Business, Commerce and Management Studies Finance, Economics and Accounting

South African Healthcare Sector Data Investigation Training

SAQA US 242575 | NQF 5 | Credits 8 | Duration 5 Days
From $1,242 per delegate

Description

This course equips learners with the skills to conduct a comprehensive investigation into the South African healthcare sector using published data. Participants will learn to source, analyse, and interpret relevant datasets to inform decision-making and strategic planning within the healthcare environment.

Learning Outcomes

  • Identify and access published data sources relevant to the South African healthcare sector, including government reports and health statistics.
  • Analyse healthcare data using appropriate quantitative and qualitative methods to identify trends and patterns.
  • Evaluate the reliability and validity of published data sources in the context of the South African healthcare system.
  • Interpret findings from healthcare data investigations to draw evidence-based conclusions.
  • Report on healthcare sector insights in a clear and structured manner suitable for professional stakeholders.

Target Audience

This course is designed for healthcare administrators, policy analysts, researchers, and data professionals who need to evaluate the South African healthcare sector using publicly available data.

Prerequisites

None — open enrollment. Basic numeracy and literacy skills are recommended.

Course Outline

Day 1: Introduction to the South African Healthcare Sector and Data Landscape

Objectives:
• Understand the structure and key stakeholders of the South African healthcare system
• Identify the types of healthcare data generated and collected
• Recognise the regulatory and ethical framework governing healthcare data
• Differentiate between public and private sector data sources
• Grasp the importance of data quality and standardisation

Topics:
• Overview of the South African healthcare system: public vs private sectors
• Key healthcare data sources: DHIS, NHLS, private health insurers, electronic health records
• Data types: patient demographics, clinical data, claims data, disease registries
• Regulatory environment: POPIA, National Health Act, HPCSA guidelines
• Data quality dimensions and common challenges
• Introduction to data standards: ICD-10, SNOMED CT, LOINC
• Ethical considerations in healthcare data investigation

Day 2: Data Collection, Extraction, and Management

Objectives:
• Describe processes for collecting healthcare data from various sources
• Apply techniques for extracting and cleaning healthcare datasets
• Understand data management principles including storage and security
• Identify common data errors and inconsistencies
• Use basic tools to prepare data for analysis

Topics:
• Data collection methods: surveys, routine health information systems, clinical trials
• Data extraction techniques: SQL queries, API usage, manual extraction
• Data cleaning: handling missing values, duplicates, outliers
• Data management: databases, data warehouses, cloud storage
• Data security and confidentiality in healthcare
• Metadata and data dictionaries
• Practical exercise: extract and clean a sample healthcare dataset

Day 3: Data Analysis and Interpretation for Healthcare

Objectives:
• Apply descriptive and inferential statistical methods to healthcare data
• Use data visualisation to communicate findings
• Interpret results in the context of South African health indicators
• Identify trends and patterns in healthcare data
• Understand the limitations of data analysis

Topics:
• Descriptive statistics: measures of central tendency, dispersion, frequency distributions
• Inferential statistics: hypothesis testing, confidence intervals, p-values
• Data visualisation: charts, graphs, dashboards
• Health indicators: mortality, morbidity, service coverage, equity
• Analysing disease prevalence and healthcare utilisation
• Case study: analysis of a provincial health dataset
• Common pitfalls in healthcare data interpretation

Day 4: Advanced Data Investigation Techniques and Tools

Objectives:
• Utilise advanced analytical methods such as regression and machine learning
• Apply data linkage and integration techniques across multiple datasets
• Use GIS and spatial analysis for health data
• Understand predictive modelling for healthcare outcomes
• Evaluate the effectiveness of health interventions using data

Topics:
• Regression analysis: linear, logistic, Cox proportional hazards
• Introduction to machine learning: classification, clustering
• Data linkage: deterministic and probabilistic matching
• Spatial analysis: mapping disease clusters, healthcare access
• Predictive modelling for disease outbreaks and resource allocation
• Impact evaluation: difference-in-differences, interrupted time series
• Practical exercise: build a predictive model for patient readmission

Day 5: Reporting, Ethics, and Application in South African Healthcare

Objectives:
• Produce a comprehensive data investigation report tailored to stakeholders
• Apply ethical principles and data governance in reporting
• Present findings to diverse audiences
• Develop recommendations for healthcare policy or practice
• Plan a data investigation project from start to finish

