SGP-004

mindline.sg + Wysa Digital Mental-Health Chatbot

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Singapore East Asia & Pacific High income Operational Deployment (Limited Rollout) Confirmed

MOH Office for Healthcare Transformation (MOHT), with support from Ministry of Social and Family Development (MSF), National Council of Social Service (NCSS), and Institute of Mental Health (IMH)

At a Glance

What it does Perception and extraction from unstructured inputs — User communication and interaction
Who runs it MOH Office for Healthcare Transformation (MOHT), with support from Ministry of Social and Family Development (MSF), National Council of Social Service (NCSS), and Institute of Mental Health (IMH)
Programme mindline.sg + Wysa Digital Mental-Health Chatbot
Confidence Confirmed
Deployment Status Operational Deployment (Limited Rollout)
Key Risks Not assessed
Key Outcomes Increased accessibility to low-intensity mental-health support; evidence from peer-reviewed evaluation (SingHealth & MOH, 2022) shows reduced anxiety and depressive symptoms among users.
Source Quality 3 sources — Academic journal article, Government website / press release

mindline.sg is Singapore's national digital first-stop touchpoint for mental health, developed and operated by the MOH Office for Healthcare Transformation (MOHT) with support from the Ministry of Social and Family Development (MSF), the National Council of Social Service (NCSS), and the Institute of Mental Health (IMH). The platform was launched in June 2020, driven by the COVID-19 pandemic, to address emergent mental health needs following lockdowns and major societal disruption. It aims to promote wellbeing, destigmatise help-seeking behaviour, and foster communities of care and support by empowering individuals with self-care resources and access to professional help.

The platform operates as an anonymous web application, requiring no registration and collecting no personally identifiable information. Only an anonymous user ID associated with the browser and device (a cookie ID) is generated, along with an optionally provided nickname and age range for personalisation. This emphasis on anonymity is designed to reduce barriers to use in a context where stigma around mental health remains a significant challenge. mindline.sg offers several key features: a clinically validated self-assessment tool composed of the GAD-7 (for anxiety) and PHQ-9 (for depression and self-harm ideation) instruments, which triages users into one of four wellness protocols (well, mild, moderate, and in crisis) based on symptom severity; an AI chatbot from Wysa that delivers dialogue-based therapeutic exercises inspired by cognitive behavioural therapy (CBT); a service wayfinding tool to locate the most suitable mental health services; over 500 curated local self-help resources; and a community feature for users to get advice and help from peer supporters and therapists. In July 2021, a tailored version called mindline at work was added, targeting working adults with resources around common workplace stressors.

The Wysa chatbot, embedded into the platform from October 2020, uses proprietary AI and natural language processing/understanding (NLP/NLU) algorithms that classify user inputs to understand messages and guide conversations. The AI operates within a rules-based decision-tree framework, using fixed, pre-defined scripts validated by clinicians for safety. The chatbot deploys a suite of dialogue-based interactive exercises teaching skills such as mindfulness, managing stressors, meditation, reframing thoughts, and sleep techniques. It can also engage in free-form conversations, providing users with a space to share their emotions anonymously. Brief interventions on the website can be completed within 5 to 10 minute interactions, while the full Wysa app offers access to over 150 interventions within its self-care library. The chatbot is licensed for free use within Singapore. If the chatbot detects a user in an emergency, such as one expressing self-harm ideation, it immediately directs them to local emergency services.

An advisory and editorial board (AEB) consisting of mental health and healthcare leaders and experts from Singapore's healthcare ecosystem was formed to oversee platform development, while a clinical review panel of qualified mental health clinicians provided validation of the clinical effectiveness and safety of content and referral methodologies. Users assessed into the moderate protocol are directed to counselling centres and hotlines, while those assessed into the crisis protocol are directed to emergency hotlines and suicide prevention resources.

In the two years following launch (July 2020 through June 2022), the platform received over 447,000 unique visitors, representing approximately 15 percent of its target population of 3 million. Of these, 62 percent (277,727) explored the site or engaged with resources. The Wysa chatbot was the most popular feature, used by 25.54 percent of nonbounced visitors (67,626 users), with 75.6 percent of chatbot users exchanging more than five messages. A completion rate of 74.5 percent was achieved for all therapeutic exercises initiated. The self-assessment tool was the second most popular feature, completed by 11.69 percent of nonbounced visitors (32,469 users). A separate mixed-methods study analysing 69,055 website users and 4,103 app users found that 83 percent of users who rated the app scored it 3 or higher out of 5 on helpfulness. Among users who attempted cognitive restructuring exercises on the app, 91.6 percent successfully reframed a negative thought. Study data were de-identified using one-way cryptographic functions, and usage analytics were captured through Google Analytics and custom APIs feeding into an analytics infrastructure based on Titanium Database and Metabase.

The platform is positioned within Singapore's broader person-centric mental health system strategy, and MOHT, as the lead implementing agency, seeks to achieve integrated mental health support spanning self-care, community support, and professional referral pathways.

Classifications follow the DCI AI Hub Taxonomy. Hover over field labels for definitions.

