AI Medical Coding Agent

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@vishal1145

Your OCR layer will fail on handwritten physician notes and multi-column layouts unless you implement preprocessing with OpenCV or a specialized medical-records parser. Most off-the-shelf libraries like PyPDF2 struggle with scanned documents that lack embedded text layers, which means you'll get garbage input before the NLP even runs. To ensure this doesn't become a rewrite after the first test batch, I need clarity on two things. First, what percentage of your outpatient records are native digital PDFs versus scanned images? If more than 30% are scanned, we'll need Tesseract OCR with custom training data or AWS Textract to hit your 90% accuracy target. Second, are you expecting the agent to handle edge cases like conflicting diagnoses or incomplete documentation? ICD-10 guidelines require specificity - if a chart says "diabetes" without type or complications, the system needs logic to either flag it for manual review or apply a default code with a confidence score. Here's the technical approach: - PYTHON + SPACY + HUGGING FACE: Fine-tune a BioBERT or ClinicalBERT model on your ICD-10/CPT reference data to extract medical entities (diagnoses, procedures, anatomical sites). This beats generic NLP because it understands clinical terminology like "acute MI" versus "myocardial infarction history." - PDFPLUMBER + OPENCV: Extract text from native PDFs with pdfplumber, then use OpenCV to detect table structures and multi-column layouts. For scanned documents, apply image deskewing and contrast enhancement before passing to Tesseract OCR. - RULE ENGINE + VECTOR SEARCH: Embed your ICD-10 guidelines and CPT notes using sentence transformers, then perform semantic search to match extracted clinical phrases against the most relevant coding rules. This ensures every code suggestion includes a traceable citation from your source documents. - FASTAPI + REACT FRONTEND: Build a lightweight web interface where users drag-and-drop PDFs, view real-time processing status, and download results as CSV/JSON. FastAPI handles the backend logic while React provides the UI - both can run on a single EC2 instance or locally via Docker. - CONFIDENCE SCORING: Output each code with a 0-100 confidence score based on keyword match strength and guideline alignment. Codes below 75% get flagged for human review, which prevents false positives from tanking your accuracy metric. I've built two similar medical-coding automation systems for healthcare clients - one processed 50K claims per month with 94% accuracy after tuning. The key is not just throwing spaCy at raw text but layering domain-specific models with rule-based validation. Let's schedule a 20-minute technical call to review your sample PDFs and confirm the OCR strategy before I architect the full pipeline.

@webmasters486

Hey, I’ve reviewed your project and understand you’re looking to build a self contained AI agent that extracts clinical narratives from uploaded outpatient PDFs, maps them against ICD 10 and CPT guidelines, and returns accurate code suggestions with clear rule based justifications. The focus will be reliable parsing, guideline driven reasoning, and structured downloadable output. I can develop a Python based solution using pdfplumber or PyPDF2 for extraction, OCR where needed, spaCy or a transformer model for NLP, and a rules plus reference mapping layer that links each suggested code to the relevant guideline citation from your PDFs and CPT Excel file. The system can be delivered as a lightweight web app with CSV or JSON export, fully documented and easy to deploy locally or on a small cloud instance. Let’s connect so I can outline the architecture and validation approach to achieve your 90 percent accuracy target. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@hotanloc

Hi... Nice to meet you.(OCR EXPERT) I am have full experiences in extraction numeric data from pdf or scanned image and convert this to csv file or txt file format using python automatically. In this project, we have to use OCR engine for extraction character and numerical data from scanned image. I am sure your project and i can deliver good result with high quality. I will wait your message to discuss project in more details. Thanks.

@Ussama91

I will design and develop a fully working AI agent to extract clinical narratives from outpatient medical records, map them against the provided guidelines, and return recommended ICD-10 and CPT codes with concise explanations, using Python and libraries like PyPDF2, spaCy, or Hugging Face, ensuring a self-contained solution with clear comments and a setup guide, delivering a sample output and meeting the acceptance criteria of correctly identifying at least 90% of target diagnoses and procedures, pairing each suggested code with a guideline-based justification, and handling varying PDF layouts without manual pre-formatting, adapting to the proposed budget. Waiting for your response in chat! Best Regards.

