Cloud native application development. Integration services. Identity Authentication. Data Persistence. Business Services. Containerisation. CI/CD
A leading neuroscience technology company optimising brain health assessments to advance the development of new medicines and to enable earlier clinical insights in healthcare. 80% of their focus is on Alzheimer's disease and helping pharmaceutical companies find drugs that can help people suffering from such a crippling disease.
They continue to innovate their consultative services by further enhancing their technologies to provide rapid, reliable and highly sensitive computerised cognitive tests and support electronic clinical outcome assessment (eCOA) solutions and replace costly and error-prone paper assessments with real-time data capture.
The customer’s process existed to help better understand and improve treatment of neurological disorders, measuring cognitive decline as part of world-leading clinical trial studies by ensuring the highest levels of performance by the people carrying out and capturing data consistently for these studies which are referred to as raters. This process was largely manual and required team members to use various disparate systems and with multiple handoff points to different users/roles in order to centrally monitor a rater’s performance. This led to inefficiencies and integrity issues in end to end processing which had the potential to compromise brain health outcomes of patients involved in trials. The customer identified the main areas that needed to be addressed:
The Azenix and customer embarked on this 9 month project by breaking the work down into three key iterative phases:
An initial 2 week Discovery phase was undertaken to conduct an in-depth analysis of requirements, user journey mapping workshops, developing UX wireframes, assessment and prioritisation of features in order to provide the customer with high level estimates to feed into the internal business case.
During the MVP phase, the team was focussed on creating a release to support a single study through an automated workflow. The Azenix and customer SMEs worked collaboratively to iterate on requirements to ensure the right outcomes would be delivered.
The release of the MVP into production gave the business confidence that the solution could support key workflows and deliver operational efficiencies through a more streamlined process. It was also an opportunity to gather feedback and prioritise features for the subsequent phase.
The Productionisation phase was focused on supporting more studies. This phase would enable further operational efficiencies, deliver performance improvements and increased support for scalability. There were some additional features to provide greater visualisation of data and progress, improved intelligence around automation, increased auditing and customisation to support new studies of strategic importance to the business.