Enterprise Singapore has published a set of provisional national standards to guide the industry in the development and deployment of fully autonomous vehicles (AVs). The guide is called TR 68. The Technical Reference 68 was developed to promote the safe deployment of fully autonomous vehicles in Singapore.
TR 68 was developed over the past year under the Singapore Standards Council’s (SSC’s) Manufacturing Standards Committee. An industry led effort, four working groups comprising representatives from the AV industry, research institutions, institutes of higher learning and government agencies developed standards.
The standards cover four key areas of AV deployment:
- Vehicle behaviour
- Vehicle functional safety
- Data formats
Many local and international stakeholders involved in the development of the TR 68 guidelines
Overseas experts were consulted during the development process. These efforts were supported by the SSC, Land Transport Authority, and Singapore Manufacturing Federation-Standards Development Organisation (SMF-SDO). As AV technology is relatively new, local and international experts from the industry, government agencies and academia are working together to develop this technical reference.
Mr Loh Ngai Seng, Permanent Secretary for Transport and Chairman of the Committee on Autonomous Road Transport for Singapore (CARTS) said, “The joint development of TR 68 reflects the close collaboration between the AV industry and Government as well as research institutions and institutes of higher learning.”
He added that “As we work together with the industry to prepare for the pilot deployment of autonomous vehicles in Punggol, Tengah and Jurong Innovation District in the early 2020s, we hope that TR 68 will guide AV industry players in the safe and effective deployment of AVs in Singapore.”
Interoperability of data and cybersecurity essential for the deployment of AVs
Ms Choy Sauw Kook, Director-General, Quality and Excellence Group, Enterprise Singapore said, “In addition to safety, TR 68 provides a strong foundation that will ensure interoperability of data and cybersecurity that are necessary for the deployment of AVs in an urban environment.
Mr Tan Nai Kwan, Chief Robotics Engineer and Vice President, Robotics Business Group, Singapore Technologies Engineering Land Systems Ltd said, “TR 68 is much welcomed by the industry as it provides autonomous vehicle developers like ST Engineering with clear guidelines that are benchmarked against international standards. This will ensure a smooth transition from the development to the operationalisation of autonomous vehicles in Singapore.
TR 68 will evolve with industry feedback and as technology develops
As a provisional standard, TR 68 will continue to undergo refinement as AV technology matures, with feedback from the industry. The feedback gathered will be used to review TR 68 as it is eventually expanded to cover other aspects of AV development and deployment.
Ms Choy Sauw Kook, Director-General, Quality and Excellence Group, Enterprise Singapore also said that “The TR 68 will also help to build up the AV ecosystem including start-ups and SMEs as well as Testing, Inspection and Certification service providers. This robust industry partnership is critical in developing other standards to support Smart Nation projects in Singapore and also for supporting future smart city projects in the ASEAN region.”
The SMF-SDO will be scheduling a workshop in the near future to help the industry understand and implement TR 68 effectively. TR 68 can be purchased from the Singapore Standards eShop at www.singaporestandardseshop.sg.
The Counter Ransomware Task Force (CRTF), which was formed to bring together Singapore Government agencies from various domains to strengthen Singapore’s counter-ransomware efforts, has issued its report.
Singapore’s efforts to promote a resilient and secure cyber environment, both domestically and internationally, to combat the rising ransomware threat are guided by the recommendations in the CRTF report.
According to David Koh, Commissioner of Cybersecurity, Chief Executive of CSA and Chairman of the CRTF, ransomware poses a threat to both businesses and individuals. Economically, socially, and even in terms of national security, it can be detrimental. Both internationally and across domains, ransomware is a problem.
“It requires us to collaborate and draw on our knowledge in a variety of fields, including cybersecurity, law enforcement, and financial supervision. It also necessitates that we work with like-minded international partners to identify a common problem and develop solutions,” David explains.
He exhorts businesses and individuals to contribute as well, strengthening the nation’s overall defence against the ransomware scourge.
Cybercriminals use malicious software known as ransomware. When ransomware infects a computer or network, it either locks the system or encrypts the data on it. For the release of the data, cybercriminals demand ransom money from their victims.
