SingHealth Impact Report 2024/25

Stories that define us

Deepening the clinician-patient connection with technology

The last five years of SingHealth’s journey could be likened to a “digital growth spurt” with one clear goal in mind: helping our doctors and nurses spend more quality time with patients.

Our commitment to enhancing care outcomes and patient experience has led us to explore and pilot new technology to support our patients. Here’s a snapshot of how we are using digital solutions to make a meaningful difference:

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Image courtesy of The Straits Times

2011

Our AI-powered SELENA+ software now delivers eye scan results in just minutes instead of days, allowing doctors to discuss treatment options for threatening eye conditions immediately and ease patient’s concerns sooner.

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2021-2025

We inked Memorandums of Understanding with three leading organisations - SG Innovate (2021), AI Singapore (2023) and Philips (2025) – to advance technology use in healthcare. These collaborations range from improving diagnosis and treatment through AI, enhancing AI training in healthcare, and streamlining clinical decision-making.

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2022-2023

Through Mobile Inpatient Care-at-Home (MIC@Home), patients can recover comfortably at home while staying connected to care teams through round-the-clock teleconsults and home visits.

2023

4-Dimensional Disease Outbreak Surveillance System (4D-DOS) uses digital-twin technology to monitor, analyse, predict, and simulate disease outbreaks and beyond in real-time.

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2023-2024

We have created innovation spaces, the Alice Lee Innovation Centre of Excellence @ Singapore General Hospital (SGH), Changi General Hospital (CGH) and KK Women's and Children's Hospital (KKH) Campus, where commercial partners and clinical experts collaborate to develop and implement medical technology and digital healthcare solutions.

2024

Note Buddy, our real-time transcription tool, captures and summarises clinical notes, freeing healthcare professionals to focus on meaningful interactions with patients.

Our doctors can now better assess surgery suitability by analysing patients’ existing clinical history to predict potential post-operation complications using the Combined Assessment of Risk Encountered in Surgery-Machine Learning (CARES-ML).

These efforts are also part of SingHealth’s broader vision to reshape healthcare delivery – one that transcends the physical boundaries of our institutions, enabling patients to receive the care they need right in the community.

For more digital initiatives, check out the video.

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