@AZTURK1

Hi there, I understand you need a self-contained AI Medical Coding Agent that ingests outpatient PDFs, runs OCR/NLP, maps findings to ICD-10 and CPT using your guideline PDFs and CPT Excel, and returns recommended codes with citation-backed rationale. I’ve built similar guideline-driven NLP pipelines and can deliver a production-ready local/cloud-hostable agent. - Deliverable: working agent (Python scripts + optional lightweight Flask UI) supporting drag-and-drop upload, OCR (Tesseract/pdfplumber), NLP (spaCy + transformer), and rule-based mapping to ICD-10/CPT. - Deliverable: source code with inline comments, environment requirements, and brief setup guide; container-friendly (Dockerfile) for easy local/cloud deployment. - Deliverable: sample output (CSV/JSON) for your provided record demonstrating ≥90% target identification and guideline citations; unit test for parsing robustness across layouts. - Optional: lightweight JS frontend, batching support, or model fine-tuning on sample records if needed. Skills: ✅ Natural Language Processing ✅ Python, spaCy, Hugging Face transformer integration ✅ OCR (Tesseract/pdfplumber) and PyPDF2/pdfminer ✅ Deployment: Docker, small cloud hosting guidance ✅ Security/performance: staged processing, validation, rollback, and minimal-data retention Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I can start immediately; delivery in 5 days for the base agent with sample output and docs. Do you have a

@hr157

Hi, Your AI-assisted ICD-10/CPT coding agent is exactly the kind of structured NLP + automation system I build. With 10+ years as a full-stack developer working on data-driven platforms, I can create a local-deployable solution that ingests outpatient PDFs, extracts clinical narratives, applies guideline-aware reasoning, and returns explainable coding suggestions. My approach would be: • Python pipeline using pdfplumber/PyMuPDF + OCR fallback for varied layouts • spaCy/transformer-based medical NLP for entity extraction • Guideline-aware RAG layer indexing your ICD-10 PDF, CPT Excel, and project rules so every suggested code includes a cited rationale • Lightweight FastAPI web app with drag-and-drop upload and CSV/JSON report export I focus heavily on accuracy, traceability, and maintainable architecture — ensuring ≥90% coding precision while keeping the system self-hostable on a small cloud instance or local machine. Why me: • 10+ years full-stack experience (AI workflows, automation, SaaS tools) • Strong background building document-processing and reasoning pipelines • Clean, well-documented code with clear setup guides and handover support Happy to review your sample records and confirm the exact pipeline before we start.

@KTECH2411

Hi, you need a self-contained agent that takes an uploaded outpatient record PDF, extracts the narrative (OCR/NLP), then recommends ICD-10 + CPT codes with a short justification that cites the exact guideline note/rule from your reference PDFs/Excel. I can build this as a lightweight local web app in Python (pdfplumber/PyMuPDF + OCR, spaCy/transformer NER, rules layer + retrieval over your guidelines) and output a CSV/JSON report. You’ll get commented source code, setup guide, and a sample run on your chart to validate coding accuracy and rationale quality.

@rakam26

Hello Just read your post and it seems you are looking for a developer skilled in building a guideline-driven medical coding agent that can extract clinical narrative from outpatient record PDFs, map it against ICD-10/CPT references (PDF + Excel), and return recommended codes with concise, citation-backed explanations and a downloadable report. With my years of extensive experience and exceptional expertise in Python-based document parsing (pdfplumber/PyPDF2), OCR + NLP pipelines, retrieval-augmented reasoning over structured/unstructured references (ICD-10 guidelines + CPT tables), and building self-contained local deployable tools, I am 100% confident that I can bring your vision to life in the shortest possible time. Let’s connect and see how great value I can add to your business. Best Regards, Raka

@sarimshoaib1425

I've built RAG-based document agents before and this is exactly that use case. I'll load your ICD-10 guidelines, CPT Excel, and project PDF into a vector database, then build an LLM agent that reads the uploaded patient record, reasons against your reference docs, and returns accurate code suggestions with guideline-based justifications for each one. Main orchestrator would be n8n or python backend if your prefer. Okay with either Let's do it.

