There are now 99 separate tissue collections being managed by Achiever as “projects” across LTHT, 45 of which are static historical records and the remaining 54 are active. There is also a very large number of separate storage locations being managed.
Data was imported into Achiever using standardised import templates and guidance provided on data formatting and processing. The team were trained in suitably sized groups as close to go-live as logistically possible to maintain the learning and best prepare the users.
Small team-specific configuration elements were applied to support user buy-in as each team was used to having autonomy in its data handling. Careful application of customisation allowed the standard institute-wide compliance and tracking benefits to be rolled out smoothly across some very disparate working environments.
The identity of sample donors was to be protected with no patient identifiable data allowed. Achiever’s secure encryption capabilities were used, which encrypt all sensitive data as it is saved in the database protecting data from research staff and even the database administrators. Donor names are only visible to the authorised users and overseen and managed by the ethics committee responsible for each project.
The quality of the donor, informed consent, storage and tissue viability data greatly increased the value of the tissues to researchers. Once cleansed, the storage management capabilities helped to increase levels of utilisation thereby reducing overhead costs per sample.
Donor clinical profile information associated with the Samples is also held in the allowing researchers to search for tissue samples from specific cohorts of donor with further filtering available by the level of consent given by the donors. This level of search capability allows the teams to service very specialist research requests, thereby increasing the value of each team’s tissue inventory.
Integration was completed to link the established in-house informed consent logging system with Achiever to support the nurses taking consent in the hospital clinics. This integration reduced the clinic nurses’ workloads, eliminated duplication of data entry and maximised data quality whilst working within the IT and legislative constraints imposed by the disparate working environments.