Ongoing – started in January 2026
Qualicode
Digitizing Medical Coding for French Healthcare Reimbursement
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Project Introduction
Qualicode helps French hospitals and clinics get reimbursed accurately by the national health insurance system, by managing the medical coding process: the detailed classification work that determines how much a healthcare provider is paid for each procedure.
Before working with ITSharkz, that process ran almost entirely through Excel, with lists of stays to code manually distributed to their medical coders, tracked by hand, with no shared visibility into status or progress. The platform handles only work lists, used to allocate stays to coders and to monitor and supervise their work. Medical records are never shared with it.
Qualicode came to ITSharkz for a dedicated team to replace that manual workflow with a purpose-built platform, one that could absorb inconsistent hospital work-list formats, assign work to coders automatically, and give both sides a shared, real-time view of every case.
Qualicode came to ITSharkz for a dedicated team to replace that manual workflow with a purpose-built platform, one that could absorb inconsistent hospital work-list formats, assign work to coders automatically, and give both sides a shared, real-time view of every case.
Technology Stack
Built to match Qualicode's internal technical standards and existing team expertise:
Frontend
Angular
Backend
NestJS
Database
Microsoft SQL Server
AI Layer
Anthropic Claude
Team & Project Scope
A dedicated ITSharkz squad worked directly with Qualicode’s internal technical team, operating with a high degree of autonomy against a broad, high-level brief.
Challenges:
- Replacing a fully manual, Excel-based process with no structured data model to build from
- Every partner hospital exports its work list (the stays to code) in a different Excel format, with inconsistent column naming and structure
- Understanding complex, non-technical domain logic (French medical reimbursement coding) well enough to make sound product decisions without a detailed spec
- Introducing AI into a regulated, accuracy-critical workflow without letting it touch the coding decisions that determine reimbursement
Solutions:
- Built a dedicated web platform to import, assign, track, and close out coding requests end to end, replacing Excel entirely
- Used Claude (Anthropic) to automatically map and unify inconsistent hospital work lists (Excel exports listing the stays to code, containing no medical data) on import, so coders always work from clean, structured work lists. The AI stays restricted to formatting, not coding. Only work lists go through the platform, never medical records.
- Added built-in messaging between coders and coordinators, replacing scattered email and Excel comment threads
- Ran demos roughly every three weeks against a general brief, letting the team make UX and workflow decisions directly and validate them live with Qualicode
- Delivered on the partner’s required stack (Angular, NestJS, SQL Server) rather than the team’s own default choices, prioritizing long-term maintainability for Qualicode’s internal team
Features & Capabilities
Import & Normalization Engine:
Ingests hospital work lists (Excel) in varying formats and structures them automatically using AI-assisted mapping.
Coder Assignment & Tracking:
Allocates work lists to coders and lets coordinators monitor and supervise their work, with full status visibility.
Coordinator-Coder Messaging:
Built-in communication tied directly to each case, replacing email back-and-forth.
Coder Observations & Automated Reporting:
Captures and standardizes coders’ observations on each coded stay, so coding reports and feedback to medical teams and the hospital’s DIM (medical information department) physician are automated.
Testimonials
What Our Partners Say
Goals & Outcomes
- Replaced a fully manual, Excel-based process with a structured, trackable digital workflow
- Gave coordinators real-time visibility into coding status across their entire coder network
- Removed the manual reformatting of hospital work lists using AI-assisted normalization
- Delivered the core platform within the agreed scope and budget
- Supports an estimated 10,000 medical codings processed through the platform each month
Conclusion
Qualicode’s shift away from Excel wasn’t about adding AI for its own sake. It was about giving coordinators and coders a shared, real-time view of work that used to live in scattered spreadsheets, and using AI for exactly one narrow task: turning inconsistent hospital work lists into something coders could actually use. Today the platform supports an estimated 10,000 medical codings a month, with every coding decision still made by a person. The engagement is ongoing, and the same dedicated team continues to work directly with Qualicode’s internal technical staff as the platform grows.
Watch our client’s video reviews
Nicolas Baudelot and Nicolas Massaviol – CEO and CTO at Medicalib
"With ITSharkz, we found a trusted partner, so we will continue working with them – and hopefully for a long time."
Tasks:
- Integrated government systems, implemented regulatory logic, and created a UI library.
Results:
- Integrated OpenID Connect, developed a quotation engine, and built a design system.
Carole Juge-Llewellyn – CEO and Founder of JOONE
"They really got involved in understanding what we do, how we do it, and were proactive. That’s something I’ve never seen elsewhere."
Tasks:
- Developed new subscription checkout, implemented client-facing management system, and migrated thousands of subscriptions.
Results:
- Launched Newcharge checkout, built a customer dashboard for subscription management, and successfully migrated subscriptions.
Georges Fornay and Franck Véga – CEO and CTO at Qobuz
"It was the right compromise for me: very skilled people, competitive rates, and a nearby location."
Tasks:
- Optimized backend, modernized desktop app, integrated cross-platform features (Qobuz Connect).
Results:
- Improved device support & app performance, boosted user retention, cut costs, and future-proofed systems.
Rémi Prévost – CTO at Happydemics
"ITSharkz isn't just in a headhunter position that gives you a profile and then you're on your own. They are truly in a process of accompaniment from the beginning to the end."
Tasks:
- Curating a dedicated squad of senior Ruby on Rails experts to solve the high-level talent gap for a French scale-up.
- Filling the positions with product-first mindset engineers, ensuring long-term alignment with internal engineering standards.
Results:
- Successfully integrated 4 senior developers into the product roadmap, eliminating "mercenary" turnover through a culture of ownership.
- Accelerated feature delivery while maintaining full CIR (R&D Tax Credit) compliance, providing a high-ROI strategic advantage.
Matthieu Derancourt – Medical Advisor at Pauchet Santé
"ITSharkz delivers a product that is truly near-complete, so we don't waste any time. It isn't designed by engineers, but really by the end-user."
Tasks:
- Industrializing complex hospital processes that had reached the limits of standard Office tools.
- Bridging the gap between medical strategy and technical execution to ensure software perfectly matches the clinical reality.
Results:
- Successfully deployed 3 mission-critical platforms with 90% operational readiness at the first delivery stage.
- Streamlined the development lifecycle using a Design-First approach, resulting in high user adoption.