Data Validation and Quality Assurance

• Lead the validation of Emergency Department (ED) activity data to ensure compliance with Emergency Care Data Set (ECDS) standards, NHS England reporting requirements and Trust policies.
• Review and validate patient records, attendance outcomes, clinical timestamps and activity data to ensure accuracy, consistency and completeness.
• Develop, implement and maintain validation processes, controls and procedures to improve data quality and reporting accuracy.
• Identify, assess and escalate data quality risks, discrepancies and reporting issues as appropriate.
• Provide assurance regarding the integrity of data used for performance reporting, statutory submissions and operational decision-making.

Record Review and Investigation

• Analyse complex patient records and information from multiple systems to establish accurate patient pathways and outcomes.
• Investigate data quality concerns, performance breaches, reporting anomalies and disputed records.
• Interpret and apply national guidance, ECDS definitions and local validation standards to complex and non-routine cases.
• Produce detailed analytical reports, investigations and recommendations to support service improvement and performance management.
• Lead root-cause analysis of recurring data quality and performance issues and oversee corrective actions.

Performance Reporting and Intelligence

• Lead the production, validation and quality assurance of Emergency Department performance reports, including ECDS submissions, SITREP returns and internal reporting requirements.
• Ensure all mandatory submissions are completed accurately and within prescribed deadlines.
• Develop and maintain dashboards, exception reports and performance intelligence tools.
• Monitor performance trends, identify areas of risk and provide expert analysis to support operational and strategic decision-making.
• Present performance information, findings and recommendations to senior managers, governance groups and divisional meetings.

Data Quality Improvement

• Lead the development and implementation of data quality improvement strategies across Emergency Care services.
• Identify opportunities to enhance data collection processes, validation methodologies, reporting arrangements and system functionality.
• Review and update standard operating procedures, policies and working practices relating to validation and performance management.
• Lead and support projects relating to ED performance, ECDS compliance, information quality and service development.
• Work collaboratively with clinical, operational and digital teams to improve recording practices and data quality standards.

Training and Specialist Support

• Act as the Trust's subject matter expert for ED data quality, validation processes and ECDS requirements.
• Provide specialist advice and guidance to clinical, operational and administrative staff.
• Develop and deliver training programmes relating to ED validation, data quality and performance reporting.
• Support staff development by establishing competency frameworks and promoting best practice in data recording and validation.

Governance and Compliance

• Ensure compliance with Information Governance, Data Protection legislation, GDPR, NHS data standards and Trust policies.
• Lead audits relating to data quality, validation processes and performance reporting.
• Prepare assurance reports, action plans and responses to audit findings and identified risks.
• Maintain robust audit trails and documentation for all validation decisions and data amendments.
• Represent the Trust at internal and external meetings relating to Emergency Department performance, validation and data quality.

Professional Accountability

• Work autonomously as the Trust lead for Emergency Department validation and performance assurance.
• Exercise professional judgement when interpreting national guidance, data definitions and performance standards.
• Take responsibility for the quality, accuracy and integrity of information used to support operational, divisional and organisational decision-making.
• Prioritise workload effectively to ensure reporting deadlines, performance requirements and quality standards are consistently achieved.