Power BI for NHS Healthcare Intelligence
Audience: NHS analysts, BI developers, transformation leads, clinicians working in informatics
Format: 5 modules + quizzes + optional project & certification
Goal: Build the skills to create impactful, safe, and actionable dashboards and reports using NHS datasets.
Module 1: Introduction to Power BI in the NHS
Objective: Understand Power BI's role in NHS digital transformation and healthcare intelligence.
What is Power BI? Desktop vs. Service vs. Mobile
How NHS trusts and ICSs use Power BI (case examples)
Power BI’s place in the NHS toolchain (compared to QlikView, Tableau, Excel)
Overview of a healthcare dashboard lifecycle
Common NHS report consumers: execs, ops, clinical leads, BI teams
NHS Examples:
Daily COVID sitrep dashboards
Elective care backlog reporting
Friends & Family Test dashboards
Outcomes:
Navigate Power BI interface
Understand licensing and NHS Information Governance implications
Know where Power BI fits in modern NHS data flows
Module 2: Connecting to and Transforming NHS Data
Objective: Learn how to access, clean, and model NHS data sources using Power BI’s Query Editor (Power Query).
Topics Covered:
Importing from CSV, SQL Server, NHS Digital APIs, Excel
Using NHS SUS/HES extracts in Power BI
Handling common data quality issues (nulls, outliers, type mismatches)
Column transformation, merging tables, and normalising codes (e.g. GP Practice, Trust codes)
NHS-safe date handling and pseudonymisation
NHS Examples:
Cleaning RTT pathway data
Combining A&E, admissions and discharge records
Joining GP Practice data with demographic lookup tables
Outcomes:
Build structured Power Query data pipelines
Ensure data is IG-safe for internal reporting
Prepare data for effective analysis without SQL
Module 3: Data Modelling & DAX for Healthcare KPIs
Objective: Learn how to create effective data models and write DAX formulas for advanced healthcare metrics.
Topics Covered:
Star schema vs. snowflake for NHS datasets
Relationships, cardinality and filter context
Measures vs. calculated columns
Writing DAX for:
Time intelligence in NHS: fiscal year weeks, rolling 13-week averages
NHS Examples:
Calculating LOS (Length of Stay) across departments
DAX for RTT waiting time bands
Trends in admissions across time
Outcomes:
Build robust NHS healthcare models
Write custom DAX measures with confidence
Handle “week-ending” dates and episode-based measures
📊 Module 4: Building Dashboards & Reports for Clinical & Operational Use
Objective: Design effective dashboards for different NHS audiences — focusing on insight, safety, and action.
Topics Covered:
Choosing the right visual for the story
Layouts for exec dashboards vs. ward-level tools
Using filters, slicers, bookmarks, and drill-throughs
Data literacy principles for non-analyst staff
Accessibility (WCAG 2.1), colour-blind safety, NHS branding
NHS Examples:
Patient Flow dashboard (A&E → Admissions → Discharge)
Outpatient clinic performance dashboard
Safety incidents visualised by site, type, and harm level
Outcomes:
Build Power BI reports that are intuitive, safe, and insightful
Communicate complex data to clinical and exec audiences
Support operational decision-making through self-service tools
Module 5: Publishing, Automation & Governance in NHS Power BI
Objective: Learn to publish, share, automate, and govern Power BI solutions in line with NHS standards.
Topics Covered:
Power BI Service: workspaces, apps, deployment pipelines
NHS IG and data security considerations
Row-Level Security (RLS) by site, user, or role
Scheduled refreshes with NHS N365 tenant and gateway setup
Governance models: Centre of Excellence, usage monitoring, support channels
NHS Examples:
Setting up a dashboard for multi-site Trusts with RLS
Publishing a monthly ICS-wide elective care tracker
Usage tracking and report lifecycle management
Outcomes:
Publish and secure Power BI apps for Trusts/ICS
Automate NHS data refreshes with compliance
Apply governance to scale analytics safely across the NHS