Success Stories: HealthX Innovation Sandbox (HXIS)

What is HealthX Innovation Sandbox 2.0 (HX-IS 2.0)?

HealthX Innovation Sandbox 2.0 (HX-IS 2.0) represents the next leap in Singapore’s HealthTech innovation ecosystem. Building on the successes of Sandbox 1.0, the upgraded platform offers developers and innovators greater flexibility, expanded access to synthetic anonymised healthcare data, and improved interoperability across systems. HX IS 2.0 now integrates both AWS and Microsoft Azure cloud environments and provides access to more than 2,300 healthcare APIs based on HL7 FHIR standards, enabling innovators to develop, test, and validate solutions safely in a close to production healthcare environment. These enhancements aim to empower start ups and partners to accelerate development cycles and co create the next generation of healthcare technologies.

Check out this HealthX Innovation Sandbox 2.0 story featured on CNA here.

 

How companies are able to benefit from it?

Companies using the HealthX Innovation Sandbox gain a secure, production equivalent environment to rapidly experiment, prototype, and integrate solutions with real world healthcare systems. With access to cloud native tools, synthetic datasets, and thousands of healthcare APIs, innovators can shorten validation cycles, reduce integration risks, and demonstrate value to public healthcare partners more efficiently. These capabilities help companies “start fast, prove fast, and scale confidently” within Singapore’s robust healthcare ecosystem. Interested companies can learn more and get on board via the HealthX Innovation Sandbox page: https://innovation.healthx.sg



HX-IS 2.0 success stories

1. Us2.ai provides a patented, FDA-cleared, and CE-marked clinical decision support solution that generates a complete cardiac echocardiographic report in under two minutes. By analyzing 2D and Doppler echocardiogram images, this AI-powered echocardiography tool provides comprehensive cardiac measurements aligned with international guidelines, streamlining workflows and enabling early diagnosis of heart failure. The solution has unlocked the opportunity for new clinical pathways, extending echocardiography interpretation to primary care settings and even patient home monitoring. It has proven its utility in supporting primary care nurses in identifying patients at risk of heart failure. Successfully deployed at HXIS and showcased at HealthX Startup Day 2023, Us2.ai is advancing to its next stage of discussions for adoption with respective healthcare entities. 

2. FathomX’s FXMammo applies AI to enhance and reduce cost mammograph2. y screening, increasing adoption and improving early screening for the number one cancer among women. The aim was to deploy the FXMammo solution in HXIS to showcase on the HCC environment. FathomX had successfully completed the solution deployment in HXIS and demonstrated the AI echo copilot solution at the HealthX Startup Day 2023.  

3. iota medtech – iScreen project was hosted at HXIS to allow for testing of iScreen ICH AI model, an AI powered image processing model for the detection and classification of intracranial hemorrhage (ICH). iota medtech successfully met the project exit criteria and is currently being adopted by Singapore General Hospital (SGH). The team is also working with SingHealth to deploy this AI model in AIMSG under the Test-bedding programme as the next phase.

4. Aevice advanced respiratory care by successfully integrating its cloud-based web application with Singapore’s national Revenue Cycle Management (RCM) API. Although the APIs did not yet allow audio file transfers, the team fully connected their system with both the RCM and Electronic Medical Records (EMR) APIs in a test environment. This achievement proved that early-stage digital health solutions can securely connect to national healthcare platforms and scale within Singapore’s ecosystem. The project also demonstrated Aevice’s capability to drive remote respiratory monitoring using modern interoperability standards.

5. Axrail helped advance healthcare workforce planning by piloting a new data platform for National Health Group’s (NGH) HQ’s residency programmes. The platform brought together data from different sources and displayed it in interactive dashboards and long-term analytics, making it easier to track trends in applications, enrolment, and programme quality. After testing the platform with NHGHQ’s technology team, Axrail demonstrated that modern data tools and visual analytics can improve manpower planning and support continuous improvements. The pilot clearly showed how cloud-based data platforms can modernize decision-making for healthcare administration and operations.

6. As part of SingHealth’s GenAIus Challenge, AWS built an automation engine to make it easier to update patients’ next of kin during hospital stays. Rather than relying on face to face meetings or phone calls, the system automatically sent important updates such as ward transfers, completed procedures, and caregiver availability directly to families. Clinicians reviewed each message to ensure accuracy and safety. After successful testing, the project demonstrated that generative AI and automation can improve communication, increase transparency, and reduce administrative tasks in acute care settings.

7. CareCam’s 3DGait project made rehabilitation monitoring clearer by using AI-powered 3D gait analysis to track stroke patients’ recovery. The team worked with Tan Tock Seng Hospital (TTSH) to test and confirm the technology’s readiness for integration. They are now planning for possible use at TTSH. The project showed that AI and biomechanical modelling can precisely track rehabilitation progress, allowing clinicians to detect small improvements in patients’ gait that previously required specialized assessments. 3DGait highlights how AI can provide new insights into clinical recovery.

X

By continuing to use and navigate this website, you consent to the use of cookies in accordance with our Privacy Policy.

Confirm