@Hemantt841

You’re looking to build an AI medical coding agent that extracts clinical narratives from outpatient PDFs, applies ICD-10 and CPT guidelines from your provided references, and returns codes with precise, guideline-based explanations. The flow you outlined—from drag-and-drop upload to downloadable CSV/JSON report—needs to handle diverse PDF layouts and achieve high accuracy on your test set. With over 15 years of experience and more than 200 projects completed, I specialize in Python development with a focus on OCR and NLP pipelines. I have worked extensively with libraries like pdfplumber and spaCy, and I’m comfortable integrating transformer models via Hugging Face to enhance text extraction and coding accuracy. This background aligns well with your requirement for a self-contained, locally hostable solution. For your project, I will build a modular Python application that leverages OCR to parse PDFs, then uses NLP to identify clinical concepts and map them against your ICD-10 and CPT guidelines stored in the PDFs and Excel. The agent will generate code suggestions alongside clear, sourced rationales. I expect to deliver a working prototype with sample outputs within three weeks, including a setup guide and commented source code. Feel free to share any additional details or questions so we can get started promptly.

@QuickMentor

AI Medical Coding Agent I'm excited after reviewing your project details! With over 5 years of hands-on experience in Web and App Development, I specialize in building high-performing, user-friendly, and fully responsive digital solutions tailored to your business needs. I hold an academic background in Computer Science and have successfully delivered numerous projects across various industries. My expertise includes: Custom Website Development (React, Angular, Laravel, PHP, WordPress, etc.) Mobile App Development (iOS, Android, Flutter, React Native) E-commerce & CMS Solutions (Shopify, WooCommerce, Magento) API Integration & Backend Development UI/UX Design & Prototyping Bug Fixing, Speed Optimization & Maintenance ✔ Clean, Scalable & Secure Code ✔ 100% Mobile & SEO-Friendly ✔ Ongoing Support & Unlimited Revisions Let’s turn your idea into a powerful digital product that exceeds expectations! Check my profile: https://www.freelancer.com/u/QuickMentor Looking forward to working with you!

@PyMLExpert1

With my skills and expertise, I'm the perfect fit for your AI Medical Coding Agent project. Over the years, I have honed my Python and Machine Learning skills to architect and implement robust AI systems from scratch. I am well-versed with essential libraries such as PyPDF2, pdfplumber, spaCy, as well as transformer models through Hugging Face that are ideal for building your agent. I'm confident in delivering a self-contained solution that is easy to host on any platform, be it local or on a small cloud instance. Your project aligns perfectly with what I've been doing, automating complex processes and leveraging large-scale data with high accuracy. I have a rich understanding of healthcare terminologies and guidelines, which is crucial in this task of extracting and matching the clinical narrative from outpatient medical records against ICD-10 and CPT guidelines you provided. My aim is to ensure your agent correctly identifies at least 90% of target diagnoses and procedures. In addition to delivering a fully working agent with a brief setup guide and commented source code, I will conduct thorough testing using sample outputs from your records to confirm the precision of both suggested codes and their justifications as based on the supplied PDFs/Excel. Choose me today, and let's build an impeccable AI solution for your medical coding needs.

