Datathat

makessystems

behave

I work where clinical systems, messy service data, and frontline pressure collide. The job is patient safety: make the signal readable, make the workflow safer, make the next decision easier.

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Steven Olufowobi

Patient safety through better clinical systems.

MSc Health Data Science, NHS EPR support experience, ITIL service practice, and BI muscle for turning support noise into safer patient-care action.

My working model is simple: understand the request, map the workflow, test the evidence, then make the safest change people can actually use.

01 / Work modes

Every request is a workflow signal.

02 / A useful little toy

Tap the board. Support noise becomes safety action.

Every card starts as a request. Click one and it becomes workflow evidence for safer care.

25% incident reduction 500+ tickets resolved 25+ SOPs authored 3 days to 4 hours 200+ staff trained requests treated as workflow signals safer handover by design MSc thesis on digital phenotyping MIMIC-IV + PubMed + White Swan clinical data made safer to act on

03 / Project

Practice should build confidence before pressure arrives.

Sphinx Unofficial Sphinx Quiz Maths, English, and beginner Python aptitude practice

04 / Thesis

Evidence that can sharpen patient-safety hypotheses.

MSc Health Data Science

Clinical text becomes safety intelligence.

A visual reading of the thesis: compare how disease signals appear in records, patient-facing language, and published evidence without exposing the paper itself.

Pancreatic carcinoma

Unique pancreatic carcinoma phenotypes

Clinical notes surfaced 595 unique pancreatic carcinoma phenotypes, compared with 21 in social media data and 136 in biomedical literature.

05 / CVs

Choose the version that matches the patient-safety problem.

Data Analyst CV BI, analytics, clinical data quality EHR / IT Systems CV workflow, support, implementation, enablement

Let’s make the safer path easier to follow.

[email protected] +44 7308 752529 LinkedIn