A vigilant eye and security software are advised to prevent ransomware infection. Following an infection, malware victims have three options: either they can pay the ransom, attempt to remove the malware, or restart the device.
Extortion Trojans frequently employ the Remote Desktop Protocol, phishing emails, and software vulnerabilities as their attack vectors. Therefore, a ransomware attack can target both people and businesses.
The ransomware threat has significantly increased in scope and effect, and it is now a pressing issue for nations all over the world, including Singapore.
The fact that attackers operate internationally to elude justice makes it a global issue. Ransomware has created a criminal ecosystem that offers criminal services ranging from unauthorised access to targeted networks to money laundering services, all fed by illicit financial gains.
Singapore must approach the ransomware issue as a cross-border and cross-domain problem if it is to effectively combat the ransomware threat.
Other nations should adopt comparable domestic measures to coordinate their financial regulatory, law enforcement, and cybersecurity agencies to combat the ransomware issue and promote international cooperation.
Three significant results were the culmination of the CRTF’s work. For government agencies to collaborate and create anti-ransomware solutions, they first developed a comprehensive understanding of the ransomware kill chain.
Second, it examined Singapore’s stance on paying ransom to cybercriminals. Third, for the government to effectively combat ransomware, the CRTF suggested the following policies, operational plans, and capabilities under four main headings:
Pillar 1: Enhances the security of potential targets (such as government institutions, critical infrastructure, and commercial organisations, especially small and medium-sized businesses) to make it more difficult for ransomware attackers to carry out successful attacks.
Pillar 2: To lower the reward for ransomware attacks, disrupt the ransomware business model.
Pillar 3: To prevent ransomware attack victims from feeling pressured to pay the ransom, which feeds the ransomware industry, support recovery.
Pillar 4: Assemble a coordinated international strategy to combat ransomware by cooperating with international partners. Singapore should concentrate on and support efforts to promote international cooperation in three areas that have been identified by the CRTF: law enforcement, anti-money laundering measures, and discouraging ransom payments.
The appropriate government agencies will take the recommendations of the CRTF under consideration for additional research and action.
An international team led by The Chinese University of Hong Kong (CUHK)’s Faculty of Medicine (CU Medicine) has successfully developed the world’s first artificial intelligence (AI) model that can detect Alzheimer’s disease solely through fundus photographs or images of the retina. The model is more than 80% accurate after validation.
Fundus photography is widely accessible, non-invasive and cost-effective. This means that the AI model incorporated with fundus photography is expected to become an important tool for screening people at high risk of Alzheimer’s disease in the community. Details have been published in The Lancet Digital Health under the international journal The Lancet.
Limitations of Alzheimer’s disease current detection methods
In Hong Kong, 1 in 10 people aged 70 or above suffers from dementia, with more than half of those cases attributed to Alzheimer’s disease. This disease is associated with an excessive accumulation of abnormal amyloid plaque and neurofibrillary tangles in the brain, leading to the death of brain cells and resulting in progressive cognitive decline.
The Clinical Professional Consultant of the Division of Neurology in CU Medicine’s Department of Medicine and Therapeutics stated that memory complaints are common among middle-aged and elderly people, and are often considered a sign of Alzheimer’s disease.
It is sometimes difficult to make an accurate diagnosis of Alzheimer’s disease based on cognitive tests and structural brain imaging. However, methods to detect Alzheimer’s pathology, such as an amyloid-PET scan or testing of cerebrospinal fluid collected via lumber puncture, are invasive and less accessible.
To address the current clinical gap, CU Medicine has led several medical centres and institutions from Singapore, the United Kingdom and the United States to successfully develop an AI model using state-of-the-art technologies which can detect Alzheimer’s disease using fundus photographs alone.
Studying disorders of the central nervous system via the retina
The S.H. Ho Professor of Ophthalmology and Visual Sciences and Chairman of CU Medicine’s Department of Ophthalmology and Visual Sciences explained that the retina is an extension of the brain in terms of embryology, anatomy and physiology. In the entire central nervous system, only the blood vessels and nerves in the retina allow direct visualisation and analysis.
