Full-stack clinical dashboards built with Next.js — EHR systems, AI-powered data parsing, AI clinical assistants, DICOM radiology viewers, appointment scheduling, patient portals, and real-time analytics across specialties including hemodialysis management, neurology, cardiology, oncology, ICU monitoring, and pharmacy workflows. Production-ready, HIPAA-aware, and designed for real clinical environments.
Core Capabilities
Every module is purpose-built for real medical workflows — not generic admin panel templates with a stethoscope slapped on them.
Complete CRUD for patients with demographics, medical history, diagnoses, physical exams, family/social history, and role-based access (Doctor, Nurse, Admin). Add patients manually or via AI file parsing.
Interactive dashboards with KPI cards, trend lines, bar/area charts, and cohort breakdowns. Visualize admissions, lab trends, complication rates, and session statistics — all with smooth animations.
Upload lab reports, Patient documents — AI extracts structured patient data, flags critical values, and suggests follow-up actions. Chat with an AI assistant about the document in real time. Supports PDF, DOCX, and image files.
View DICOM files and online radiology studies directly in the browser with a dedicated imaging tab. Includes 3D reconstruction support for CT/MRI scans, plus structured clinical findings tied to each image.
Structured lab result tables with automated severity indicators — Normal, Low, High, and Critical — highlighted with color-coded badges. Track trends over time and filter by parameter or date range.
Full-featured rich text editor (Tiptap-based) for clinical notes, daily rounds, discharge summaries, and referral letters — with bold, tables, lists, and templates. A floating Quick Note button for rapid updates.
Machine and room scheduling across specialties — dialysis chairs, OR tables, imaging suites, infusion bays, and therapy rooms — with live availability tracking, anti-double-booking logic, and shift management. Real-time occupancy view for the entire unit floor.
Built with Supabase (PostgreSQL) for cloud sync and Prisma ORM for local/offline-capable data access. Domain-Driven Design architecture ensures clean, scalable, maintainable codebases.
Role-based access control with custom permissions for each staff type (Admin, Doctor, Nurse, Technician, Receptionist). Immutable audit logs for every CREATE, UPDATE, DELETE, and VIEW action — HIPAA-aware.
Track medical supplies (medications, consumables, etc) by SKU, quantity, and expiry date. Automated reorder alerts when stock falls below threshold — keeps clinics running without surprises.
Node-based flowchart editor (React Flow) to visually map and communicate complex treatment pathways, clinical decision trees, and care protocols — perfect for stroke, oncology, and dialysis workflows.
Framer Motion transitions, Lottie animations, responsive layouts that adapt from mobile to 4K, toast notifications, skeleton loaders, and dark/light mode out of the box — the kind of polish clients notice.
Department Specialties
We have delivered complete apps for many medical specialties — and can build for any department with domain knowledge baked in.
A full clinical dashboard purpose-built for neurology and stroke units. Handles complex patient profiles including consciousness scales (GCS, lethargy, stupor, coma), imaging-linked clinical findings, and visual treatment flowcharts.
A comprehensive renal EMR and center operations platform — Nephrocare. Manages the full lifecycle of a dialysis session from pre-assessment to post-session notes, while keeping the entire center organized.
The same architecture scales to any specialty. Whether you need an oncology EMR, a cardiology monitoring dashboard, a pediatric ward manager, or a pharmacy management system — We can build it with domain-accurate data models and workflows.
Tech Stack
I use the latest stable versions of the ecosystem's best tools. No legacy code, no jQuery, no Bootstrap templates.
Packages
All packages include clean code, responsive UI, and a handoff with documentation. Prices are starting points — complex scopes are quoted after a free consultation.
A foundational clinical interface with up to 8 core interactive pages. Focuses on essential patient data management with low complexity and standard EHR functions.
A comprehensive platform (12-15 pages) designed for advanced clinical workflows. Medium complexity with basic physical device integration.
High-complexity, department-grade clinical system with 15+ pages. Full integration with medical hardware and custom AI logic.
All prices in USD · Delivery times vary by scope — discussed before order · Revisions included in all packages
FAQ
Production quality only. I use TypeScript throughout, Zod for input validation, Domain-Driven Design architecture with Prisma for data models, and proper component separation. Code is commented, organized by feature, and deployable to Vercel or your hosting of choice out of the box.
Yes. I can connect to existing PostgreSQL/MySQL databases, REST APIs, HL7 FHIR endpoints, or Supabase projects. Share your API docs or DB schema before ordering and I'll confirm compatibility and any additional scope required.
Yes. The AI parser is trained via prompt engineering on your specific document formats — lab report templates, discharge summary layouts, referral letter structures. You provide sample documents; I configure the extraction pipeline to match your data model fields precisely.
I'm a licensed physician with hands-on clinical experience in ICU, neurology, oncology, and nephrology — and a full-stack developer with a strong foundation in biomedical engineering, web development, and AI. The clinical domain knowledge is baked in, which means I build tools that reflect real workflows, not assumptions. The result is software that is clinically accurate, developer-grade, and production-ready from day one.
You receive the full Next.js source code via a private GitHub repository or ZIP file, a README with setup instructions and environment variable guide, and a live Vercel deployment for preview. All work is yours — no lock-in, no licensing fees.
Absolutely. The DICOM module (built on Cornerstone.js / Cornerstone3D) can be added as a standalone feature to any existing React/Next.js application. It supports both local DICOM file uploads and remote WADO-URI/WADO-RS radiology endpoints. Mention this in your order requirements.