Power BI for Health Data Reporting Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Health Information Manager, Clinical Data Analyst and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-HSM-061

Before you join: Participants should already be comfortable working with structured data in Excel, CSV files or SQL-based extracts and should understand basic health-service measures such as activity, attendance, admissions or waiting times.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Health systems hold large volumes of operational, clinical, financial and population-health data, yet decision-makers often receive static reports that arrive late, use inconsistent definitions or cannot be filtered to the level where action is needed. Power BI can turn validated service data into governed dashboards for bed management, waiting lists, readmissions, vaccination coverage, workforce capacity and quality indicators. The challenge is not simply creating charts: it is designing a reliable reporting service with clear metric definitions, appropriate access controls and a maintainable data model.

This course teaches participants to plan, build, publish and manage Power BI reporting for health services. Participants work through reporting requirements, source-data profiling, Power Query transformations, dimensional modelling, DAX measures, clinical indicator specifications and visual design. The course covers common health reporting measures including length of stay, occupancy, readmissions, mortality concepts, utilisation and coverage rates. It also addresses FHIR-connected data, ICD-10 and SNOMED CT mappings, row-level security, privacy controls, gateway refresh, deployment pipelines and report-performance improvement.

Teaching combines concise instructor briefings with health-service cases, guided build activities, peer review and structured application planning. Participants use realistic reporting scenarios such as an acute hospital patient-flow dashboard, a community immunisation report and an executive quality scorecard. They leave with a reusable Power BI health reporting implementation pack containing a reporting requirements template, dimensional model, KPI catalogue, governance checklist and personal application plan. The course is suited to teams seeking to move from spreadsheet-led reporting to controlled, reusable dashboards that support operational and clinical decisions.

What you will be able to do

  • Define health reporting requirements using stakeholder maps, RACI roles and MoSCoW priorities
  • Profile clinical and operational data sources for quality, grain, identifiers and terminology mappings
  • Build star-schema Power BI data models for encounters, patients, providers and calendar dimensions
  • Create DAX measures for health activity, utilisation, quality and population-based indicators
  • Specify and validate clinical KPIs using numerator, denominator, exclusion and attribution rules
  • Design accessible dashboards using visual hierarchy, drillthrough and statistical process control charts
  • Configure governed publication using workspaces, row-level security, deployment pipelines and refresh procedures
  • Produce a health reporting roadmap with KPI ownership, testing, adoption and governance actions

Benefits of attending

For you

  • Build publishable dashboards for patient flow, quality and population-health reporting
  • Write DAX measures that reconcile with approved operational and clinical figures
  • Translate clinical KPI definitions into reproducible Power BI calculations
  • Apply privacy, access-control and governance practices to sensitive health reports
  • Present a practical reporting implementation plan to data, clinical and operational stakeholders

For your organisation

  • Reduces manual spreadsheet consolidation for recurring health performance reports
  • Improves consistency of KPI definitions across clinical, operational and executive reporting
  • Provides controlled access to facility, specialty and patient-cohort information
  • Shortens the route from source-data refresh to decision-ready dashboards
  • Creates reusable governance artefacts for future Power BI reporting releases

Course modules

10 modules over 5 days

Participants can define a governed Power BI reporting scope aligned to health-service decisions.

  • Health-system reporting decisions mapped to operational, clinical and population health questions
  • Stakeholder requirements translated into report purpose, users, refresh frequency and actions
  • Kimball bus matrix linking facts, dimensions, source systems and reporting priorities
  • Data governance roles defined through RACI, data-owner and steward accountabilities
  • Clinical reporting boundaries set using minimum necessary access principles
  • Implementation backlog prioritised with MoSCoW criteria, dependencies and acceptance criteria

Participants can prepare health data for reporting while identifying quality and privacy issues.

  • Source profiling identifies grain, keys, null patterns and late-arriving records
  • Power Query dataflows connect CSV, Excel, SQL Server and FHIR endpoints
  • Query folding assessed before transformation steps affect gateway refresh performance
  • Data quality rules flag duplicate encounters, invalid dates and missing identifiers
  • Terminology mappings reconcile ICD-10, SNOMED CT and local service codes
  • De-identification techniques remove direct identifiers before non-production report development

Participants can construct a dimensional model that supports consistent health reporting measures.

  • Star schema separates encounter facts from patient, provider and calendar dimensions
  • Grain statements prevent mixed aggregation between admissions, appointments and observations
  • Conformed dimensions align facility, specialty and geography across reporting domains
  • Role-playing date tables support admission, discharge, referral and appointment analysis
  • Many-to-many relationships controlled through bridge tables and filter-direction decisions
  • Model documentation records source lineage, business definitions and refresh ownership

Participants can create and validate DAX measures for operational and clinical performance reporting.

  • Explicit measures calculate counts, rates, averages and distinct patient populations
  • CALCULATE and filter context produce period-specific clinical performance measures
  • Time-intelligence patterns compare month-to-date, year-to-date and prior-period results
  • DIVIDE handles zero denominators in mortality, readmission and utilisation rates
  • Variables and measure branching improve DAX readability, testing and reuse
  • Validation reconciles DAX results against approved extracts and manual calculations

Participants can specify health indicators with defensible rules and appropriate interpretation guidance.

  • Indicator specifications define numerator, denominator, exclusions, source and reporting cadence
  • Hospital Standardised Mortality Ratio concepts distinguish observed and expected deaths
  • 30-day readmission measures apply index admission, exclusion and attribution rules
  • Bed occupancy and length-of-stay metrics expose patient-flow constraints
  • Vaccination coverage denominators distinguish eligible populations from administered doses
  • Statistical process control charts separate common-cause and special-cause variation

Participants can design accessible Power BI reports that support decisions at different service levels.

