As the NHS accelerates its digital transformation agenda, the shift toward Electronic Patient Record (EPR) systems has been championed as the cornerstone of modernised care. However, a stark analysis by healthcare data specialists MBI Health reveals a troubling fiscal and operational reality: the "hidden" cost of fixing data errors following the implementation of these systems could reach upwards of £13.5 million across English NHS trusts in 2026 alone.
This figure, while significant in its own right, represents only the tip of the iceberg, excluding the broader, more nebulous costs of lost productivity, staff burnout, and the potential for clinical safety incidents. As nine major acute trusts prepare for EPR transitions in 2026, the sector is being forced to confront a sobering question: is the NHS prioritising technical go-live dates over the foundational data integrity required to make those systems work?
The Financial Burden: Quantifying the Data Crisis
The £13.5 million estimate is calculated on the assumption that each of the nine scheduled EPR transitions will incur roughly £1.5 million in direct remediation costs. This capital is not being spent on innovation or patient care improvements; it is being diverted to "clean up" the mess left behind by suboptimal data migration and system configuration.
Where the Money Goes
The costs identified by MBI Health focus on the immediate, technical necessities required to stabilise hospital operations:
- Waiting List Stabilisation: Reconciling fragmented patient tracking lists (PTLs).
- Pathway Validation: Ensuring that the digital journey of a patient—from referral to treatment—remains uninterrupted during the migration.
- Reporting Integrity: Restoring the ability of trust boards to accurately report on performance metrics.
To put these costs into perspective, the financial drain is equivalent to the funding required for 420 newly qualified nurses or 280 highly qualified nursing specialists. In a healthcare system already straining under the weight of elective care backlogs, the loss of 27,950 hospital bed days—the functional equivalent of the remediation spend—highlights the opportunity cost of failing to get digital implementation right the first time.
Chronology: The Lifecycle of an EPR Implementation Risk
The journey of an EPR implementation is often viewed through the lens of a "go-live" milestone. However, industry experts argue that the risks associated with data quality are systemic and occur across a predictable, yet often mismanaged, timeline.
Phase 1: Pre-Implementation (The Planning Gap)
Often, the procurement and design phase focuses on the features of the software rather than the quality of the data being migrated. Decisions are made regarding workflows that may not align with the historical data structures of the legacy systems, leading to immediate "data friction" upon launch.
Phase 2: The Transition (The "Go-Live" Shock)
Upon transition, trusts frequently experience a "data inflation" effect. MBI Health’s analysis suggests that PTLs can increase by as much as 25% in the immediate aftermath of a go-live. This spike is rarely due to an influx of new patients, but rather the surfacing of duplicated, incomplete, or corrupted records that were previously obscured in legacy systems.
Phase 3: Post-Implementation (The Remediation Phase)
This is the period where the £13.5 million is spent. It is a reactive phase characterized by emergency data scrubbing, manual re-entry of patient details, and a high-stress environment for clinical staff who must navigate a system that does not yet reflect the reality of their patients’ needs.
Expert Perspectives: A Call for Strategic Inclusion
Dr. Marc Farr, chair of the NHS Chief Data and Analytical Officer Network, offers a scathing critique of the current approach to digital transformation. According to Dr. Farr, the problem is one of hierarchy and timing.
"Too often, data experts are brought in too late in EPR programmes, when key decisions have already been made," he observes. "If we want these transformations to succeed, data and analytics leaders need to be at the table from the outset, shaping how systems are designed, implemented, and data assured."
Dr. Farr emphasises that an EPR is not merely a software procurement exercise; it is a fundamental restructuring of how a hospital functions. When that structure is built on a shaky foundation of poor data, the cracks inevitably appear. The result is a cycle of delayed benefits and immense pressure on frontline teams who are forced to compensate for the software’s shortcomings with manual workarounds.
Operational Risks: Beyond the Balance Sheet
While the £13.5 million is a quantifiable financial figure, the operational consequences are far more difficult to measure and potentially more damaging to patient health.
The PTL Instability
Patient Tracking Lists (PTLs) serve as the pulse of a hospital’s elective care strategy. When data migration results in duplicated records or broken referral pathways, the trust loses its "single source of truth." Clinicians may find themselves looking at a screen that tells them a patient has been seen, while the patient is actually languishing on a forgotten list. This disruption makes it nearly impossible for management to accurately report on Referral to Treatment (RTT) times, complicating the national effort to recover elective care services.
The Patient Safety Dimension
The Health Services Safety Investigations Body (HSSIB) has underscored the gravity of these transitions. In a recent review, the body highlighted that EPR programmes can directly contribute to missed or delayed care.
Helen Hughes, chief executive at Patient Safety Learning, notes: "Reliable patient records are fundamental to safe care. Investigations into EPR-related incidents have shown that these risks can contribute to situations where patients fall through the cracks, receive the wrong treatment, or come to harm in other ways."
When a system lacks data integrity, the risk profile of the hospital changes. The "human-in-the-loop" safeguards that typically prevent medical errors are undermined when the digital tools used to guide those decisions provide inaccurate information.
Official Responses and the Path Forward
NHS England remains optimistic about the long-term potential of EPR systems, despite the challenges identified by MBI Health. A spokesperson for NHS England told Digital Health News: "While electronic patient record systems can have huge benefits, it is really important that trusts prepare well for implementation to maximise these. These systems should provide significant savings for taxpayers over the next decade following the initial investment."
This sentiment suggests that NHS leadership views the current costs as a necessary "teething period." However, critics argue that these teething pains are not inevitable—they are the result of poor preparation and a lack of data-centric leadership in the early stages of procurement.
Recommendations for Improvement
To avoid the projected £13.5 million expenditure in 2026, experts suggest several strategic pivots:
- Data-First Design: Prioritise data cleansing before the procurement of a new system begins. Legacy data must be audited and, where necessary, retired or purged before migration.
- Early Engagement: Data and analytical officers must be involved at the executive level, not just the technical level, from the moment a trust decides to move to a new EPR.
- Governance of Quality: Establish a "data integrity" governance committee that has the authority to pause or delay a go-live if pre-defined data quality metrics are not met.
- Training as a Strategy: Move beyond simple "usability" training to include comprehensive education on data entry standards and the clinical impact of bad data.
Conclusion: The Value of Readiness
The transition to digital health records is an unavoidable and vital component of the NHS’s future. However, as the evidence from MBI Health clearly demonstrates, the current path is laden with preventable costs and risks. The £13.5 million projected for 2026 is not just a figure; it is a symbol of the friction created when technology is deployed ahead of the information architecture required to sustain it.
For the NHS to realise the promised efficiency savings and, more importantly, to ensure patient safety, the focus must shift from the "go-live" event to the "data-readiness" foundation. By valuing data integrity as highly as software functionality, the health service can avoid the costly cycle of remediation and ensure that its digital future is built on a foundation of reliability and trust. The cost of getting it wrong is high, but the cost of ignoring the data is far higher—measured not in pounds, but in patient outcomes.
