Data Quality Assurance Officer (Apprentice)Frimley Health NHS Foundation Trust • Slough, England, United Kingdom
Dieses Stellenangebot ist nicht mehr verfügbar
Data Quality Assurance Officer (Apprentice)
Frimley Health NHS Foundation Trust
- Slough, England, United Kingdom
- Slough, England, United Kingdom
Über
Be Part of Improving Healthcare Through Better Data At Frimley Health NHS Foundation Trust, we understand that accurate, high-quality data is vital to delivering safe, effective patient care. We are seeking a committed and detail-oriented individual to join our Data Quality Assurance Department as a Data Quality Support Officer. This post includes study support towards a Level 4 Data Analyst Apprenticeship (via Multiverse), providing an excellent opportunity for long-term development. Important Information: Sponsorship is not available for this role. This vacancy may close early once a sufficient number of applications have been received. Main duties of the job
This is an exciting opportunity to join a collaborative team dedicated to improving the integrity, completeness, and reliability of clinical and administrative data across the Trust. What We\'re Looking For We are looking for someone who is: Comfortable working with data and has strong IT skills Able to analyse reports and extract actionable insights Organised, self-motivated, and able to manage a busy workload A confident communicator with excellent interpersonal skills Ideally experienced in a healthcare or NHS environment (not essential) Familiar with the National Care Record Summary (NCRS) – desirable but not required Keen to grow professionally while contributing to meaningful improvements in healthcare Working for our organisation
Frimley Health NHS Foundation Trust is committed to being an inclusive and disability confident employer and has been awarded Gold for the Armed Forces Employment Recognition Scheme. We provide first class development opportunities for all staff and have a wide range of professional, management and leadership, and clinical skills training available. We recognise the importance of a healthy work life balance and strive to support flexible working patterns to meet staff needs and service requirements. Detailed Job Description And Main Responsibilities
As part of our Data Quality Initiative, this role supports departments across the Trust in identifying and resolving data issues. You will work with operational teams, advise on best practice, and use data validation tools to analyse and correct errors. You will support a wide range of Trust-wide activities, including: Running and interpreting scheduled reports to address data quality concerns Supporting the implementation and maintenance of the EPIC programme Investigating and resolving duplicated or confused patient records Liaising with colleagues across multiple sites to correct data anomalies Assisting in audits related to Inpatient, Outpatient, and Waiting List data Managing monthly data challenges and national data tracing processes Supporting specialist teams in Cancer and Acute Services with record resolution Maintaining accurate and well-structured spreadsheets Using Trust IT systems confidently and effectively Please read the full Job Description and Person Specification before applying. Person specification
Qualifications
Essential criteria Health Record & Information Management (IHRIM) or equivalent knowledge and experience NVQ level 4 or equivalent knowledge and experience ECDL level or equivalent General good standard of education equivalent to 5 GCSEs including English & Maths Experience Essential criteria In depth knowledge of Patient Administration Systems or equivalent Proven experience of NHS structure and interdependencies Mentoring and training of colleagues and staff Experience of following processes and checking validity of the process and resultant data items Proven knowledge of Information Governance Laws i.e. FOI, Data Protection Act etc. Desirable criteria Knowledge of NHS PAS systems across a range of data sets Knowledge of CRS, NCRS and NHS Data dictionary Experience Essential criteria Proven record working on data quality corrections Frimley Health NHS Foundation Trust is proud of its strong reputation and ambition for the future. We serve a population of over 900,000 people across Berkshire, Hampshire, Surrey and South Buckinghamshire, and remain committed to improving the health and wellbeing of our communities. Our organisational strategy – FHFT 2030 – aims to be the best place to receive care and the best place to work in the NHS. Underpinned by our Trust values – Committed to Excellence, Working Together, Facing the Future – we are creating a culture where our people can thrive and patients always come first. We continue to invest in services and facilities, including the development of a new hospital at Frimley Park, expansion of diagnostics and inpatient capacity, and the transformation of services across our sites. This includes delivering a new £100m Heatherwood Hospital, a £49m Emergency Assessment Centre at Wexham Park, and a £10m maternity services upgrade. We are committed to sustainability and the NHS Net Zero ambition. Our developments are designed to be environmentally responsible, energy efficient, and future-proofed, with on-site renewables and intelligent energy systems. Through our green plan, we embed sustainable practices across care and operations to reduce environmental impact while improving population health. We are focusing on digital innovation and quality improvement. Our electronic patient record (Epic), launched in 2024, enables safer, more connected, and effective care, while giving staff the tools to perform at their best. It supports safe digitised care pathways, time and carbon savings, and high-quality care. All we do is guided by our values, shaping how we care for patients, support colleagues, and build a sustainable future for healthcare together.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.