A small team of clinicians and data scientists wanted to make UK NHS hospitals more efficient with Tableau visuals—so they partnered with OSO’s cloud architecture and big data experts
months to be GPG 13 compliant
minutes MTTR for Tableau Server redacted to
day to onboard new NHS sites, taking hours rather than days
24 September 20216 mins read
When OSO stepped in, we got our AWS strategy done better, faster, and with more depth and breadth than we could have ever done on our own.
Redesigned 33N’s systems to create GPG13-compliant cloud architecture
Migrated data to Amazon’s AWS Relational Database Service (RDS)
Integrated Epic and Tableau to provide real-time NHS data visuals
Healthcare isn’t immune to innovation.
This year, 33N—a small team of clinicians and data scientists—wanted to change workflow modeling inside UK hospitals. With OSO’s help, it created a product that transforms NHS Hospital Episode Data (HES) into clear, coherent, and accessible visuals.
According to the NHS, HES data helps hospitals:
Monitor critical trends and patterns in data
Plan their services for the future
Assess the quality of hospital care
Cheers for automated Tableau deployment! With careful iteration and implementation, we provided 33N with a tool that will make it easier for hospitals to identify inefficient systems, shorten waiting times, and improve the quality of care for sick patients.
Collects HES data, refines and cleans datasets, provides visuals, and equips healthcare workers with a tool to improve how they interact with patients.
Develops plans to improve hospital systems
Defines the scope of the problem, establishes hospital baselines, links datasets for insights, models data, and improves operational efficiency.
OSO loved 33N’s mission, so we partnered up to help them use big data sources and cloud architecture. We redesigned 33N’s architecture, integrated visual data platform Tableau and NHS’s e-record system Epic, and made it possible for clinicians to visualise HES data in real time. Here’s how we started using Tableau.
The Challenge ❌
When a child, parent, or partner is sick or injured, nothing’s more important than getting them the best care in the world.
To start fixing this problem, 33N’s team wanted to introduce machine learning to deliver safe, effective improvements for patients and staff across a range of hospitals. A Tableau server was the natural answer, but 33N’s team lacked cloud architecture and big data expertise—in short, they had no way to implement their vision.
The Solution 😊
First, OSO assessed 33N’s existing AWS architecture based on the five pillars of Amazon’s Well Architected Framework: operations, security, reliability, performance, and cost (StormForge, 2021). What could we create that would help them improve their configuration?
Right away, we determined that 33N needed Amazon EC2, AWS ALB, and Auto Scaling to make its systems more resilient and help balance its application load.
We wanted to establish a repeatable and scalable blueprint for deploying Server at scale in AWS. To achieve that blueprint, OSO provided 33N with a framework of repeatable infrastructure that could be modified to meet top-notch security protocols.
33N wanted a Tableau Server environment that ran on AWS. However, they also wanted 33N’s enterprise active directory involved so that they could have better user access and integrate it with existing data sources.
We proposed a solution that ensured that 33N’s platform’s quality and efficiency would be monitored, scalable, and secure, serving as a blueprint for their subsequent Tableau deployments on AWS.
To do so, we productionised each bit of 33N’s architecture for redundancy and high-availability.
We applied best practices for backup and restore, meeting the RPO and RTO requirements.
What’s more, we provided a consistent approach for other teams to make use of the Tableau solution. We wanted 33N to be able to take a self-service approach and feel confident about their AWS solution.
Finally, OSO provided the 33N Cloud Platform team with a highly-scalable, secure, fully-automated, cloud-native Tableau deployment on AWS.
Our Tableau Deployment Library offered 33N’s developers an easy-to-use experience, while empowering data teams with the autonomy and control they needed to make sure their models were accurate.
In addition, we made the source code available so that 33N’s developers could debug, customise, and modify the solution to fit their future needs.
Simply put, we provided 33N with a copy of our Tableau Deployment Library—plus, we worked with them to establish added features!
Amazon RDS – Set up and scabale a cloud multi-region encryptedMySQL database, making it easy for 33N to scale its visualisations as needed, provide ultra-fast service, and ensure its applications stored data in a stable and constantly-accessible form.
Amazon Elastic Compute Cloud (EC2), Application Load Balancer (ALB), and Autoscale – Provided secure, easy, web-scale cloud computing, helped balance loads across multiple servers, and ensured thatAuto Scaling AWS would automatically adjust compute resources to keep 33N’s apps running smoothly.
HashiCorp Terraform – Automated 33N’s AWS infrastructure, including its applications, network, and security definitions.Provided re-use and automated pipelines to deploy infrastructure.
Amazon Route 53– Easily routed the clinic end user(s) to 33N’s web applications to (a) connect their requests to 33N’s new AWS infrastructure and (b) manage top-level domains and subdomains.
Data Storage and Security
Amazon Simple Storage Service (S3) – Uploaded 33N’s static content (images, stylesheets, artefacts, and configurations) into an S3 bucket, helping 33N perform secure batch processing.
Amazon Key Management Service– Added the ability for hospitals to create and manage cryptographic keys with EBS root volume encryption. GPG13 compliance!
Compliance and Risk
AWS CloudTrail – Allowed 33N to perform operational audits, log, and monitor across its entire AWS infrastructure, providing a good digital trail in case anything went awry.
Amazon CloudWatch– Provided 33N with a single overview of its AWS logs, metrics, and applications for easier testing, risk analysis, and security alerts.
Accessible Data Visualisation
Tableau Server – Provided the end user(s)—clinicians and frontline healthcare workers—with streamlined, targeted data visuals to help them iterate and improve their systems.
The Result 🎉
Now, the team at 33N has a modern, cloud-native platform that can grow as their operations expand, fully equipped with AWS automation and analytics.
The portal is secure—only valid employees, support staff, and contractors have access to its data—and infinitely scalable for the future.
In addition, OSO provided extra AWS tools so that 33N can detect network intrusions, scan for vulnerabilities, and rely on trusted data backup. The result? The team at 33N can now focus on their mission, confident that data sources and systems will run smoothly regardless of scale.
Together, we integrated NHS patient data with Tableau, creating custom dashboards that doctors could access, query, and filter on-demand.
‘When OSO stepped in, we got our AWS strategy done better, faster, and with more depth and breadth than we could have ever done on our own’, says Kavin Abelak, Co-founder and CTO of 33N.
Thanks Kavin! We loved collaborating on Tableau content and use cases. Keep up the critical work.
To learn more about AWS consulting and deployment of Tableau server environments, check out our services here.
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