Desktop Medicare Claim Scrutinizer

@vishal1145

Your fraud-detection logic will miss 30% of duplicate claims if you're only matching on claim ID and date. Medicare allows legitimate resubmissions with identical timestamps but different adjustment codes - your rule engine needs to distinguish between fraud and valid corrections or you'll drown auditors in false positives. Before architecting the validation pipeline, I need clarity on two constraints: What's your expected daily file volume - are we processing 50K claims once per week or 500K claims nightly? And do you already have licensed access to the NCCI edit tables and quarterly code updates, or does the budget include purchasing those datasets? Here's the architectural approach: - C# + WPFUI: Build a multi-threaded parser that processes 837 EDI segments in parallel while keeping the UI responsive, with real-time progress bars showing validation/coding/fraud stages independently. - SQLITE EMBEDDED DATABASE: Store CMS rule sets, ICD-10/CPT crosswalks, and NCCI edits locally so the app runs offline, with a JSON config file that lets users update code tables without recompiling. - PDF PARSING: Use iTextSharp to extract tabular claim data from scanned remittance forms, then normalize it into the same validation pipeline as 837 and CSV files. - FRAUD PATTERN DETECTION: Implement statistical outlier analysis using z-scores to flag providers billing 3+ standard deviations above peer averages for specific procedure codes, plus temporal clustering to catch impossible same-day service combinations. - RULE ENGINE: Design a plugin architecture where each validation rule is a separate class - users can disable specific checks via the dashboard and you can ship rule updates as DLL patches. I've built two similar healthcare audit systems for payer organizations processing 2M+ claims monthly. One reduced manual review time by 65% by surfacing only high-confidence fraud flags. Let's schedule a 20-minute call to walk through your test dataset and confirm the acceptance criteria before I start development.

@artakharutyun7

Hi, This project fits well with my experience building "data auditing tools, rule-based validation engines, and high-performance desktop applications" for structured data processing. I can develop a "standalone desktop application" that processes "837, CSV, and PDF claim files locally", parses each record, and performs the three required checks: "CMS claim validation, billing/coding verification, and fraud detection". The system will validate field formats and CMS requirements, cross-check "ICD-10, CPT, HCPCS, modifiers, and NCCI edits", and detect issues such as "duplicate billing, invalid service dates, upcoding patterns, and abnormal provider behavior". The application will include a "real-time dashboard showing processing progress" and generate detailed "CSV and PDF reports" listing flagged claims, violated rules, and suggested corrections. All validation rules and thresholds will be stored in a "human-readable rule database" so users can adjust checks without modifying the core code. Everything will run "fully offline". The processing engine will be optimized to handle "1,000+ claim records in under two minutes" as required. Deliverables include the "Windows installer, full source code with build instructions, rule database, and documentation with a short walkthrough video". I’m confident I can deliver a "fast, accurate, and maintainable claim auditing tool" for your workflow. Best regards, Artak

@usamae

I can build this in Python as a cross-platform desktop app (PyQt6 or Electron). Handles all three of your file types - 837 EDI parsing, CSV with pandas, PDF extraction - then runs your three check layers: CMS structural validation, ICD-10/CPT/HCPCS coding cross-reference, and the fraud detection patterns (dupes, impossible dates, upcoding trends). Dashboard shows real-time progress per batch, flagged records export to both CSV and PDF with category, rule breached, and suggested fix. Rule thresholds and toggle switches are all configurable locally - no internet dependency. I build data processing tools regularly and have worked with structured medical and financial datasets. The 1,000-line benchmark in under 2 minutes is easy to hit with Python. Happy to discuss the 837 EDI specifics and how I would structure the rule-set database if you want to talk through it first. - Usama

@technologybeach

With years of experience in Full Stack Development and Software Engineering, I can proudly state that I'm the perfect candidate for your Desktop Medicare Claim Scrutinizer project. Handling web and mobile app development projects, custom CMS, and ERP solutions has enhanced my skills to efficiently build scalable desktop applications. My technical proficiency with various languages and frameworks will ensure the delivery of a potent, reliable, and efficient software. In addition to building user-friendly interfaces that align with your branding needs, I've been deeply involved in integrating essential third-party APIs essential for this project - payments, SMS, social media, video APIs- establishing an extra layer of fraud detection capacity implemented by the solution. In terms of organization, my Agile Management and Version Control knowledge with Git makes me highly proficient in maintaining clean and organized source codes keeping them easily readable and scalable. Furthermore, I understand the importance of documentation intensely; the rule-set database in human-readable format for future edits along with the user guide and short video walkthrough would be top-notches based on my previous project experiences. Hire me and let's deliver the best quality software that completes your acceptance criteria within the stipulated timeframe!

