Cloud data governance and best practices for public healthcare cloud adoption in Asia-Pacific
Joint report from the AWS Institute and A&M
The COVID-19 pandemic has accelerated the adoption of the cloud as a quicker and more cost-effective way of providing healthcare services. Cloud technology has enabled faster innovation without the need for large investments in IT infrastructure and reduced the costs of providing healthcare services. Many cloud service providers operate a pay-as-you-go model, allowing users flexibility to pay only for the resources they need, and offer a wide range of services including infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS).
Cloud service providers have demonstrated their value to healthcare agencies enabling them to collect and process vast amounts of data, quickly develop and scale applications, and reduce the time required to react to a healthcare crisis and coordinate a nationwide response.
In recent years, countries in the Asia Pacific region have drawn up Cloud First Policies and digitalisation strategies involving cloud in the public healthcare sector. Despite this, cloud adoption across public healthcare in the Asia Pacific region remains low and fragmented, particularly in developing countries. Lack of funding, low understanding of data governance, uncertainty on standards required for cloud adoption, and increasing complexity of data protection laws have contributed to slower levels of cloud adoption . Greater coordination across healthcare stakeholder groups is required to avoid piecemeal implementation of digital health initiatives.
In a recent report, jointly published by the AWS Institute and Alvarez & Marsal’s Privacy and Data Compliance team, we explore the best practices around cloud data governance, procurement and framework development, and provide key recommendations around the successful adoption of the cloud in the public healthcare industry in Asia Pacific.
| Download the report here |