AI-Powered Medical Diagnostics Platform for Faster, Smarter Reporting
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Client overview
Our client, a U.S.-based health consulting provider, specializes in preventive healthcare and personalized medical guidance. The company helps patients interpret comprehensive lab results — including full blood panels and genetic testing — and gives individualized assessments.
Previously, the team relied on manual transcription of lab results and performed mathematical evaluations using custom formulas stored in spreadsheets. Though effective on a small scale, this approach lacked efficiency, scalability, and precision to accommodate a growing patient base. With aspirations to expand services and adopt a modern, digital-first strategy, the client asked DevCom to design and implement a scalable, AI-driven platform.
The client’s original process was time-intensive, inconsistent, and prone to error:
Manual Data Entry: Lab test reports, often containing 50–54 indicators, had to be transcribed line by line from PDF files into Excel sheets.
Slow Turnaround: Processing and generating patient reports took up to 2 hours per case, delaying results and consultations.
Human Error Risks: Even experienced staff could misread or mistype numerical values, leading to inaccuracies in health assessments.
Limited Scalability: The business model was capped by the number of reports a small team could handle daily.
The client aimed to eliminate manual bottlenecks, accelerate workflows, and offer patients a modern digital experience while ensuring compliance with healthcare standards.
Solution
DevCom designed and delivered an AI-powered diagnostics platform that transforms raw lab data into structured, actionable insights.
1. AI-Powered Data Recognition
Integrated Gemini AI for intelligent PDF parsing of lab test results
Automated extraction of 50+ medical indicators (e.g., hemoglobin, progesterone, estradiol, testosterone)
Converted unstructured lab outputs into structured data arrays ready for calculation
2. Smart Verification & Human-in-the-Loop
Implemented a review workflow for medical staff to verify extracted data
Doctors and administrators can quickly compare AI output against the original PDF, correcting discrepancies in seconds
Ensures accuracy and trustworthiness without entirely removing human oversight
3. Automated Health Report Generation
Developed a dynamic reporting system that groups indicators by body systems (heart, liver, kidneys, hormones, etc.)
Created visual dashboards with traffic-light coding (green/yellow/red zones) for health status clarity
Reports are generated in PDF and web format and are available directly in the patient’s portal.
4. Patient Portal & Digital Experience
Built a secure web portal where patients log in, view health reports, track progress, and receive educational video content
Enabled automated onboarding — new patients receive credentials once their first report is ready
We have introduced an interactive “Help Me Fix This” feature that allows patients to request personalized guidance directly from their doctor.
Results
The solution had an immediate and transformative business impact:
Processing Efficiency: Manual processing time was cut by over 95%, dropping from 1.5–2 hours per report to just 3–5 minutes, including verification.
Report Generation: Reporting time was reduced by up to 90%, decreasing from 30–60 minutes to only 3–5 minutes.
Error Minimization: Lowered transcription errors through AI-based recognition combined with human validation.
Better Patient Care: Patients receive quick, visually clear, and accurate reports along with educational content.
Cost Optimization: Staff are freed from repetitive tasks, allowing them to manage 2–3 times as many patients daily.
The project laid the groundwork for future AI-driven recommendations (e.g., personalized treatment suggestions and lifestyle guidance).
Technologies used
Looking to implement AI in healthcare, diagnostics, or patient engagement platforms?
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