Nigerian Healthcare Professionals Survey on AI and ML Applications

Survey responses from healthcare professionals across Nigeria's six geopolitical zones regarding perceptions of artificial intelligence and machine learning in healthcare. The dataset includes 27.7% pharmacists, 24.5% physicians, and 19.3% nurses, with 55.7% female and 68.3% aged 18–30. It was collected via a structured questionnaire and analyzed with SPSS version 25, authored by Obi Peter Adigwe and last updated in May 2026.

Use Cases

• Analyze demographic correlations with AI acceptance based on participant age and profession groups
• Assess perceived utility of ML for research processes based on the 67.3% agreement rate
• Evaluate attitudes towards AI in drug discovery based on the 69.5% belief metric
• Study perceptions of AI's role in clinical decision-making based on the 66.6% support figure
• Investigate opinions on AI/ML in pharmaceutical manufacturing based on the 77% positive response

Strengths

• Demographic breakdown is provided, including specific percentages for pharmacists (27.7%), physicians (24.5%), and nurses (19.3%)
• Geographic coverage is specified as across Nigeria's six geopolitical zones
• Key perception metrics are quantified, such as 67.3% agreeing ML can enhance research

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is very small at 19.6 KB, indicating limited scope

Provenance

Source

Obi Peter Adigwe

Collection Method

Cross-sectional study using a well-structured questionnaire and stratified multistage sampling

Freshness

Last updated 2026-05-28 17:26:54; freshness should be verified

Geography

Nigeria (six geopolitical zones)