Health Data Analytics Workflow

Goal: Define research questions, analytical objectives, and outcome measures.

Typical activities:

• Define policy or research problem

• Identify target population and outcomes

• Clarify analytical objectives

• Establish success criteria

Deliverable:

• Analytical Brief / Project Definition

The Gate: Strategic Alignment Memo (SAM). Setting the "North Star" for the technical model based on business-centric KPIs (signed off by both parties)

Timeline: Week 1

📆 Meeting Type 1 — 45 min; Strategic Alignment

The Governance: Execute Mutual NDA

Share key documents for review and execution within 2 weeks:

• MSA

• SOW

• Data Transfer & Use Agreement ( Appendix A: Dictionary)

Billing Trigger: INV 1 (20%) must be settled via Stripe to start the clock

Goal: Confirm dataset access, governance conditions, and ethical considerations.

Typical activities:

• Dataset inventory

• Data governance review

• Ethical and privacy considerations

• Data transfer and anonymisation checks

Deliverable:

• Data Access & Governance Summary

• Initial Data Audit & Feasibility Assessment

• Establishing a rigid "Freeze" on the raw data to protect scientific integrity in Phase 4.

Timeline: Week 2

📆 Meeting Type 2 - 15 min.

Governance: SAW executed and Data Clarification Form submitted to client

Goal:

• Evaluate dataset structure, variable availability, and analytical feasibility.

• Checkpoint: Analytical Feasibility Review (Go / No-Go)

Typicall activities:

• Exploratory data analysis

• Variable review

• Missing data patterns

• Initial descriptive statistics

• Data Clarifications Request via DCF

Deliverable:

• Exploratory Data Assessment

• Feasibility check list

The Gate: 🛑THE GO/NO-GO.

The Action: Evaluation of the raw data against the Feasibility Checklist. If "Amber," issue the 30-Day Data Refresh CR.

Timeline: Week 3

📆 Meeting Type 2 - 15-minutes

Governance: MSA & SOW executed

Goal: Prepare analytical dataset and construct derived variables.

Typical activities:

• Data cleaning & Preparation

• Harmonisation of variables

• Feature Engineering.

• Cohort definition

Deliverable:

• Analytical Dataset

• Transforming raw health data into a "model-ready" state via investigator-level cleaning.

Timeline: Weeks 4 — 6

📆 Meeting Type 2 - 15 min

The Action: Transition to the Data Freeze. Initiation of the Imputation Log (Form submitted to client). No R-coding begins until this gate is cleared.

Billing Trigger: INV 2 (30%) Data Lock.

Goal: Develop statistical models addressing the defined analytical objectives.

Typical activities:

• Statistical modelling

• Model selection

• Sensitivity analysis

• Validation procedures

Deliverable:

• Analytical Models

• The "Heavy Lift" analytical engine.

• The Action: 6 weeks of iterative R-coding, algorithm tuning, and validation.

• The Ritual: Weekly Analytical Alignment Briefs (📆 Meeting Type 2 - 15 min, max 5 guests to maintain RAG status)

Timeline: Weeks 7 - 12

📆 Meeting Type 2: 15 min

Goal: Evaluate model performance and interpret analytical outputs.

Typical activities:

• Model diagnostics

• Robustness checks

• Interpretation of findings

• Policy or operational implications

Deliverable:

• "Judgment Day": auditing the results against the original strategic promises📑.

• Analytical Findings

• Release of the Model Performance Scorecard.

Timeline: Weeks 13

📆 Meeting Type 1 — 45 min

Billing Trigger: INV 3 (30%) week 13

Goal: Based on the evaluation phase, models may be refined to improve robustness and interpretability. Additional sensitivity analyses and validation checks are conducted as required.

Typical activities:

• Validated analytical findings are synthesised into clear insights and implications.

• Results are interpreted within the relevant public-health or policy context and communicated through a strategic briefing

• Refining the Reproducible R-Scripts. Checking for "Coding Drift" and ensuring the logic is audit-ready for regulatory standards.

• Ensuring the analysis meets rigorous anonymization.

Timeline: Weeks 14 — 15

📆 Meeting Type 2 — 15 min; Weekly Analytical Briefs

Goal: Translate validated analytical findings into strategic insights and recommendations.

Typical activities:

• Strategic interpretation

• Policy or programme implications

• Final reporting and synthesis

• Stakeholder briefing

Deliverable:

• Strategic Synthesis Brief

• Delivery of the Final Analytical Report and the Certificate of Data Destruction.

• Revocation of OneDrive/MFA access & Liability Termination.

Timeline: Week 16

📆 Meeting Type 1 — 45 min

Billing Trigger: Final INV (20%)‍

• Serving as Principal Statistician and scientific lead for analytical projects

• Providing strategic statistical design, analysis, and interpretation of health data

• Offering embedded analytical stewardship from project conception through to final reporting

All analysis is conducted exclusively using fully anonymised datasets.