Managing Your Healthcare Data Lifecycle in the Cloud
Data is transforming healthcare as we know it. The ability to ingest, synthesise and analyse data, and use it to solve real-world problems and drive organisational value, is at the heart of this turbulence.
Healthcare organisations understand they need a strategic approach to manage and protect the data lifecycle to thrive. Providers must deliver care faster, better and within a framework of rigorous quality, compliance, and cost containment guidelines. Drug and medical device makers are under pressure to deliver critical therapies quickly while ensuring safety, efficacy, and affordability. The question is no longer whether big data and analytics impact outcomes, but where and how.
- What are leaders in the healthcare industry currently doing to protect their data?
- Are healthcare organisations using data in their response to COVID-19? How?
- Are the healthcare organisations in Singapore doing a good job in aggregating all transactional and operational data (EMR, Pharmacy and Lab Systems) – along with streaming and real-time data into one Data Lake or DW? Are they running Advanced Analytics to drive better health outcomes?