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Andargoli AE, Ulapane N, Nguyen TA, Shuakat N, Zelcer J, Wickramasinghe N. Intelligent decision support systems for dementia care: A scoping review. Artif Intell Med 2024; 150:102815. [PMID: 38553156 DOI: 10.1016/j.artmed.2024.102815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 12/11/2023] [Accepted: 02/12/2024] [Indexed: 04/02/2024]
Abstract
In the context of dementia care, Artificial Intelligence (AI) powered clinical decision support systems have the potential to enhance diagnosis and management. However, the scope and challenges of applying these technologies remain unclear. This scoping review aims to investigate the current state of AI applications in the development of intelligent decision support systems for dementia care. We conducted a comprehensive scoping review of empirical studies that utilised AI-powered clinical decision support systems in dementia care. The results indicate that AI applications in dementia care primarily focus on diagnosis, with limited attention to other aspects outlined in the World Health Organization (WHO) Global Action Plan on the Public Health Response to Dementia 2017-2025 (GAPD). A trifecta of challenges, encompassing data availability, cost considerations, and AI algorithm performance, emerges as noteworthy barriers in adoption of AI applications in dementia care. To address these challenges and enhance AI reliability, we propose a novel approach: a digital twin-based patient journey model. Future research should address identified gaps in GAPD action areas, navigate data-related obstacles, and explore the implementation of digital twins. Additionally, it is imperative to emphasize that addressing trust and combating the stigma associated with AI in healthcare should be a central focus of future research directions.
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Affiliation(s)
| | | | - Tuan Anh Nguyen
- Swinburne University of Technology, Melbourne, Australia; National Ageing Research Institute, Australia
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Wickramasinghe N, Ulapane N, Sloane EB, Gehlot V. Digital Twins for More Precise and Personalized Treatment. Stud Health Technol Inform 2024; 310:229-233. [PMID: 38269799 DOI: 10.3233/shti230961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
The use of Digital Twins (DTs) or the digital replicas of physical entities has provided benefits to several industry sectors, most notably manufacturing. To date, the application of DTs in the healthcare sector has been minimal, however. But, as pressure increases for more precise and personalized treatments, it behooves us to investigate the potential for DTs in the healthcare context. As a proof-of-concept demonstration prior to working with real patients, we attempt in this paper, to explore the potential for creating and using DTs. We do this in a synthetic environment at this stage, making use of data that is all computer-generated. DTs of synthetic present patients are created making use of data of synthetic past patients. In the real world, the clinical objective for creating such DTs of real patients would be to enable enhanced real-time clinical decision support to enable more precise and personalized care. The objective of the numerical experiment reported in this paper, is to envisage the possibilities and challenges of such an approach. We attempt to better understand the strengths and weaknesses of applying DTs in the healthcare context to support more precise and personalized treatments.
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Ulapane N, Wickramasinghe N, Dang TH, Thodis A, Brijnath B. Web-Based Intervention for Multilingual Family Carers of People with Dementia: Insights from the DrawCare Study. Stud Health Technol Inform 2024; 310:1416-1417. [PMID: 38269674 DOI: 10.3233/shti231222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
Addressing the needs of ethnically diverse multilingual people can be challenging in environments that are non-native to them. The consequences of this issue become more significant in healthcare contexts. Insights from the DrawCare study-an Australian study that explores the effectiveness of a web-based intervention for multilingual family carers of people with dementia-are presented illustrating the enabling role of digital health.