  • Report page architecture aligns executive, service-line and ward-level decisions
  • Gestalt principles organise KPI cards, trends, comparisons and explanatory detail
  • Run charts and funnel plots communicate variation without misleading comparisons
  • Drillthrough paths connect summary indicators to facility, specialty and cohort detail
  • Accessible design applies colour contrast, alt text, titles and keyboard order
  • Tooltip pages explain definitions, targets, exceptions and data-refresh status

Participants can apply access controls and privacy safeguards to Power BI health reports.

  • Row-level security restricts facility and service views through user mappings
  • Object-level security protects sensitive tables, columns and measure visibility
  • Microsoft Entra ID groups support controlled report access and membership reviews
  • Data classification labels distinguish public, internal, confidential and restricted health information
  • Privacy impact assessment identifies disclosure risks from small-cell reporting
  • Audit logs support access investigations, governance review and incident response

Participants can publish and maintain Power BI reports through controlled release processes.

  • Workspace architecture separates development, test and production report assets
  • Deployment pipelines promote validated content through controlled release stages
  • On-premises data gateway configuration supports scheduled refresh from clinical systems
  • Incremental refresh partitions high-volume encounter data by defined retention periods
  • Refresh failure procedures assign triage, correction, communication and escalation actions
  • App audiences publish tailored content without exposing unfinished workspace materials

Participants can test report quality, improve performance and support sustained user adoption.

  • Performance Analyzer identifies slow visuals, DAX queries and rendering bottlenecks
  • Model optimisation reduces cardinality, unused columns and inefficient relationships
  • Usage metrics identify dormant reports, popular pages and search behaviour
  • User acceptance testing traces requirements to test cases and sign-off evidence
  • Release notes document metric changes, known limitations and affected audiences
  • Training materials pair report tasks with interpretation cautions and escalation routes

Participants can prepare a practical roadmap for improving Power BI health reporting.

  • Health reporting roadmap sequences priority dashboards, dependencies, owners and milestones
  • KPI catalogue records definitions, targets, lineage, refresh cadence and accountable owners
  • Governance cadence schedules metric review, access recertification and change approval
  • Benefits measures track reporting timeliness, adoption, data errors and decision use
  • Risk register addresses privacy, data quality, capacity and supplier dependencies
  • Personal application plan commits first report improvements, stakeholders and review dates

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Health reporting requirements template
  2. Power BI dimensional model blueprint
  3. Clinical KPI specification catalogue
  4. Dashboard design and accessibility checklist
  5. Power BI security and publication checklist
  6. Health reporting implementation roadmap

Who should attend

  • Health Information Manager — needs governed reporting definitions and reliable service dashboards
  • Clinical Data Analyst — builds measures and reports from clinical and activity data
  • Business Intelligence Analyst — implements Power BI models, reports and controlled publication processes
  • Quality Improvement Manager — monitors safety, outcome and variation measures for improvement work
  • Health Service Operations Manager — needs timely visibility of capacity, flow and performance indicators
  • Digital Health Project Manager — coordinates reporting requirements, releases and stakeholder adoption

Skills and tools covered

Health data modellingDAX measure designClinical KPI specificationDashboard visual designReporting governancePower BI deployment

Tools and standards

Power BI Desktop, Power BI Service, Power Query, DAX

How the course runs

Training methodology

The course uses short technical briefings followed by health reporting cases, guided report-building tasks, group design reviews and structured troubleshooting. Participants analyse representative encounter, appointment, quality and population-health datasets, then apply Power Query, data-modelling and DAX techniques. Small-group discussions examine metric definitions, privacy risks, access decisions and dashboard interpretation. Instructor demonstrations show publication, refresh and security configuration. Application planning sessions help participants adapt the methods to their own reporting priorities, data sources and governance arrangements.

Requirements and prerequisites

Participants should already be comfortable working with structured data in Excel, CSV files or SQL-based extracts and should understand basic health-service measures such as activity, attendance, admissions or waiting times. Previous experience creating simple Power BI reports is helpful, including loading data and using basic visuals. Participants should be able to interpret tables, percentages and rates. Prior DAX expertise, database administration, programming, advanced statistics or clinical qualifications are not required. The course explains health-specific modelling, governance and deployment methods from an implementation perspective.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should have used structured data and ideally created simple Power BI reports or Excel analyses. The course introduces the required modelling and DAX patterns, but it moves beyond basic chart creation.

Bring a laptop capable of running Power BI Desktop if attending in person, plus any approved non-sensitive examples of your reporting requirements. Do not bring patient-identifiable data, restricted extracts or credentials for live production systems.

It is designed for health information, business intelligence, quality, operational and digital-health professionals responsible for reporting. It is also suitable for managers who need to specify, review or govern Power BI reporting work.

The course uses health-service reporting patterns rather than generic sales or finance examples. It addresses clinical indicators, data terminology, patient privacy, small-cell disclosure risk, controlled access and health reporting governance.

Participants can apply the templates to a current dashboard, such as patient flow, waiting lists, quality indicators or immunisation coverage. The implementation roadmap helps identify the first report, source-data issues, owners and approval steps.

The programme contains ten modules, each lasting about three contact hours, across five 08:30-16:30 training days. Time is divided between instruction, guided builds, case analysis, group review and application planning, with normal breaks included.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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