Thus, it is widely considered a window through which disorders in the central nervous system can be studied. Through non-invasive fundus photography, a range of changes in the blood vessels and nerves of the retina that are associated with Alzheimer’s disease can be detected.
The team developed and validated their AI model using nearly 13,000 fundus photographs from 648 Alzheimer’s disease patients (including patients from the Prince of Wales Hospital) and 3,240 cognitively normal subjects. Upon validation, the model showed 84% accuracy, 93% sensitivity and 82% specificity in detecting Alzheimer’s disease. In the multi-ethnic, multi-country datasets, the AI model achieved accuracies ranging from 80% to 92%.
Accessibility, non-invasiveness and high cost-effectiveness of the AI model using fundus photography help the detection of Alzheimer’s cases both in the clinic and the community
A Professor of Medicine and Director of the Therese Pei Fong Chow Research Centre for Prevention of Dementia at CU Medicine stated that in addition to its accessibility and non-invasiveness, the accuracy of the new AI model is comparable to imaging tests such as magnetic resonance imaging (MRI).
It shows the potential to become not only a diagnostic test in clinics but also a screening tool for Alzheimer’s disease in community settings. Looking ahead, the team aims to validate its efficacy in identifying high-risk cases of the disease hidden in the community, so that various preventive treatments such as anti-amyloid drugs can be initiated early to slow down cognitive decline and brain damage.
The Associate Professor in the Department of Ophthalmology and Visual Sciences at CU Medicine said that in addition to applying novel AI technologies in the model, the team also tested it in different scenarios. Notably, their AI model retained a robust ability to differentiate between subjects with and without Alzheimer’s disease, even in the presence of concomitant eye diseases like macular degeneration and glaucoma which are common in city-dwellers and the older population.
Their results further support the hypothesis that the team’s AI analysis of fundus photographs is an excellent tool for the detection of memory-depriving Alzheimer’s disease. To move this research towards clinical application, the team is developing an integrated, AI-based platform to combine information from both blood vessels and nerves of the retina captured by fundus photography and optical coherence tomography for the detection of Alzheimer’s disease. Their findings should provide more evidence to move AI from code to the real world.
The Indonesian government disclosed four potential uses of Big Data and AI to improve its e-government programmes. These two technologies, they feel, have the potential to support disaster identification and preventive action, prevention of illegal activities and cyber-attacks and increase workforce effectiveness.
The Director General of Informatics Applications, Semuel A. Pangerapan, explained several scenarios for Big Data. According to him, the government can use Big Data to improve critical event management and the quality of the response by identifying problem points through Big Data Analytics. For example, the agencies can be better prepared to prevent and mitigate natural disasters such as drought, epidemics or massive accidents occur.
In addition, Big Data can also enhance the government’s ability to prevent money laundering and fraud through better surveillance to detect such illegal activities.
Furthermore, Big Data significantly reduces the possibility of cyber-attacks. Cyber-attacks can come from external parties, data leaks or internally for a variety of reasons. An analysis of patterns and unusual activities can help in preventing or managing such cyber issues.
Big Data and analytics can contribute to workforce effectiveness by increasing monitoring. In addition, it can be used for policy design, decision-making and gaining insights.
Semuel stressed the importance of data analysis after collecting all data in the right fashion. Data is only valuable if it is collected correctly and then analysed – data will only provide benefits if processed in the right way. “In its implementation, AI helps analyse existing Big Data, providing data understanding or insight to help make decisions,” he explained.
Another advantage of AI is the ability to speed up new implementation services and corrections in real-time. At the evaluation stage, AI can also provide suggestions for adjustments and improvements to subsequent policies.
Currently, the encourages the improvement of the quality of Big Data and AI innovation through the development of e-government. The Indonesian government is also open to third parties to accelerate Big Data and AI use.
E-government has made progress in recent years and received appreciation from the United Nations in 2020. The UN said that Indonesia’s e-government development index rose to rank 88 from previously ranked 107 in 2018. Indonesia’s e-participation index has also increased from rank 92 in 2018 to 57 in 2022.
“The two rankings show an increase in the quality of Indonesia’s e-government and the level of community activity in using e-government services,” said Semuel.
