Congratulations to our NUHS teams for bringing home the Excellence Award in two categories!
The Asian Hospital Management Awards is a prestigious award that recognises and honours hospitals across the Asia-Pacific for excellence in managing hospitals and healthcare transformation. The winners were announced at the Hospital Management Asia Conference (virtual) held from 14 to 16 September 2021. This year's theme was "Reimagining Healthcare in the New Normal Through Innovations".
Financial Improvement
Project - VDO Project to Reduce Length of Stay (LOS) for Transcathether Aortic Valve Implantation (TAVI)
Using a Rapid Improvement Event (RIE) model to evaluate the issues, the team outlined interventions to streamline admission, early identification for post-surgery rehabilitation, check lists, fast-tacking for step down, and frailty assessment. The number of patients with LOS ≤7 days increased from 10% pre-RIE to 50% by February 2017 and increased to 71% in 2019. It was at 100% for consecutive months (May to July 2020). The mean cost per patient was reduced by 40% by 2020 from 2017.
Team
Cardiac, Thoracic & Vascular (CTVS) Surgery, Ward 7A, Ward 20, Ward 63, Ward 64, Clinical Support Services, Vascular Diagnostic Centre, Ops and Administration (National University Heart Centre, Singapore), Quality Improvement
Led by
Dr Ivandito Kuntjoro, Consultant (Cardiac) and Vikneswary D/O Murugiah, Nurse Manager (Ward 64)
Most Advanced Healthcare Technology
Project - Discovery AI (DAI) Platform for NUHS Cluster-wide Research
Launched in 2018, the DAI platform facilitates the hosting of secured centralised databases in accordance to MOH standards. DAI hosts a number of AI tools, including diagnosis prediction, disease progression and image analysis tools. It is also the hosting platform for ATLAS, an open source unified web interface that enables access to de-identified patient data and for aggregate analytics. Such dashboards support research and development by presenting unified data that might otherwise be fragmented and siloed across multiple databases. Researchers may easily query and access cluster-wide data in a secure environment on DAI.
Team
NUHS Group Chief Technology Office
Led by
A/Prof Ngiam Kee Yuan