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A patient-facing tool that turns lab reports and discharge summaries into plain-language explanations and offers a guided symptom checker that suggests which type of doctor to consult.
Problem Statement
Patients struggle to understand medical reports full of abbreviations and reference ranges, and often search the internet for unreliable explanations.
Objectives
Extract text and values from uploaded PDF reports
Summarize findings in simple language using an LLM
Flag values outside reference ranges
Build a rule and model based symptom triage flow
Modules
Report Parser
OCR and table extraction for lab reports in PDF or image form.
Summarization Engine
Language model pipeline that explains findings without giving a diagnosis.
Symptom Checker
Question flow that maps symptoms to likely specialities and urgency levels.
Patient Dashboard
Report history, trend charts for repeated tests, and shareable summaries.
Expected Output
A web portal where a patient uploads a report and receives an easy-to-read summary, highlighted abnormal values, and guidance on which specialist to visit.
Future Scope
Regional language output, integration with hospital systems, medication interaction checks, and doctor review workflow.