Slew of AI tools for Singapore's public healthcare in the works
Slew of AI tools for Singapore's public healthcare in the works
SINGAPORE - A chatbot that breaks down the jargon in medical reports and an app that assesses one's health by analysing the photo of one's tongue are among a slew of artificial intelligence (AI) tools that the public sector is developing here.
Showcased at the inaugural AI Accelerate conference organised by national healthcare tech provider Synapxe on June 16 , these innovations are poised to help patients and boost the productivity of healthcare workers.
Synapxe provides tech solutions to all three public sector healthcare clusters - SingHealth, National Healthcare Group, and National University Health System - in Singapore.
Here are some of the key projects.
1. HealthHub AI
This AI assistant will be rolled out on national healthcare portal HealthHub 's website later in 2025 . The feature might be introduced on the app in the future, depending on feedback gathered from users.
It will be able to answer healthcare-related and administrative questions from users in English, Chinese, Malay and Tamil. Users can also enter their gender, age, and any pre-existing condition to receive a more tailored response.
'It serves as a convenient tool to enhance health literacy by improving access to credible, evidence-based information that is curated for Singapore's unique context,' said Mr Andy Ta, chief data officer and director of data analytics and AI at Synapxe.
Information given to users are sourced from HealthHub's website, which contains content contributed by public healthcare agencies and workgroups such as the Health Promotion Board and National Medication Information Workgroup.
'It supports our public health goals by guiding users to relevant content quickly, helping them make informed decisions and ultimately encouraging better health outcomes,' said Mr Ta.
A beta version has been available for use on HealthHub's website since April , and members of the public can give their feedback until the end of August . So far, frequently asked questions include subsidies on health screenings and vaccinations, and lifestyle tips.
There are also plans to expand the range of supported languages, with Synapxe exploring the feasibility and stability of open-source and proprietary large-language models such as Sea-Lion developed by AI Singapore and Meralion developed by A*Star Institute for Infocomm Research.
Meralion, developed using the national speech corpus , is able to understand at least eight regional languages including Singlish, and can understand multiple languages when spoken in the same sentence. Sealion supports 13 languages such as Thai and Vietnamese, and reflects the native characteristics of South-east Asia.
Synapxe is also exploring a feature that lets users manage their appointment bookings via the AI assistant.
Along with the new AI boost, there are also plans to unify HealthHub with cluster-specific apps - Health Buddy, NHG Cares and NUHS app - by 2027 into one platform to improve online accessibility of public healthcare services.
2. Lab Report Buddy
Developed by Synapxe, this chatbot analyses medical lab reports uploaded by users and breaks down medical jargon, providing a comprehensible summary and explanation of the results.
Lab Report Buddy aims to reduce the struggle that patients often face in understanding reports due to the limited consultation time to go over the details.
For instance, a blood work report that contains results on haemoglobin and platelet levels might be displayed in numbers that are not interpreted. The chatbot would be able to summarise the results and inform the patient if the levels are considered low or high, and if a follow-up review with a doctor is necessary.
The bot is also trained to avoid phrases that might cause panic, lead the patient to self-diagnose, or make assumptions about the patient's health status or medical history.
The bot is being tested and validated in real-world settings at present .
3. Synseh
An app is being developed to allow users to take a photo of their tongue and answer a few questions to receive wellness recommendations.
Synseh will base its recommendations on the teachings of Traditional Chinese Medicine (TCM). For instance, a tongue's colour, shape, coating and moisture level can provide insights into the condition of a patient's internal organs, the presence of pathogenic factors, and the flow of blood and Qi (life force).
The app uses advanced computer vision techniques to detect subtle changes in tongue features.
'A pale tongue may indicate a deficiency in Qi or blood, while a red tongue might point to an excess of heat in the body,' said a Synapxe spokesperson.
A physician would then be able to give advice on how to combat excess body heat, such as incorporating cooling fruits and vegetables into one's diet.
The app is trained based on tongue photos that are openly sourced data, which are then labelled by physicians and lecturers from the Singapore College of TCM.
The app is currently a proof-of-concept, and Synapxe said it is closely monitoring the outcome before making plans for further deployment.
'Tongue diagnosis is just a starting for us to venture into the TCM domain,' said the spokesperson. 'Through this, we hope to evaluate and gather feedback on the application of AI in TCM in Singapore.'
4. CareScribe
It often takes up to one hour to hand over information about patients between nurses during shift changes.
An AI tool called CareScribe , developed by Alexandra Hospital's Research Office team with the help of IT services and consulting firm Avanade , aims to make this process shorter and neater.
'Most handovers are currently conducted through verbal communication with handwritten documentation, which can present challenges in maintaining consistency and completeness,' said Dr Ravi Shankar, principal investigator and research fellow at Alexandra Hospital's medical affairs research office .
CareScribe, which currently can be accessed via a webpage, allows nurses to upload photos or voice notes, which would then be transcribed and summarised in a structured format.
Handover notes usually include information such as a patient's medical background, current condition, prescribed medication, acuity levels, fall risks, and clinical observations in unstructured paragraphs.
The tool is able to organise information in an ABCDEFG template, which stands for acuity assessment, background history and behaviour, conditions and care plans, drugs, equipment, family and goals.
Critical clinical information such as patient safety alerts, medication-related updates, and scheduled procedures would also be highlighted by the system.
After having received approval by the ethics board recently, the tool is currently undergoing preliminary evaluation at Alexandra Hospital with a group of nursing staff. Any plans to integrate it with existing hospital systems will depend on research outcomes, security assessments, and institutional requirements, said Dr Shankar.
5. Healix (Health Empowerment thru Advanced Learning and Intelligent Exchange)
Launched in May 2024, Healix is a cloud-based platform that all public healthcare professionals can use to accelerate the development of their AI projects.
It consolidates data from across healthcare systems in Singapore, which are de-identified and encrypted. A range of tools and frameworks - such as pre-built algorithms and libraries and custom development options - are available for use to develop AI models.
For example, the National University Health System (NUHS) used Healix to analyse de-identified medical data and trained an AI model to predict the near-term risk of diabetes, hypertension and hyperlipidaemia.
6. Aspire (AI-enabled Short Performance Physical Battery Evaluation)
By getting patients to do a series of physical tests on camera, this AI-powered tool allows clinicians to screen for the prevalence and severity of frailty and sarcopenia.
To assess for such conditions, patients are usually asked to do the Short Physical Performance Battery (SPPB) evaluation, which would involve actions such as walking a set distance, sitting down and standing up five consecutive times, and balancing while standing.
Aspire digitalises and semi-automates this test, which aims to make screening faster, less reliant on manpower, and more accessible.
'At this point, Aspire is still a research project and is undergoing clinical trials in Tan Tock Seng Hospital (TTSH) and NHG polyclinics, and is used by clinicians within the healthcare facilities,' said associate professor Karen Chua, who is also a senior consultant at TTSH's rehabilitation centre.
'Future iterations could see this being scaled to community hospitals and partners, as well as caregivers to conduct the test remotely.'
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