Topics:
• Report writing: structure, clarity, evidence-based recommendations
• Data visualisation for decision-makers: executive dashboards, infographics
• Ethical reporting: avoiding misinterpretation, protecting privacy
• Stakeholder communication: clinicians, managers, policymakers
• Translating data into actionable insights
• Project planning: scoping, timeline, resources, risk management
• Final group presentation and feedback

Practicals

16 hours of practicals To be conducted online or on-campus or in-house
Overview

Practical sessions are integral to this course, allowing learners to apply data investigation techniques to real-world South African healthcare datasets. Through hands-on exercises, participants gain proficiency in data extraction, cleaning, analysis, and reporting, ensuring they can independently conduct data investigations.

Practical Activities
  • Data Extraction and Cleaning — Learners extract a sample dataset from a simulated DHIS database using SQL, then clean the data by handling missing values and inconsistencies. (4h)
  • Descriptive Analysis and Visualisation — Using a cleaned dataset, learners perform descriptive statistics and create visualisations (bar charts, histograms, maps) to summarise key health indicators. (4h)
  • Predictive Modelling — Learners build a logistic regression model to predict patient readmission risk using a provided dataset, then evaluate model performance. (4h)
  • Final Project: Data Investigation Report — In groups, learners conduct a mini data investigation from data extraction to reporting, presenting findings and recommendations to the class. (4h)

Summatives

Each delegate is assessed continuously throughout the course via daily exercises, scored practical assignments, and a final summative test at the end.

Practical Assignments — 30%

Practical assignments are observed and scored against a rubric during the practical sessions. Each delegate's practical mark is averaged into a single 100% score and contributes 30% to the final total.

Daily Exercises — 20%

Every training day ends with a multiple-choice exercise scored out of 100%. The scores from each daily exercise are averaged across the duration of the course to produce a Daily Average mark, which contributes 20% to the final total.

Final Test — 50%

On the last day a final summative test is written. It is a multiple-choice paper with multiple-answer questions: each question may have more than one correct option, and a single wrong selection on a question marks the entire question wrong — no partial credit. The final test is scored out of 100% and contributes 50% to the overall mark.

Final Total
Component Out of Weight
Practical Assignments (rubric-scored) 100% 30%
Daily Average (multiple choice) 100% 20%
Final Test (multi-answer multiple choice) 100% 50%
Final Total 100%

All marks are recorded on the AATICD LMS and visible to each learner under their account.

Certificate

Certificate of Completion

Awarded to delegates who achieve an overall mark of 50% or higher on the Final Total (Practicals 30% + Daily Average 20% + Final Test 50%).

How it works
  • Certificates are auto-generated on the AATICD LMS as soon as the marks pass the 50% threshold.
  • Each certificate is a branded PDF with the delegate's name, the course title, the unit standard ID, NQF level, credits, and the date of issue.
  • You can download or print your certificate from your LMS dashboard at any time after issue — there's no reissue fee and no expiry date.
  • If you scored under 50% you can sit the final test again at the next scheduled session at no extra cost.
Where to find it

Sign in to the LMS, open your dashboard, and your certificates appear under My Certificates. Each entry has a View / Download button and a print option.

Training Discounts

Group discounts apply automatically — the more delegates you enrol, the greater the saving. Discounts are calculated at 3% per 5 delegates, scaling up to 40% off for 100+ delegates.

Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% discount per 5 delegates, up to 40% off for 100+ delegates. Contact us for a custom group quote.