However, the government faced challenges in implementing these two technologies. Overlapping and data replication is one of the main problems. “Regulatory obstacles in the procurement of government Big Data infrastructure also need to be overcome. Then compliance with international standards for the national Big Data ecosystem is also still the government’s homework.”
To optimise AI use, Semuel emphasised the need for a skilled workforce, regulations governing the ethics of using AI, infrastructure, and industrial and public sector adoption of AI innovations.
The government is implementing several solutions to overcome challenges. First, they have provided suitable facilities in the form of National Data Centres (NDCs) in four separate locations. The NDCs will accommodate Government Cloud and contain national data across sectors.
Optimisation of data centre utilisation needs to be supported by staff with qualified expertise. For this reason, the government is holding digital skills training on AI and Big Data through the Digital Talent Scholarship (DTS) and Digital Leadership Academy (DLA) programs.
Apart from facilities and upskilling, Indonesia is looking to develop a business ecosystem that utilises AI and Big Data. Support for this comes from the National Movement of 1000 Digital Startups, Startup Studio Indonesia (SSI) and HUB.ID.
Thailand’s Electronic Transactions Development Agency (ETDA) has recently launched the AI Governance Clinic (AIGC) which will serve as a source of Thai and overseas knowledge and expertise on governance related to artificial intelligence (AI) and its adoption.
ETDA is joining forces with the nation’s National Electronics and Computer Technology Centre (NECTEC), the Ministry of Public Health’s Department of Medical Services, and the Department of Health Service Support. A memorandum of understanding (MoU) between ETDA and the three partners was signed during the nation’s “Building Trust and Partnership in AI Governance” event.
AI is currently having a significant impact on almost every aspect of people’s lives, including work, business, education, finance, health, and electronic transactions, according to ETDA Executive Director Dr Chaichana Mitrpant. “These issues all involve the application of AI.”
A six-year national AI implementation plan for national development between 2022 and 2027 was recently approved by the Cabinet. The adoption of AI with governance along with pertinent laws and regulations is one strategy outlined in the plan for ensuring that users understand social responsibility.
Thailand is getting ready to adopt AI, another cutting-edge technology that is gaining popularity and relevance. ETDA is an organisation that supports a secure and reliable ecosystem for electronic transactions.
To achieve the objectives outlined in the implementation plan, the agency is collaborating with NECTEC. A study on Thailand’s AI standard landscape to develop AI adoption measures and a study on measures to assess AI-based computer programmes to increase the capacity of Thai entrepreneurs in all industries in accordance with international standards are among their important joint projects.
To create a framework for AI governance regarding electronic transactions that are in line with Thailand’s context and international standards, ETDA and its partners – both in Thailand and abroad – established the Clinic.
The Clinic is collaborating with the Academy of Digital Transformation by ETDA to provide resources for capacity development at all levels. Additionally, the AIGC has a substantial library of knowledge sources on pertinent topics, as well as experts from numerous nations who are prepared to provide guidance on AI policies and governance.
An additional Memorandum of Understanding (MoU) was signed by ETDA and its partners NECTEC, the Department of Medical Services, and the Department of Health Service Support for the joint development of an AI governance framework that is appropriate for the Thai context for the country’s healthcare industry.
The collaboration aims to advance the sharing of innovation and AI technology knowledge among the participating agencies and to inform pertinent agencies about AI governance. Thailand’s AI strategy was inspired by a desire to boost the nation’s economy and the quality of life for its people as well as a competitive spirit.
Thailand strives to develop the human capacity and skills required for an AI ecosystem despite the difficulties it faces in developing AI capabilities. They created a formal network and consortium as a result. Thailand will train future AI professionals through structured academic programmes in Thai universities, in addition to bridging the gap between existing academic and industrial experts.
ETDA is the primary agency responsible for developing, promoting, and supporting electronic transactions and it is part of the Ministry of Information and Communication Technology. Its primary responsibility is to research, study, and support the operation of the Electronic Transaction Committee and other related agencies, hence, it contributes to the development and promotion of Thailand’s electronic transactions.
