Automated Research Data
Pipeline Development

Healthcare researchers face significant barriers in securely transferring and analysing EHR data, with manual processes increasing error risk and compromising reproducibility.

• Automate EHR to EDC data transfer

• Ensure HIPPAA data security compliance

• Implement reproducible, adaptable workflows

• Integrate public datasets e.g. MIMIC critical care dataset, UK Biobank

• Standardise and automate reporting processes

1. Pipeline Architecture

• API-based data extraction and processing

• Automated cleaning protocols

• Statistical analysis and modelling integration

• R Markdown/Jupyter report generation

2. Technical Implementation

• EHR data lake architecture

• Security protocol development

• Quantitative analysis automation

• ML/MLP/LLM support

• Plug-in support for public dataset tools

3. Workflow Optimisation

• Error flagging mechanisms

• Audit trail implementation

• Reproducibility framework

• Documentation automation

Quantitative Outcomes

• 90% time reduction in manual processing

• 100% reproducible analyses

• Zero security breaches

• 75% time savings in reporting

Research Benefits

• Complete audit trails

• Enhanced data security

• Automated quality control

• Standardised outputs

"UMBIZO exceeded our expectations in every way. Their technical abilities are outstanding, and their communication was excellent. The automated pipeline has revolutionised our research workflow. We were initially sceptical, but they delivered beyond our highest hopes."

Research Director, recent client

• Iterative Pipeline Development: 12 weeks

• Integration of data and beta testing: 6 weeks

• Ongoing maintenance and support

Expanding pipeline capabilities to include a diverse range of machine learning models and platform options, developing additional public dataset tools.