Upcoming Training Sessions
Online training — attend live sessions from anywhere via our virtual classroom.
Start End Delivery Season Price Action
Mon 07 Sep 2026 Fri 11 Sep 2026 Virtual Spring 2026 $1,242 Register
Mon 28 Sep 2026 Fri 02 Oct 2026 Virtual Spring 2026 $1,242 Register
Mon 19 Oct 2026 Fri 23 Oct 2026 Virtual Spring 2026 $1,242 Register
Mon 07 Dec 2026 Fri 11 Dec 2026 Virtual Summer 2026 $1,242 Register
Mon 11 Jan 2027 Fri 15 Jan 2027 Virtual Summer 2026 $1,242 Register
Mon 15 Feb 2027 Fri 19 Feb 2027 Virtual Summer 2026 $1,242 Register
Mon 01 Mar 2027 Fri 05 Mar 2027 Virtual Autumn 2027 $1,242 Register
Mon 08 Mar 2027 Fri 12 Mar 2027 Virtual Autumn 2027 $1,242 Register
Mon 15 Mar 2027 Fri 19 Mar 2027 Virtual Autumn 2027 $1,242 Register
Mon 07 Jun 2027 Fri 11 Jun 2027 Virtual Winter 2027 $1,242 Register
Mon 28 Jun 2027 Fri 02 Jul 2027 Virtual Winter 2027 $1,242 Register
Mon 19 Jul 2027 Fri 23 Jul 2027 Virtual Winter 2027 $1,242 Register
Mon 06 Sep 2027 Fri 10 Sep 2027 Virtual Spring 2027 $1,242 Register
Mon 27 Sep 2027 Fri 01 Oct 2027 Virtual Spring 2027 $1,242 Register
Mon 18 Oct 2027 Fri 22 Oct 2027 Virtual Spring 2027 $1,242 Register
Mon 06 Dec 2027 Fri 10 Dec 2027 Virtual Summer 2027 $1,242 Register
Mon 27 Dec 2027 Fri 31 Dec 2027 Virtual Summer 2027 $1,242 Register
Mon 17 Jan 2028 Fri 21 Jan 2028 Virtual Summer 2027 $1,242 Register
On-Campus training — face-to-face sessions at our training venues across Africa and beyond.
Showing all 492 sessions across 26 venues
Start End Venue Season Price Action
Mon 10 Aug 2026 Fri 14 Aug 2026 Durban, South Africa Winter 2026 $2,916 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Abu Dhabi, UAE Winter 2026 $5,238 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Pretoria, South Africa Winter 2026 $1,863 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Dubai, UAE Winter 2026 $5,238 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Cape Town, South Africa Winter 2026 $3,078 Register
In-House training — we bring the trainer to your organisation, tailored to your team.
Start End Delivery Season Price Action
Mon 14 Sep 2026 Fri 18 Sep 2026 Your Premises Spring 2026 $1,615 Register
Mon 05 Oct 2026 Fri 09 Oct 2026 Your Premises Spring 2026 $1,615 Register
Mon 26 Oct 2026 Fri 30 Oct 2026 Your Premises Spring 2026 $1,615 Register
Mon 14 Dec 2026 Fri 18 Dec 2026 Your Premises Summer 2026 $1,615 Register
Mon 18 Jan 2027 Fri 22 Jan 2027 Your Premises Summer 2026 $1,615 Register
Mon 22 Feb 2027 Fri 26 Feb 2027 Your Premises Summer 2026 $1,615 Register
Mon 08 Mar 2027 Fri 12 Mar 2027 Your Premises Autumn 2027 $1,615 Register
Mon 15 Mar 2027 Fri 19 Mar 2027 Your Premises Autumn 2027 $1,615 Register
Mon 22 Mar 2027 Fri 26 Mar 2027 Your Premises Autumn 2027 $1,615 Register
Mon 14 Jun 2027 Fri 18 Jun 2027 Your Premises Winter 2027 $1,615 Register
Mon 05 Jul 2027 Fri 09 Jul 2027 Your Premises Winter 2027 $1,615 Register
Mon 26 Jul 2027 Fri 30 Jul 2027 Your Premises Winter 2027 $1,615 Register
Mon 13 Sep 2027 Fri 17 Sep 2027 Your Premises Spring 2027 $1,615 Register
Mon 04 Oct 2027 Fri 08 Oct 2027 Your Premises Spring 2027 $1,615 Register
Mon 25 Oct 2027 Fri 29 Oct 2027 Your Premises Spring 2027 $1,615 Register
Mon 13 Dec 2027 Fri 17 Dec 2027 Your Premises Summer 2027 $1,615 Register
Mon 03 Jan 2028 Fri 07 Jan 2028 Your Premises Summer 2027 $1,615 Register
Mon 24 Jan 2028 Fri 28 Jan 2028 Your Premises Summer 2027 $1,615 Register
Training Discounts
Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% off per 5 delegates, up to 40% for 100+

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