Wolverhampton patients to benefit from data project success
The Royal Wolverhampton NHS Trust partners with Stalis to bring patient data safely and securely into one consolidated system
The Royal Wolverhampton NHS Trust (RWT) has completed a successful data migration and archive project to centralise patient demographic and scheduling information, helping to deliver more co-ordinated and efficient patient care.
The project, supported by healthcare data specialis, Stalis, included safely and securely transferring patient data from the trust’s community services IT system to its central Patient Administration System (PAS).
This means the trust will be able to build and expand the use of its Clinical Web Portal to consolidate and standardise working practices across the organisation that will support the delivery of clinical information to frontline staff.
Furthermore, reporting systems will now be provided from one data repository, which will drive efficiencies in the provision of information to frontline staff.
Data processing across the project was in line with NHS information governance protocols, and enhanced the delivery of direct care – a key principle of the recent review into patient data by Dame Fiona Caldicott.
The trust took on the community services from Wolverhampton City Primary Care Trust under the Transforming Community Services (TCS) agenda in 2011, but patient information was held in different systems.
Data is an integral part of today’s healthcare providers’ long-term strategies and day-to-day operations to managing patient care efficiently and effectively
In July this year, the iPM system used by the community services came to the end of its contract, providing a natural migration point for the trust.
RWT used Stalis’s robust and secure CareXML platform to match and merge more than 109,000 master patient index (MPI) records that include essential patient demographic information such as name, gender, date of birth, and contact information.
More than 20,000 records and around 5,000 new registrations were created for patients, which were not already in the PAS.
Around 140,000 referrals, as well as other clinical activity data, were transferred across.
The trust is using the CareXML browser, part of the platform, to view a secure and accessible historic archive of non-migrated data.
Using the archive reduced the amount of data that needed to be transferred, and further mitigated potential risks for data handled during the process.
Nick Bruce, associate director of ICT at RWT, said: “It’s critical that patient information is accurate and up-to-date to support hospital processes such as sending appointment letters to patients or notifying their GPs on progress with their care.”
As part of the project, Stalis, which has worked with many NHS trusts to extract, cleanse, transform, and migrate data to and from almost every NHS application, provided a data quality assessment and strategies for cleansing.
Such an approach helps NHS organisations ensure they are processing patient information in a way that has a direct benefit on patient care, and data cannot be mishandled or shared unnecessarily.
It’s critical that patient information is accurate and up-to-date to support hospital processes such as sending appointment letters to patients or notifying their GPs on progress with their care
Andrew Meiner, managing director at Stalis, said: “Data is an integral part of today’s healthcare providers’ long-term strategies and day-to-day operations to managing patients’ care efficiently and effectively.
“RWT took a very prudent approach to managing the transfer of data from one system to another.
“Our experienced team, along with our proven data migration and archiving solutions, helped to reduce risks and improve data quality, giving the trust confidence when moving its data to a new system.”
The trust was able to streamline the procurement process by selecting Stalis’ services through the G-Cloud 7 framework, saving time and cost compared with negotiating and agreeing individual, lengthy, and expensive procurement contracts.