Social Protection Functions

Implementation/delivery chain
Provision of payments/services primaryOutreach/communications/sensitisation
SP Pillar (Primary) The social protection branch: social assistance, social insurance, or labour market programmes. Social assistance
Programme Name mindline.sg + Wysa Digital Mental-Health Chatbot
Programme Type The type of social protection programme, classified under social assistance, social insurance, or labour market programmes. View in glossary Other
System Level Where in the social protection system the AI is applied: policy level, programme design, or implementation/delivery chain. View in glossary Implementation/delivery chain
Programme Description mindline.sg is Singapore's national digital first-stop touchpoint for mental health. It provides anonymous access to a clinically validated self-assessment tool, an emotionally intelligent chatbot for self-care exercises, a service wayfinding tool, over 500 self-help resources, and a community of peer supporters and therapists. The platform is operated by the MOH Office for Healthcare Transformation (MOHT) with support from MSF, NCSS, and IMH.
Implementation Type How the AI output is produced: Classical ML, Deep learning, Foundation model, or Hybrid. Affects validation, compute requirements, and governance profile. View in glossary Deep learning
Lifecycle Stage Current stage in the AI lifecycle, from problem identification through to monitoring, maintenance and decommissioning. View in glossary Monitoring, Maintenance and Decommissioning
Model Provenance Origin of the AI model: developed in-house, adapted from open-source, commercial/proprietary, or accessed via third-party API. View in glossary Commercial/proprietary
Compute Environment Where the AI system runs: on-premise, government cloud, commercial cloud, or edge/device. View in glossary Not documented
Sovereignty Quadrant Classification of data and compute sovereignty: I (Sovereign), II (Federated/Hybrid), III (Cloud with safeguards), or IV (Shared Innovation Zone). View in glossary Not assessed
Data Residency Where the data used by the AI system is stored: domestic, regional, or international. View in glossary Not documented
Cross-Border Transfer Whether data crosses national borders, and if so, whether documented safeguards are in place. View in glossary Not documented
Decision Criticality The rights impact of the decision the AI supports. High criticality requires HITL oversight; moderate requires HOTL; low may operate HOOTL. View in glossary Moderate
Human Oversight Type Level of human involvement: Human-in-the-Loop (active review), Human-on-the-Loop (monitoring), or Human-out-of-the-Loop (periodic audit). View in glossary HOTL
Development Process Whether the AI system was developed fully in-house, through a mix of in-house and third-party, or fully by an external provider. View in glossary Mix of in-house and third-party
Highest Risk Category The most significant structural risk source identified: data, model, operational, governance, or market/sovereignty risks. View in glossary Not assessed
Risk Assessment Status Whether a formal risk assessment, informal assessment, or independent audit has been conducted for this system. Not assessed

Impact Dimensions

Systemic and societal
  • Data minimisation controls
  • Grievance mechanism
  • Independent evaluation
CategorySensitivityCross-System LinkageAvailabilityKey Constraints
Survey and census dataPersonalSingle source (no linkage)Currently available and usedSelf-reported via validated clinical instruments (PHQ-9 and GAD-7); users triaged into wellness protocols (well, mild, moderate, crisis) based on scores.
Unstructured and text-based contentPersonalSingle source (no linkage)Currently available and usedUser conversations are anonymous by design; no personally identifiable information collected. Only anonymous user IDs via browser/device cookies. Optional nickname and age range are user-provided.

Boo, C., Koh, J., Ng, Y.H. et al. (2024). Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational study. Frontiers in Digital Health, 6, 1443598. doi: 10.3389/fdgth.2024.1443598.

View source Academic journal article

Chew, H.S.J., Chng, M.L., Rajasegaran, N.N. et al. (2024). Mental Wellness Self-Care in Singapore With mindline.sg: A Tutorial on the Development of a Digital Mental Health Platform for Behavior Change. Journal of Medical Internet Research, 26, e44443. doi: 10.2196/44443.

View source Academic journal article

MOH Office for Healthcare Transformation (2020). mindline.sg. Singapore: MOHT. Available at: https://www.moht.com.sg/our-programmes/mindline-sg/ (Accessed 22 Mar 2026).

View source Government website / press release
Deployment Status How far the system has progressed into real-world operational use, from concept/exploration through to scaled and institutionalised. View in glossary Operational Deployment (Limited Rollout)
Year Initiated The year the AI system was first initiated or development began. 2020
Scale / Coverage The scale and geographic or population coverage of the deployment. Unknown
Funding Source The source(s) of funding for the AI system development and deployment. Unknown
Technical Partners External technology vendors, academic partners, or development partners involved. Wysa (private developer) integrated within the national mindline.sg portal.
Outcomes / Results Increased accessibility to low-intensity mental-health support; evidence from peer-reviewed evaluation (SingHealth & MOH, 2022) shows reduced anxiety and depressive symptoms among users.

How to Cite

DCI AI Hub (2026). 'mindline.sg + Wysa Digital Mental-Health Chatbot', AI Hub AI Tracker, case SGP-004. Digital Convergence Initiative. Available at: https://socialprotectionai.org/use-case/SGP-004 [Accessed: 1 April 2026].

Change History

Created 30 Mar 2026, 08:41
by v2-import (import)