@jesica46

Hello, I hope you’re having a great day. I reviewed your project and I would be happy to assist you with your Data Analysis needs. As a professional data analyst, my goal is to transform raw data into clear and meaningful insights that help clients understand their data and make better, data-driven decisions. I can help you clean and organize raw or unstructured data, perform accurate and detailed analysis, identify trends and patterns, and create professional charts, graphs, and dashboards. I will also provide a clear, well-structured report with actionable insights so that the results are easy to understand and useful for decision-making. I have experience working with tools such as Microsoft Excel, Google Sheets, Python, and Power BI, which allow me to analyze data efficiently and present the results in a professional and easy-to-understand format. I always focus on delivering high-quality and accurate work, maintaining clear communication with clients, ensuring fast and on-time delivery, and providing complete client satisfaction. I would love to learn more about your project. Could you please share the dataset and let me know what type of analysis or insights you are looking for? Once I review the details, I can start working immediately and deliver the results as quickly and accurately as possible. Thank you for your time and consideration. I look forward to working with you. Best regards,

@craigd43

With my extensive skills in both web development and data processing, I am confident that I am the right candidate to build the desktop Medicare claim scrutinizer you need. I have substantial experience working with programming languages such as C# which is crucial for this project as well as other languages like PHP and Node.js. My background in full-stack web development will be particularly advantageous for this project given that the software should function offline while ensuring real-time progress on a simple yet comprehensive dashboard and exporting detailed, organized reports. Data analysis and processing are also integral to this project, and I can assure you my solutions are scalable while being efficient enough to process large files within short periods of time. By integrating human-readability into rule-sets, it would be easier to maintain the database even after the delivery stage. Additionally, I have a strong focus on the end-user's perspective on intuitiveness and efficiency. During this project, it would ensure not only continuous evaluate of our progress but also ensure we come up with a functional desktop application that meets your specific needs perfectly. By choosing me you'll get a dedicated professional ready to work with you every step of the way ensuring we deliver beyond your expectations.

@ravichedwal

Yeah I have build like that desktop application before,so as i have read your Job description carefully so as i have some questions about that, when u are available here please text me .

@jagratip3

Hi there, I can develop a standalone desktop application to audit Medicare and Medicaid claim files exactly as you described. The app will process 837, CSV, or PDF batches, perform claim validation, billing/coding checks, and fraud detection entirely offline, and present results through a clear, real-time dashboard. The system will: • Validate every field against CMS specifications, flagging structural or data-type errors. • Cross-reference ICD-10, CPT, HCPCS, modifiers, and NCCI edits to detect under- or over-coding and incompatible code combinations. • Identify duplicate billing, impossible service dates, and statistically abnormal patterns for fraud detection. Users will be able to adjust rule thresholds, toggle checks, and export detailed CSV or PDF reports listing flagged lines, the rules breached, and suggested corrections. Everything will run locally with no internet dependency. Deliverables include: a compiled Windows installer (cross-platform optional), full source code with build instructions, a human-readable rules database for future updates, and a user guide with a brief video walkthrough. Performance will be verified by processing a 1,000-line sample in under two minutes while correctly identifying all seeded test errors. Quick clarification: do you prefer the rules database in a format like JSON, YAML, or SQLite for easy future editing, or do you have another preferred structure?

@alexnebo1123

Hello, I can build this as a fully offline desktop application that audits Medicare and Medicaid claim files locally, with fast parsing for 837, CSV, and PDF batches, structured validation, billing and coding checks, fraud detection, and clear exportable reports. I understand this needs to be practical and reliable, not just technically correct, so the focus will be accurate rule checking, strong performance, and a clean dashboard that shows progress in real time. I can deliver the installer, source code, human-readable rule database, build instructions, user guide, and walkthrough video, while keeping the system flexible so thresholds and individual checks can be adjusted without internet. Do you want this built as a Windows-first desktop app with the option to extend cross-platform later, or do you want cross-platform from the beginning? Let’s discuss detail via chat.

@Hemantt841

I see you need a standalone desktop application to audit Medicare and Medicaid claims with specific validation, billing, coding, and fraud detection checks. You want it to handle 837, CSV, and PDF files, running locally without internet access, which is a clear and focused requirement. Your project demands parsing complex batch files, running three distinct compliance checks, and delivering a detailed yet user-friendly dashboard and reports with export options. The ability to adjust rule thresholds and toggle checks highlights the need for a flexible, maintainable rule-set database and a smooth user experience. I’ve built desktop applications in C# that process large healthcare datasets, implementing complex validation and coding rules, including ICD-10 and CPT cross-references. I developed local fraud detection modules that flagged billing anomalies and generated comprehensive reports with export features, ensuring performance goals like processing large files quickly were met. I can deliver a fully functional Windows installer, source code, and documentation within three weeks. Let’s discuss how to tailor the rule-set and UI to your exact needs to ensure the application meets your performance and usability expectations.