Enterprise transformation refers to a significant shift in the way a company conducts its day-to-day operations. This could involve adjusting an organisation’s fundamental technology, the structure of the company’s workforce or the way the company creates and markets its goods.
Enterprise transformation can take many different forms, one of the most prevalent of which is when an organisation makes a significant change in the products or services it offers. Currently, with digital technology, adjustments like this are occurring more frequently.
Companies are realising that they need to modify their approaches to meet the ever-evolving requirements of their customers as well as the consistently expanding standards set by their rivals.
Simultaneously, several Digital technologies, including Artificial Intelligence, the Internet of Things, Blockchain, Big Data, Virtual reality, Augmented Reality, Robotics and automation, among others, have the potential to transform how businesses operate. They can transform various functions of the value chain, such as logistics & supply, manufacturing, engineering, marketing, customer service, corporate management and support functions.
With their versatility and agility, these technologies can be deployed to numerous industries, among these are Healthcare, Food & Beverage, Manufacturing, Services and Mobility.
Innovative Business: What Lies Ahead?
“Businesses need innovation, not only for survival but for future growth,” says Vikram. “Innovation could emerge as product innovation, process innovation, service innovation or business model innovation to create a long-term sustainable advantage.”
Enterprises have been creating legacies based on research and development (R&D) which has LED them to incremental innovations. However, innovation is disruptive or transformational and it can be around product processes, services and business models.
Transformational innovation represents innovation that transforms businesses and innovates processes to create long-term sustainable, competitive, profitable business models. Disruptive innovation is targeted more towards identifying and inventing new mechanisms to solve existing and anticipated problem statements in businesses, which is also expected to have a business impact.
Many businesses do not distinguish between R&D and innovation. Enterprises today, however, are better able to distinguish themselves from one another and can understand and appreciate the impact that innovation has in comparison to R&D’s function.
R&D is an essential part of most businesses, and the benefits it brings are usually small and mostly limited to the people who work in R&D.
Innovation, on the other hand, isn’t just a function; it’s also a way of thinking for the whole organisation. It affects everything from the process to the product to the service to the business model, and the expected size of its effects is disruptive rather than incremental.
This further demonstrates how the current difficult business and economic environment has forced companies with lower levels of technology adoption and digital maturity to rethink their operations.
Enterprises can now assess the possibilities that technology integration may bring about, not only to address their current problem statements but also to consider new opportunities, whether it takes the form of a product, service, or business model.
There are a few common KPIs that should be measured regularly to gauge an organisation’s and its employees’ level of digital maturity. Vikram believes that because every organisation is unique, the KPIs used for assessments will vary.
For example, the key metrics for some common functions, like customer experience, data and insights, strategic and leadership, technology, operations, digital skill sets and so on, would need to be customised based on how they have changed and how they are changing now.
“We can get innovations which can predict based on the data analytics for the next 10 years,” Vikram reveals. “Every organisation should think out-of-the-box. Then they only need the right set of people who can guide them for the KPIs to be defined.”
Additionally, a variety of industries, including those in healthcare, food and beverage, manufacturing, services, FMCG, mobility, hospitality, and many more, can adapt to new technologies.
The following are crucial actions that businesses need to take today to digitally transform their futures:
- Identify your key employees’ level of digital maturity
- Research the technologies that are currently being used by the Enterprise’s various functions
- Select current issue citations
- Sort the problem statements according to priority
- Assess a system for locating, evaluating, and integrating digital technologies
- After a framework has been chosen and put into place, make the process iterative
- Establish it as the Enterprise’s mentality
Urban Ideas and Solutions Through LKYGBPC
When it comes to entrepreneurs who are truly pushing the envelope, Vikram is looking for certain characteristics. One of these is how the participants interact with businesses, which is determined by a unique set of criteria.
“And because we engage with various sets of parameters when looking at entrepreneurs, we can combine their efforts with those of the business,” Vikram explains.
Therefore, they bring the enterprise work and the entrepreneurs together when looking at the entrepreneurs, especially in the GHV DX LAB framework – they are the project managers and the system integrator for GHV.
The digital transformation, specifically the adoption of online business models and the general shift of economic and social activities online, particularly during the COVID-19 pandemic, has altered how economies operate, businesses function and societies interact.
