You will get a Healthcare Data Quality Assessment & Reporting Review
Project details
I’ll take your messy healthcare CSVs and turn them into clean, analysis‑ready data with a clear quality report and optional PostgreSQL schema. Drawing on my biomedical engineering and data analysis background, I focus on real clinical safety: I fix casing, dates, types, and fake contacts while keeping truly missing values as nulls instead of silently guessing. The result is a fully documented, reproducible cleaning process that your team can trust for analytics, dashboards, or downstream modeling.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20Frequently asked questions
About Kevin
Healthcare Workflow & Operations Consultant | Clinical Operations
Nairobi, Kenya - 9:34 pm local time
Hospitals rarely struggle because they lack data.
They struggle because information is scattered across appointments, EMRs, spreadsheets, call logs, and operational reports, making it difficult to see what is happening and where processes are breaking down.
I help hospitals, clinics, and digital health companies turn fragmented operational information into clear systems that support better decisions.
My work focuses on understanding how patients, staff, and information move through healthcare operations, then designing practical solutions that improve visibility, reporting, and workflow performance.
I can help you with
• Clinical workflow reviews and process mapping
• Patient journey analysis
• KPI framework design for healthcare operations
• Healthcare management dashboard planning
• Healthcare data quality assessments
• Operational reporting frameworks
• SOP and workflow documentation reviews
• AI readiness assessments for healthcare data
• Clinical operations analytics
• Decision-support workflow design
How I work
Every engagement begins with understanding your operational goals.
Together we identify:
where information is created
where delays occur
where data quality affects decisions
what leadership actually needs to measure
which KPIs matter most
how reporting should support day-to-day operations
Only then do I recommend dashboards, reports, automation, or AI solutions.
Technology should support your workflow, not define it.
Why clients work with me
My background combines biomedical engineering, hospital operations, and healthcare analytics.
I've worked in Level 5 and Level 6 referral hospitals across ICU, laboratory, diagnostics, theatre, renal, and outpatient environments. That experience helps me understand both the clinical reality and the operational challenges behind healthcare data.
Rather than approaching projects as a software developer, I approach them as healthcare workflow problems.
Technical capabilities
When implementation is needed, I also support projects involving:
Healthcare analytics
Dashboard development
Python automation
SQL & PostgreSQL
Healthcare data cleaning
EMR data preparation
KPI reporting
Data validation
AI-ready healthcare datasets
These tools support the consulting work rather than replace it.
Typical projects
I work with healthcare organizations on projects such as:
Reviewing patient journeys to reduce cancellations and no-shows
Designing executive KPI dashboards
Assessing healthcare data quality before analytics projects
Mapping clinical workflows before EMR implementation
Improving operational reporting
Planning AI-ready healthcare data structures
Defining workflow metrics for clinical operations
If you're trying to improve visibility into your healthcare operations, understand where processes are breaking down, or design reporting systems that support better decisions, I'd be happy to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Kevin can start the project.
Delivery time starts when Kevin receives requirements from you.
Kevin works on your project following the steps below.
Revisions may occur after the delivery date.
Review data and confirm scope
I review your CSV(s) and requirements, clarify any questions, and confirm the final scope before cleaning starts.
Clean and validate the dataset
I run the Python cleaning pipeline to fix formats, casing, types, and placeholders, then validate the results with summary checks.