NHS Data Analysis & Modelling: Key
Concepts & Best Practices
Describe a time you managed a large, complex dataset.—ANSWER--
Managed Harefields Clinical Outcomes dataset for Cardiac and Cardiology
services: Theatre activity, post op outcomes + incident data. Multiple
sources
Careful handling due to patient safety
SQL and Excel to validate record completeness + identify anomolies
Aggregated data for safe reporting in governance meetings
Improved accuracy + reliability of clinical reportings
Reduce rework for clinicians and admin
How would you extract insights from unstructured data (clinic letters)?—
ANSWER--Define the question first
Use NLP for keyword + topic extraction
Cluster themes
,Validate with clinicians to ensure insights are actionable.
How do you ensure dashboards are accessible to clinical and non-
technical audiences?—ANSWER--Understand audience needs + tailor to
them
Use simple visuals, clear definitions
Conduct user testing (small scale)
Focus on clarity and decision support.
Build confidence, create a culture where data is empowering and
accessible
Describe a data-driven project you led end-to-end.—ANSWER--Managed
project to redesign clinical performance
Document stakeholder needs
Mapped existing data flows to understand processes + locate single source
of truth
Extract, Clean, visualise using SQL
Compliant to Trust policies + GDPR
Provide regular progress reports to senior management
© 2026 Copyright. All Rights Reserved. This document is
protected by copyright law, Copyrighted By Brittie Donald
, Reduces billing Errors overall by 86%- Reduced admin's rework
How do you manage competing priorities and deadlines?—ANSWER--
Assess what's in my scope, risk + impact of each request
Prioritise based on impact to stakeholders + patients, urgency
Create timeline to ensure transparency
Offer short term solutions if possible
Describe a time you identified and resolved a data quality issue.—
ANSWER--Identified inconsistencies in outcomes- didn't align with expect
activity levels
Identified record updates and incorrect use of outcome fields caused
duplicated aggregated accounts
Worked with governance teams to confirm definitions
Refined validation checks to flag duplicate/ amended records
Ensured only validated and aggregated figures included in final report.
Final report submitted with improved accuracy + transparency. Reduced
repeat queries from clinical teams
How do you ensure compliance with Information Governance?—ANSWER--
Follow Trust IG policies + stay up to date
Concepts & Best Practices
Describe a time you managed a large, complex dataset.—ANSWER--
Managed Harefields Clinical Outcomes dataset for Cardiac and Cardiology
services: Theatre activity, post op outcomes + incident data. Multiple
sources
Careful handling due to patient safety
SQL and Excel to validate record completeness + identify anomolies
Aggregated data for safe reporting in governance meetings
Improved accuracy + reliability of clinical reportings
Reduce rework for clinicians and admin
How would you extract insights from unstructured data (clinic letters)?—
ANSWER--Define the question first
Use NLP for keyword + topic extraction
Cluster themes
,Validate with clinicians to ensure insights are actionable.
How do you ensure dashboards are accessible to clinical and non-
technical audiences?—ANSWER--Understand audience needs + tailor to
them
Use simple visuals, clear definitions
Conduct user testing (small scale)
Focus on clarity and decision support.
Build confidence, create a culture where data is empowering and
accessible
Describe a data-driven project you led end-to-end.—ANSWER--Managed
project to redesign clinical performance
Document stakeholder needs
Mapped existing data flows to understand processes + locate single source
of truth
Extract, Clean, visualise using SQL
Compliant to Trust policies + GDPR
Provide regular progress reports to senior management
© 2026 Copyright. All Rights Reserved. This document is
protected by copyright law, Copyrighted By Brittie Donald
, Reduces billing Errors overall by 86%- Reduced admin's rework
How do you manage competing priorities and deadlines?—ANSWER--
Assess what's in my scope, risk + impact of each request
Prioritise based on impact to stakeholders + patients, urgency
Create timeline to ensure transparency
Offer short term solutions if possible
Describe a time you identified and resolved a data quality issue.—
ANSWER--Identified inconsistencies in outcomes- didn't align with expect
activity levels
Identified record updates and incorrect use of outcome fields caused
duplicated aggregated accounts
Worked with governance teams to confirm definitions
Refined validation checks to flag duplicate/ amended records
Ensured only validated and aggregated figures included in final report.
Final report submitted with improved accuracy + transparency. Reduced
repeat queries from clinical teams
How do you ensure compliance with Information Governance?—ANSWER--
Follow Trust IG policies + stay up to date