The exploitation of data is the driving force behind the emergence of a new type of data-driven economy. It creates new opportunities for international cooperation to leapfrog the intermediate infrastructure of the industrial age, taking advantage of the new markets made available by digital platforms and the improved service delivery made possible by smart technologies.
In addition, the most effective mechanism in education would be to integrate innovation and entrepreneurship at the earliest possible stages of the educational system. In today’s context, entrepreneurship is about more than just passion, raising capital, or coding something; it’s about building a network around yourself to support your entrepreneurial journey. The network is critical.
Vikram spent sixteen years in Japan before relocating to Singapore and India to establish a business. He has realised that he must contribute significantly to society. For Vikram, LKYGBPC is a fantastic platform that can be an integral part of any entrepreneur’s entrepreneurial journey.
As opportunities for entrepreneurs are created through this platform, a global network of mentors and other ecosystem partners are integrated with LKYGBPC to focus on the entrepreneurs. “I think it’s a fantastic platform that is desperately needed right now, not just in the context of Singapore or Southeast Asia, but for the global market,” Vikram is convinced.
He believes that a combination of all these factors pushed him into the venture capital world. “I enjoy being a techie. But I’m enjoying my current role as a mentor to thousands of Asian entrepreneurs.”
Vikram has mentored over 1200 startups to date, including 3 that will soon be unicorns. He has personally invested in over 50 startups, and through the GHV Fund, he has invested in over 20 startups. “Every day, I learn something new and give it back to society in the same way.”
Building intellectual property (IP) rights has been the best part of his digital journey so far, and he hopes to keep doing this. “The level of self-satisfaction I feel is never as high as when I say IP is greater. You can make a lot of money consulting, but that doesn’t get me excited if you can’t create IP and work together. And that’s why what we’ve been doing around it can be great,” Vikram concludes.
The Department of Architecture under the National University of Singapore College of Design and Engineering (NUS CDE) opened the Architectural Conservation Laboratory (ArClab), a unique living laboratory housed in a conserved building which will serve as a site for researchers, graduate students and built heritage professionals to conduct a wide range of teaching and research activities on sustainable development of the built environment.
ArClab was established in January 2022 to achieve four key goals:
- augment the training capabilities of Singapore’s building industry in built heritage conservation;
- develop innovative use of technologies to enhance conservation;
- conduct high-impact research into broader conservation issues; and
- promote climate resilience and net-zero retrofit in historic buildings.
Over the next four to five years, ArClab will undertake the restoration of 141 Neil Road, a historic townhouse in the Blair Plain Conservation Area. The Portabella family, who owned the house, had recently donated it to the University, along with a gift of S$2 million, to support its repair and conservation works.
The Head of the NUS Department of Architecture and UNESCO Chair on Architectural Heritage Conservation and Management in Asia noted that as the first of its kind in Southeast Asia, the ArClab aims to be an exemplar and pedagogical demonstration of sensitive repair and conservation, adaptive reuse of heritage, and sustainable management of the historic environment.
The building’s conservation process will provide opportunities for both teaching and research. Using the conserved townhouse as a living lab, ArClab will showcase a new model for learning about the historic environment, building professional capacity to manage historical resources, and promoting historical and environmental studies.
The Deputy Dean (Research), the NUS College of Design and Engineering noted that ArClab is a timely endeavour that gathers expertise in engineering, design and architecture from the NUS College of Design and Engineering to preserve our history and build skills to address Singapore’s unique urban sustainability concerns.
Speaking at the opening of ArClab, the Minister for National Development and Minister-in-charge of Social Services Integration noted that he is excited to see ArClab become an engine to develop the knowledge of conservation practices and skills locally; develop heritage capacity building in Singapore and the region; support building owners in the maintenance and restoration of heritage buildings; grow Singapore’s overseas presence in built heritage and break new ground internationally and see how sustainability and liveability can be imbued inbuilt heritage.
Bring cultural heritage to life
One of the oldest buildings in the entire stretch of Neil Road, the historic house was built as part of the Everton Estate in the 1880s. The historic building contains a collection of decorative tiles depicting English Art Noveau and Chinese motifs. It is adorned with several auspicious Chinese character plaques in clerical and cursive font styles.