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Affiliation(s)
| | | | - Thu Ha Dang
- Swinburne University of Technology, Australia
- National Ageing Research Institute INC, Australia
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Dang TH, Thodis A, Ulapane N, Antoniades J, Gurgone M, Nguyen T, Gilbert A, Wickramasinghe N, Varghese M, Loganathan S, Enticott J, Mortimer D, Dow B, Cooper C, Xiao LD, Brijnath B. 'It's Too nice': Adapting iSupport Lite for Ethnically Diverse Family Carers of a Person with Dementia. Clin Gerontol 2023:1-14. [PMID: 37697628 DOI: 10.1080/07317115.2023.2254296] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
OBJECTIVES Resources to support dementia carers from ethnically diverse families are limited. We explored carers' and service providers' views on adapting the World Health Organization's iSupport Lite messages to meet their needs. METHODS Six online workshops were conducted with ethnically diverse family carers and service providers (n = 21) from nine linguistic groups across Australia. Recruitment was via convenience and snowball sampling from existing networks. Data were analyzed using thematic analysis. RESULTS Participants reported that iSupport Lite over-emphasized support from family and friends and made help-seeking sound "too easy". They wanted messages to dispel notions of carers as "superheroes", demonstrate that caring and help-seeking is stressful and time-consuming, and that poor decision-making and relationship breakdown does occur. Feedback was incorporated to co-produce a revised suite of resources. CONCLUSIONS Beyond language translation, cultural adaptation using co-design provided participants the opportunity to develop more culturally relevant care resources that meet their needs. These resources will be evaluated for clinical and cost-effectiveness in future research. CLINICAL IMPLICATIONS By design, multilingual resources for carers must incorporate cultural needs to communicate support messages. If this intervention is effective, it could help to reduce dementia care disparities in ethnically diverse populations in Australia and globally.
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Affiliation(s)
- Thu Ha Dang
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
- Digital Health Cooperative Research Centre, Swinburne University of Technology, Melbourne, Australia
| | - Antonia Thodis
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
| | - Nalika Ulapane
- Digital Health Cooperative Research Centre, Swinburne University of Technology, Melbourne, Australia
| | - Josefine Antoniades
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
- Centre for Health Economics and Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
| | - Mary Gurgone
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
- Centre of Capability and Culture, Perth, Australia
- Association of Culturally Appropriate Services (AfCAS), Perth, Australia
- Perth Foundation for Women, Perth, Australia
| | - Tuan Nguyen
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
- Digital Health Cooperative Research Centre, Swinburne University of Technology, Melbourne, Australia
- Faculty of Clinical & Health Sciences, University of South Australia, Adelaide, Australia
- Health Strategy and Policy Institute, Hanoi, Viet Nam
| | - Andrew Gilbert
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
- Department of Social Inquiry, La Trobe University, Melbourne, Australia
| | - Nilmini Wickramasinghe
- Digital Health Cooperative Research Centre, Swinburne University of Technology, Melbourne, Australia
| | | | - Santosh Loganathan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Joanne Enticott
- Centre for Health Economics and Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
| | - Duncan Mortimer
- Centre for Health Economics and Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
| | - Briony Dow
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
| | - Claudia Cooper
- Centre for Psychiatry and Mental Health, Queen Mary University of London, London, UK
| | - Lily Dongxia Xiao
- College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Bianca Brijnath
- Division of Social Gerontology, National Ageing Research Institute, Melbourne, Australia
- School of Social Sciences, University of Western Australia, Perth, Australia
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Thodis A, Dang TH, Antoniades J, Gilbert AS, Nguyen T, Hlis D, Gurgone M, Dow B, Cooper C, Xiao LD, Wickramasinghe N, Ulapane N, Varghese M, Loganathan S, Enticott J, Mortimer D, Brijnath B. Improving the lives of ethnically diverse family carers and people living with dementia using digital media resources - Protocol for the Draw-Care randomised controlled trial. Digit Health 2023; 9:20552076231205733. [PMID: 37846403 PMCID: PMC10576921 DOI: 10.1177/20552076231205733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 09/19/2023] [Indexed: 10/18/2023] Open
Abstract
Objectives Ethnically diverse family carers of people living with dementia (hereafter carers and people with dementia) experience more psychological distress than other carers. To reduce this inequality, culturally adapted, multilingual, evidence-based practical assistance is needed. This paper details the Draw-Care study protocol including a randomised control trial (RCT) to test the effectiveness of a digital intervention comprising a multilingual website, virtual assistant, animated films, and information, on the lives of carers and people with dementia in Australia. Methods The Draw-Care intervention will be evaluated in a 12-week active waitlist parallel design RCT with 194 carers from Arabic, Cantonese, Greek, Hindi, Italian, Mandarin, Spanish, Tamil, and Vietnamese-speaking language groups. Our intervention was based on the World Health Organization's (WHO) iSupport Lite online carer support messages and was co-designed with carers, people with dementia, service providers, and clinicians. Culturally adapted multilingual digital resources were created in nine languages and English. Results In Phase I (2022), six co-design workshops with stakeholders and interviews with people with dementia informed the development of the intervention which will be trialled and evaluated in Phases II and III (2023 and 2024). Conclusions Digital media content is a novel approach to providing cost-effective access to health care information. This study protocol details the three study phases including the RCT of a co-designed, culturally adapted, multilingual, digital intervention for carers and people with dementia to advance the evidence in dementia and digital healthcare research and help meet the needs of carers and people with dementia in Australia and globally.