@crismicheal

I recently helped a healthcare client automate code extraction from medical records, achieving over 92% accuracy in ICD-10 and CPT mapping with guideline-based explanations. This project included integrating OCR and NLP with source documents much like your PDFs and Excel files. I bring 5+ years of hands-on experience and a track record of delivering high-quality, practical solutions. I keep projects organized, communicate clearly, and ensure deadlines are met. My goal is simple: efficient execution and a result you’re proud of. I can start right away. While I am new to Freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, Cristiano Ferreira

@Irshad5610

Hello, I carefully reviewed your project and clearly understand the required workflow — from outpatient PDF upload to OCR/NLP extraction, guideline-driven ICD-10/CPT mapping, and justification-backed code suggestions with structured output. My approach will be modular and explainable: Phase 1 – OCR & Narrative Extraction • PDF parsing (pdfplumber / PyPDF2) • OCR via Tesseract for scanned files • Extraction of diagnosis, procedures, and clinical notes • Text normalization for consistent processing Phase 2 – ICD-10 & CPT Mapping • Hybrid system: rule-based logic + contextual NLP similarity • Parsing ICD guidelines PDF and CPT Excel references • Cross-validation against official rules • Ranked code suggestions with confidence scoring Phase 3 – Explainable Reporting • Each suggested code paired with guideline-based justification • Structured JSON/CSV export • Self-contained solution deployable locally or on cloud To meet the ≥90% accuracy requirement, I will combine deterministic rule checks with semantic similarity matching and validate results on your test dataset. Could you please clarify: Are most PDFs text-based or scanned? Should explanations reference page numbers or sections? What is the size of your validation set? I will deliver clean, well-commented code with a setup guide. Looking forward to collaborating. Best regards, Irshad

@vyshakv1

hey sir I am a data scientist. I am skilled in in the above mentioned skills.I have the confidence that i can create exactly what do you want .Also i am skilled in hands on projects.

@zacsin9

Hey — saw your post about the AI medical coding agent for ICD-10 and CPT from outpatient PDFs. The tricky part here will be reliably parsing messy PDF layouts and still hitting your ≥90% accuracy target while keeping every code tightly tied back to the official guidelines. Quick question before I suggest an approach: Do you already have a labeled test set of charts with “gold standard” ICD-10/CPT codes, or will we be building evaluation logic from your one sample and future records? I’ve built NLP-heavy, guideline-driven extraction pipelines before (OCR → spaCy/transformers → rules layer → JSON/CSV reports), including work with medical/healthcare documents and custom validation logic. If you send the three source documents plus one sample record, I can review them and come back with a concrete stack proposal and how I’d structure the parsing and justification layer.

@neetus813

I’m excited about the opportunity to develop your website and application. With a strong focus on performance, user experience, and scalability, I can deliver a modern, secure, and high-performing digital solution tailored specifically to your business goals. ? Why Choose Me? ✅ Custom Design & Development – Unique, brand-focused UI/UX (not generic templates) ✅ Responsive & Mobile-First Approach – Perfect performance across all devices ✅ Scalable Architecture – Built to grow with your business ✅ SEO & Performance Optimized – Fast loading, search-engine friendly ✅ Secure & Reliable – Best practices in data protection and security ✅ Ongoing Support – Maintenance & future upgrades available ?️ My Development Process Requirement Analysis & Planning Understanding your goals, target audience, and business needs UI/UX Design Wireframes & prototypes Clean, modern, and conversion-focused design Development

@yousefwael2002

Hi, Quick question: What’s the main challenge you're seeing right now with building the Agent? I'm Yousef Wael— a Biomedical Software Engineer based in Cairo, Egypt. I specialize in helping businesses build AI agent that ease manual workflows and save time on repeated tasks, using Python and Automation. Running an AI Agent effectively comes down to a few key parts. Here's exactly how I can help: • Explore the data provided to ensure it will be well understood by the Agent • Train the Agent on the provided data • Test the Agent against samples to ensure accuracy I do have a few quick questions that'll help me better understand where you are right now. Would it be easier to chat here, or are you open to hopping on a quick 15-minute call? Best, Yousef Wael