Housed within the historic building, ArClab will be a dynamic “classroom in the city” for students taking graduate programmes and doctoral studies in built heritage management. They will play a significant role in the repair and conservation works.
Students will learn and conduct research on areas such as traditional building materials and craftsmanship; the use of innovative technologies for repair works, energy efficiency and comfort; and net-zero retrofit in historic buildings. ArClab will also design and deliver advanced courses for professionals working in the field of built heritage.
The research will be conducted alongside teaching activities in the conserved building. NUS researchers will carry out various projects, including conducting research, documentation and restoration of Singapore’s heritage using innovative technologies such as 3D modelling; developing an integrated approach for energy efficiency and net-zero retrofit of Singapore’s historic buildings; testing and developing traditional building materials and techniques as well as using innovative technologies for conservation and repair works in the Singapore context; and estimating the impact of the high-density urban surroundings on the microclimate of historic districts.
A broad range of advanced equipment will be available for researchers and students to conduct holistic research and training.
Seven intelligent robots have been installed in the wards of Yishun Community Hospital (YCH) to welcome patients and bring supplies to the bedside. These brand-new Temi Robots, known as Angel, were introduced to support nursing care so that nurses could focus their time and energy on clinical tasks while still giving patients a personal and meaningful touch.
These robots are loaded with patient education materials that patients and their caregivers can easily access, in addition to providing announcements and reminders throughout the day in all four major languages.
They also have a variety of features like games and entertainment, teleconference tools, and translation capabilities. YCH hopes to further improve patient engagement and satisfaction in its wards with the new addition.
A pilot project using Nao Robots was also used by YCH in previous years to assist dementia patients in their rehabilitation. Robot Therapy, which was started by the staff at YCH in 2018, is now a part of the therapy-related services offered there.
YCH, which is conceived of as a healing space for patients, offers intermediate care for recovering patients who do not require the intensive care services of an acute-care hospital. With rehabilitation and therapy at the heart of the hospital’s mission, the team was eager to investigate the potential of the innovation, Robot Therapy.
Because they can perform a wide range of tasks with little to no value added, hospital robots offer a reliable solution, freeing up doctors, nurses, and surgeons to focus on more high-value work. Robots have become an integral part of the healthcare industry, with many hospitals now using them to perform both surgical and administrative tasks.
In addition, prior to the arrival of Nao Robots in Singapore, a few local nursing homes used Paro, a robot that mimics the appearance, movement, and sounds of a baby seal. The therapeutic robot seal’s use is like animal therapy in that the robot helps to calm elderly people who have dementia or a loss of cognitive function.
The Nao robot, on the other hand, came with higher expectations: it can express emotions like laughter or sadness during interactions; it can interact and communicate with patients in different languages; and it has optic, audio, and impact sensors and motors to detect surroundings, interpret detection, and activate programmed responses.
Various interaction and language modes can be programmed into the Nao robot. The YCH Robot Therapy team took advantage of this by incorporating the robot into specific therapy sessions. This increased efficiency freed up nursing time, which could then be used for other care activities. Nao robot therapy sessions were trialled with 48 patients from the Dementia ward in October 2018.
Patients with Behavioural and Psychological Symptoms of Dementia (BPSD) require more care and attention, so this was chosen as the pilot ward. By introducing the Nao robot, YCH has increased patient engagement, motivate them to engage in social activities, and shorten the time required for social activities so that caregivers could concentrate on other care-related tasks.
The implementation process was divided into three stages: training staff, selecting suitable patients and assessing seniors who participated in the Robot Therapy programme using the Observed Emotion Rating Scale.
Singhealth asserts that the COVID-19 pandemic, which hastened the adoption of these solutions and accelerated the digital transformation of healthcare systems globally, has sparked a tremendous interest in digital technology and virtual health solutions.
A group of clinician innovators from SingHealth sought to ascertain whether digital interventions are more affordable and provide patients with greater value and benefits in anticipation of this continuing upward trend, and they discovered that this may not always be the case for some eye conditions.