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Affiliation(s)
- Antonia Thodis
- National Ageing Research Institute, Parkville, Australia
| | - Thu-Ha Dang
- National Ageing Research Institute, Parkville, Australia
- Swinburne University of Technology, Hawthorn, Australia
| | - Josefine Antoniades
- National Ageing Research Institute, Parkville, Australia
- Global and Women's Health, School of Public Health and Preventive Medicine, Monash University Clayton, Australia
| | - Andrew S. Gilbert
- National Ageing Research Institute, Parkville, Australia
- Department of General Practice, University of Melbourne, Australia
| | - Tuan Nguyen
- National Ageing Research Institute, Parkville, Australia
- Swinburne University of Technology, Hawthorn, Australia
- University of South Australia, Adelaide, Australia
- Health Strategy and Policy Institute, Hanoi, Viet Nam
| | - Danijela Hlis
- National Ageing Research Institute, Parkville, Australia
- OPAN/NOPRG & Dementia Australia Advocate, Melbourne, Australia
| | - Mary Gurgone
- National Ageing Research Institute, Parkville, Australia
- Centre of Capability and Culture, Melbourne, Australia
- Association of Culturally Appropriate Services (AfCAS), Melbourne, Australia
- Perth Foundation for Women, Melbourne, Australia
| | - Briony Dow
- National Ageing Research Institute, Parkville, Australia
| | | | | | | | | | | | | | - Joanne Enticott
- Global and Women's Health, School of Public Health and Preventive Medicine, Monash University Clayton, Australia
| | - Duncan Mortimer
- Global and Women's Health, School of Public Health and Preventive Medicine, Monash University Clayton, Australia
| | - Bianca Brijnath
- National Ageing Research Institute, Parkville, Australia
- University of Western Australia, Perth, Australia
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Wickramasinghe N, Ulapane N, Nguyen TA, Andargoli A, Ossai C, Shuakat N, Zelcer J. Towards Discovering Digital Twins of Dementia Patients: Matching the Phases of Cognitive Decline. Alzheimers Dement 2022; 18 Suppl 2:e066336. [DOI: 10.1002/alz.066336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Nilmini Wickramasinghe
- Swinburne University of Technology Hawthorn VIC Australia
- Epworth HealthCare Richmond VIC Australia
| | - Nalika Ulapane
- Swinburne University of Technology Hawthorn VIC Australia
| | - Tuan Anh Nguyen
- Swinburne University of Technology Hawthorn VIC Australia
- National Ageing Research Institution Melbourne VIC Australia
| | - Amir Andargoli
- Swinburne University of Technology Hawthorn VIC Australia
| | - Chinedu Ossai
- Swinburne University of Technology Hawthorn VIC Australia
| | - Nadeem Shuakat
- Swinburne University of Technology Hawthorn VIC Australia
| | - John Zelcer
- Swinburne University of Technology Hawthorn VIC Australia
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Wickramasinghe N, Ulapane N, Andargoli A, Ossai C, Shuakat N, Nguyen T, Zelcer J. Digital twins to enable better precision and personalized dementia care. JAMIA Open 2022; 5:ooac072. [PMID: 35992534 PMCID: PMC9387506 DOI: 10.1093/jamiaopen/ooac072] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
In this perspective paper, we want to highlight the potential benefits of incorporating digital twins to support better dementia care. In particular, we assert that, by doing so, it is possible to ensure greater precision regarding dementia care while simultaneously enhancing personalization. Digital twins have been used successfully in manufacturing to enable better prediction and tailoring of solutions to meet required needs, and thereby have enabled more effective and efficient deployment of resources. We develop a model for digital twin in the healthcare domain as a clinical decision support tool by extrapolating its current uses from the manufacturing domain. We illustrate the power of the developed model in the context of dementia. Given the rapid rise of chronic conditions and the pressures on healthcare delivery to provide high quality, cost-effective care anywhere and anytime, we assert that such an approach is consistent with a value-based healthcare philosophy and thus important as the numbers of people with dementia continues to grow exponentially and this pressing healthcare issue is yet to be optimally addressed. Further research and development in this rapidly evolving domain is a strategic priority for ensuring the delivery of superior dementia care.