@NEHABHAT92

With over nine years of experience in website and mobile app development, my team and I have the necessary skills to tackle your Desktop Medicare Claim Scrutinizer project. Our expertise lies in a broad range of technologies, including Android, iOS, Java, PHP, .NET, HTML5/CSS, and more. We have a vast understanding of both frontend and backend development which will greatly enhance the execution of your project. Not only do we understand the technical aspects of this project but we also appreciate the critical objectives you're aiming to achieve with this software. We can assure you that we're committed to delivering a solution that offers effective claim validation, accurate billing and coding checks, and efficient fraud detection. We'll create a user-friendly interface that allows for real-time monitoring of progress and generates detailed reports for easy analysis. In addition to our technical proficiency, our after-sale support will provide you peace of mind, knowing that any issues or updates regarding the ruleset database will be handled expediently. We are determined to go above and beyond to deliver a high-quality product that meets your expectations and ensures the acceptance criteria are not only met but exceeded. Do consider us for this project as we are ready to walk alongside you from ideas to reality!

@zeldac1

Hi there. I read that you want a standalone desktop app to audit Medicare/Medicaid claim files (837, CSV, PDFs) with three checks and real-time dashboard. A common snag is PDF batch parsing without reliable text extraction; plan for a robust parser layer that gracefully handles layout variations. Plan: - Build a local, rule-driven engine for validate, coding, and fraud checks with tunable thresholds - Real-time progress dashboard and reliable CSV/PDF export for reports - Comprehensive offline config with a human-readable rule-set database Similar project: I built a Medicare claim validator that processed 1,200 records/min with 99% correct flagging after threshold tuning. Result: faster audits and fewer false positives. Best regards, Thando

@ruslanfulldev

Having developed numerous applications and specialized in Python-based solutions throughout my career, I believe I'm uniquely qualified to take on your Desktop Medicare Claim Scrutinizer project. My expertise extends from backend development in Python frameworks like Django, FastAPI, Flask to efficient data automation and manipulation, making your project an ideal fit for my skill set. My clean, maintainable, and scalable coding approach ensures your tool will be highly-responsive. One aspect that makes me a standout candidate for your project is that not only can I deliver a polished final product (compiled desktop installer with clear build instructions), I believe in enabling clients like you to independently manage and grow their solutions; therefore, I would provide a detailed rule-set database for future updates as well as a comprehensive user guide with helpful video walkthroughs ensuring seamless usability. Working together on this project would be an honor - I warmly invite you to leverage my strong problem-solving skills and work ethics to optimize this critical tool for you.

@Shrutibimpl

Hello, I will develop a high performance desktop application using a popular cross platform framework to handle the parsing of claim batches. I will implement a local data processing engine to validate fields against official standards and run complex cross reference checks for medical coding. To detect fraud and billing errors, I will build an offline rule based system that analyzes patterns without requiring an internet connection. The application will include a clean dashboard for real time monitoring and a reporting module for exporting detailed results. I will ensure all thresholds and check toggles are easily adjustable through a local configuration interface. 1) Which specific desktop operating system is the primary target for this application? 2) Do you have a local database of the latest ICD 10 and CPT codes for the initial integration? 3) Are there specific fraud patterns beyond duplicates and upcoding that I should prioritize? Thanks, Bharat

@AdriaanP

I will develop a standalone desktop app that efficiently audits Medicare and Medicaid claim files offline. The software will support 837, CSV, and PDF batches, performing claim validation, billing and coding checks, and fraud detection through customizable rules. A real-time dashboard and detailed exportable reports will help users track flagged issues with clear explanations and suggestions. The deliverables include a Windows installer, accessible source code with build instructions, a human-readable rule database, and comprehensive user documentation including a video walkthrough. The application will meet your performance goal by processing 1,000-line files in under two minutes while accurately detecting test errors. I would love to chat more about your project! Regards, Adriaan Potgieter.

@awanafnan17

Hi, I can build your Medicare claim auditing desktop application, but need to clarify scope vs timeline/budget. TECHNICAL APPROACH: File Processing: - Parse 837 EDI, CSV, and PDF claim files - Extract claim records and field data - Handle large batches efficiently Validation Modules: 1. Claim Validation Engine - CMS specification compliance checks - Field-level data type validation - Structural integrity verification - Auto-rejection of non-compliant records 2. Billing & Coding Checks - ICD-10 diagnosis code validation - CPT/HCPCS procedure code verification - Modifier combination rules - NCCI edit checks (code pair conflicts) - Under-coding/over-coding detection 3. Fraud Detection - Duplicate billing identification - Service date validation - Upcoding pattern analysis - Provider behavior anomaly detection Dashboard & Reporting: - Real-time processing progress - Flagged claims summary - Detailed CSV/PDF reports - Rule breach categorization - Suggested corrections Configuration: - Adjustable rule thresholds - Toggle individual checks - Offline operation (no internet required) - Rule-set database (editable format) DELIVERABLES: - Windows desktop installer - Source code with build instructions - Rule-set database - User guide and video walkthrough CRITICAL SCOPE CONCERN: This is enterprise healthcare compliance software requiring: - Deep Medicare/Medicaid regulatory knowledge - Current CMS specifications