👨⚕️
For Doctors
Monitor multiple patients, review real-time data, identify risks early, and support clinical workflows.
Includes patient lists, readmission risk alerts, appointment actions, call prompts, and prescription support.
Healthcare Analysis
Smart insights for better patient care
AI-Driven Healthcare Insights
Revolutionizing patient care through predictive analytics
Healthcare Analysis helps patients, doctors, NHS trusts, and health leaders turn complex healthcare data into clear insights, early risk alerts, and better decisions.
Live Healthcare Dashboard
Hover over the bars to view patient risk insights.
0Patients
0At Risk
0Appointments
💡 Messy data? Need help with data? We are here.
Check the health of your company through smarter data.
Healthcare Analysis is not only for doctors and patients. We also help small and growing companies that need the skills of a Data Analyst, Data Scientist, Power BI Developer, or Machine Learning Engineer but cannot afford a full in-house data team.
We organise messy data, analyse performance, build decision-ready dashboards, create predictive models, and help companies grow using the data they already have.
01
Clean and organise your data
02
Turn data into useful insights
03
Predict risks, demand, and growth
Data Organisation
Clean, structure, combine, and prepare business data so it becomes reliable for reporting and decision-making.
Dashboards & Reports
Build professional dashboards for sales, finance, operations, customers, stock, KPIs, and business performance.
Predictive Models
Use machine learning to forecast demand, customer behaviour, risks, stock needs, costs, and growth opportunities.
Cost Saving Support
Reduce the cost of hiring separate analysts, data scientists, Power BI developers, and ML engineers.
Company Data Health Check
A simple view of how we improve your data maturity and decision-making.
78%
Data health improvement
Cleaner DataLess manual work
Live KPIsBetter visibility
Lower CostsFewer role gaps
Growth SignalsPredict next steps
One affordable partner. Multiple data skills. Clear insights to help your business grow.
Who We Serve
Click each card to see how the platform supports different healthcare users.
🧑🤝🧑
For Patients
Upload health reports, view trends, understand changes in test results, and receive simple alerts.
Patients can upload PDFs, compare previous reports, and understand important changes in simple language.
🏥
For NHS Trusts
Forecast hospital capacity, monitor demand, identify pressure areas, and plan resources early.
Trusts can track bed demand, A&E pressure, readmission trends, and future resource requirements.
Key Features
Modern data, automation, and predictive intelligence in one healthcare platform.
📈
Predictive Analytics
Forecast patient outcomes and flag readmission risks earlier.
Useful for diabetes, cancer, kidney, liver, and chronic condition monitoring.
📊
Data Visualization
Interactive dashboards show patient trends and trust-level insights clearly.
Dashboards can show trends, risk percentages, appointments, capacity, and performance indicators.
⚙️
Smart Automation
Extract key details from PDFs and reduce manual analysis.
AI can identify values such as blood sugar, HbA1c, markers, and abnormal results from reports.
Interactive Dashboard Preview
Use the menu and filters below to explore different parts of the healthcare dashboard.
Patient Overview
0Total Patients
0At Risk
0Appointments
Diabetes Monitoring78%
Readmission Prevention64%
Appointment Follow-ups82%
Risk Alerts
John, 70 - Diabetes, 60% Readmission Risk
Sarah, 65 - Cancer, 45% Risk
Mike, 82 - Kidney, 55% Risk
Prescription Support
Doctors can review AI suggestions, check patient history, and send actions to pharmacy systems after clinical approval.
Insulin review
3 patients may need review based on recent diabetes trend.
3 patients may need review based on recent diabetes trend.
Medication follow-up
12 follow-ups are pending this week.
12 follow-ups are pending this week.
Trust Capacity Forecast
Forecast demand and identify early pressure across hospital services.
A&E Capacity91%
Bed Availability37%
Staff Coverage72%
Doctor Tools
Simple tools to help doctors act faster while keeping clinical control.
PDF Report Reader
Extracts key values from patient reports.
Extracts key values from patient reports.
Patient Trend View
Compares current and previous results.
Compares current and previous results.
Risk Ranking
Sorts patients by predicted risk level.
Sorts patients by predicted risk level.
Follow-up Actions
Book, call, prescribe, or review.
Book, call, prescribe, or review.
About Healthcare Analysis
Healthcare Analysis was created by Nani Sappidi with a clear mission: to make healthcare better for patients and easier for the NHS through practical AI and data analytics.
The platform uses free and open AI tools such as LLaMA and Mistral to extract key information from medical reports, show trends in simple graphs, and support early decisions for patients with chronic conditions such as diabetes, cancer, kidney, and liver conditions.
The bigger vision is to support NHS hospitals with secure, scalable, and cost-effective analytics that follow NHS data rules and protect patient privacy.
Core Innovation
Predicting hospital readmissions within 6 months to help doctors act early and reduce NHS pressure.
- Cleaned healthcare dataset from 101,766 to 17,580 patients
- Random Forest model with 77% training accuracy
- Flags high-risk patients for early follow-up
- Supports patients, doctors, trusts, and researchers
Saving NHS Time and Money
Healthcare Analysis is designed to reduce manual work, prevent avoidable readmissions, and support better resource planning.
🤖
Automated Data Analysis
AI extracts useful information from PDFs and reports, helping reduce manual work.
This can support faster triage, fewer admin steps, and more consistent analysis across patient reports.
💷
Fewer Readmissions
Early risk prediction can help reduce avoidable hospital returns.
Doctors can intervene earlier with follow-ups, medication reviews, and appointment planning.
🔐
Secure Data Environments
The vision supports privacy-first data use within secure environments.
The platform is designed around safe data handling, anonymised research, and NHS-aligned privacy rules.
How It Works
Click each question to view the answer.
Patients can upload health reports, view trends, and receive easy-to-understand alerts when results change significantly.
Doctors can view patient risk levels, monitor trends, book follow-ups, call patients, and review suggested actions.
Trusts can use capacity forecasting, readmission predictions, and trend dashboards to plan resources earlier.
Comparison with Other Apps
Healthcare Analysis combines patient insights, doctor tools, predictive models, and trust-level planning in one solution.
| Feature | Healthcare Analysis | Typical Healthcare Apps |
|---|---|---|
| Patient Report Uploads | PDF upload with AI extraction and trend graphs | Often limited to manual entry or basic storage |
| Doctor Dashboard | Risk alerts, patient monitoring, and workflow support | Usually focused on records or appointments only |
| Predictive Readmissions | Flags 6-month readmission risk using ML models | Not commonly available in patient-facing apps |
| NHS Trust Insights | Capacity forecasting and operational planning | Usually separate from patient apps |
Join the Healthcare Analysis Vision
Funding, collaboration, and pilot opportunities can help complete, test, and scale this platform with NHS trusts and innovation partners.
Get in Touch
Contact Healthcare Analysis for healthcare analytics, company dashboards, data analysis, predictive models, or collaboration.
Contact Details
Messy data? Need help related to data? We are here to check the health of your company and help it grow.