatient days and ~1/3 of all hospital discharges </li></ul><ul><li>The demand of health and disability services is projected to exceed the supply by 30 ~40% by 2021 </li></ul>
    7. 7. Healthcare Robotics <ul><li>Automation of time-consuming tasks, e.g. Medicine delivery robot </li></ul>
    8. 8. Healthcare Robotics <ul><li>Enhancement to medical worker's skills for higher quality of service, e.g. Surgical Robot </li></ul>
    9. 9. Healthcare Robotics <ul><li>Physical assistance to older people or disabled to improve quality of life, e.g. robotic wheelchairs and fetch-and-carry robots </li></ul>
    10. 10. Healthcare Robotics <ul><li>Companions and trainers in physical recovery and rehabilitation, e.g. diagnostics of autism children </li></ul><ul><li>Personal robot for companionship and entertainment </li></ul>
    11. 11. Remote Healthcare <ul><li>Vital sign monitoring is essential to promote ageing in place and independent living of older people </li></ul><ul><ul><li>Early illness detection </li></ul></ul><ul><ul><li>Long term monitoring </li></ul></ul><ul><ul><li>Emergency handling, e.g. upon patient's fall </li></ul></ul><ul><ul><li>Telemedicine channel between doctor and patient </li></ul></ul>
    12. 12. Objective <ul><li>Build a robotic assistant that is able to provide a comprehensive range of vital signs monitoring services in healthcare environments such as aged-care facilities, hospitals and personal domestic homes </li></ul>
    13. 13. Current Progress <ul><li>A prototype named “Charles” for blood pressure monitoring service </li></ul><ul><ul><li>3D emotional face </li></ul></ul><ul><ul><li>Speech Synthesis synchronized to the lips </li></ul></ul><ul><ul><li>Interfaced with a blood pressure monitor </li></ul></ul>
    14. 14. User Study - Aims <ul><li>Investigate the differences between middle-aged people and the older people in their reactions to a healthcare robot and </li></ul><ul><li>Identify desirable and undesirable features and attributes of a healthcare robot. </li></ul>
    15. 15. Methodology <ul><li>Questionnaire 1: Attitudes and Expectations </li></ul><ul><li>Questionnaire 2: Reactions </li></ul><ul><li>Thoughts and Feelings Form </li></ul>
    16. 16. Methodology <ul><li>PANAS – Positive And Negative Affect Schedule to assess mood </li></ul><ul><li>SIS – Social Interaction Scale to assess the quality of the social interaction </li></ul><ul><li>Thoughts/feelings form - evaluating interactions between human dyads </li></ul>
    17. 17. Results <ul><li>Both Age groups thought robot was less accurate in taking their blood pressure </li></ul>
    18. 18. Results <ul><li>Older people were less comfortable with the robot taking their blood pressure </li></ul>
    19. 19. Ratings of Interaction
    20. 20. Emotions Throughout Interaction
    21. 21. Emotions Throughout Interaction
    22. 22. Changes to Improve Robot
    23. 23. Future Work <ul><li>Interface medical equipments for vital signs including SPO2, body temp, blood glucose, pulse rate and respiratory rate </li></ul><ul><li>Develop robot's interactive abilities </li></ul><ul><li>Conduct user studies to evaluate new functionalities of the robot </li></ul>
    24. 24. Joint Collaboration between ETRI (South Korea) and UoA <ul><li>Robotics for care of older people </li></ul><ul><li>Legal and market analysis completed </li></ul><ul><li>Vital signs monitoring is a key application </li></ul><ul><li>Includes engineers, health informatics experts, healthcare experts and psychologists </li></ul><ul><li>Involves NZ health IT companies </li></ul><ul><li>Customise Korean robots for care of older people </li></ul><ul><li>Plan to develop key robotic applications for export </li></ul><ul><li>Funded by NZ and Korean governments </li></ul>
    25. 25. Conclusions <ul><li>Aims to develop a social interactive robots to provide a complete set of vital signs monitoring service in various healthcare environments </li></ul><ul><li>User study results </li></ul><ul><ul><li>Age is not a barrier to acceptance of healthcare robot </li></ul></ul><ul><ul><li>Better face, voice and interactivity. </li></ul></ul>
    26. 26. Acknowledgments <ul><li>Joel Rabindran and Chris Lee </li></ul><ul><li>Prof. Jim Warren </li></ul><ul><li>National Institute of Innovation </li></ul><ul><ul><li>Malcolm Pollock </li></ul></ul><ul><ul><li>Dr. Karen Day </li></ul></ul><ul><li>Dr Ngaire Kerse </li></ul>