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Affiliation(s)
- Nilmini Wickramasinghe
- Swinburne University of Technology, School of Health Sciences, Department of Health and Bio Statistics , Hawthorn, Australia
- Epworth HealthCare, Peter MacCallum Cancer Centre and Murdoch Children’s Research Institute , Australia
| | - Nalika Ulapane
- Swinburne University of Technology, School of Health Sciences, Department of Health and Bio Statistics , Hawthorn, Australia
| | - Amir Andargoli
- Swinburne University of Technology, School of Health Sciences, Department of Health and Bio Statistics , Hawthorn, Australia
| | - Chinedu Ossai
- Swinburne University of Technology, School of Health Sciences, Department of Health and Bio Statistics , Hawthorn, Australia
| | - Nadeem Shuakat
- Swinburne University of Technology, School of Health Sciences, Department of Health and Bio Statistics , Hawthorn, Australia
| | - Tuan Nguyen
- Swinburne University of Technology, School of Health Sciences, Department of Health and Bio Statistics , Hawthorn, Australia
| | - John Zelcer
- Swinburne University of Technology, School of Health Sciences, Department of Health and Bio Statistics , Hawthorn, Australia
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Ulapane N, Thiyagarajan K, Hunt D, Valls Miro J. Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors. J Vis Exp 2020. [PMID: 32009636 DOI: 10.3791/59618] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Abstract
Thickness quantification of conductive ferromagnetic materials by means of non-destructive evaluation (NDE) is a crucial component of structural health monitoring of infrastructure, especially for assessing the condition of large diameter conductive ferromagnetic pipes found in the energy, water, oil, and gas sectors. Pulsed eddy current (PEC) sensing, especially detector coil-based PEC sensor architecture, has established itself over the years as an effective means for serving this purpose. Approaches for designing PEC sensors as well as processing signals have been presented in previous works. In recent years, the use of the decay rate of the detector coil-based time domain PEC signal for the purpose of thickness quantification has been studied. Such works have established that the decay rate-based method holds generality to the detector coil-based sensor architecture, with a degree of immunity to factors such as sensor shape and size, number of coil turns, and excitation current. Moreover, this method has shown its effectiveness in NDE of large pipes made of grey cast iron. Following such literature, the focus of this work is explicitly PEC sensor detector coil voltage decay rate-based conductive ferromagnetic material thickness quantification. However, the challenge faced by this method is the difficulty of calibration, especially when it comes to applications such as in situ pipe condition assessment since measuring electrical and magnetic properties of certain pipe materials or obtaining calibration samples is difficult in practice. Motivated by that challenge, in contrast to estimating actual thickness as done by some previous works, this work presents a protocol for using the decay rate-based method to quantify relative thickness (i.e., thickness of a particular location with respect to a maximum thickness), without the requirement for calibration.
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Affiliation(s)
- Nalika Ulapane
- Melbourne School of Engineering, University of Melbourne;
| | | | - David Hunt
- Center for Autonomous Systems, University of Technology Sydney
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Valls Miro J, Ulapane N, Shi L, Hunt D, Behrens M. Robotic pipeline wall thickness evaluation for dense nondestructive testing inspection. J FIELD ROBOT 2018. [DOI: 10.1002/rob.21828] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jaime Valls Miro
- Centre for Autonomous Systems; University of Technology Sydney; Ultimo New South Wales Australia
| | - Nalika Ulapane
- Centre for Autonomous Systems; University of Technology Sydney; Ultimo New South Wales Australia
| | - Lei Shi
- Centre for Autonomous Systems; University of Technology Sydney; Ultimo New South Wales Australia
| | - Dave Hunt
- Centre for Autonomous Systems; University of Technology Sydney; Ultimo New South Wales Australia
| | - Michael Behrens
- Centre for Autonomous Systems; University of Technology Sydney; Ultimo New South Wales Australia
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