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Ai-Driven Healthcare Appointment Management Platform

Publicado em 02 de Maio de 2025 dias na TI e Programação

Sobre este projeto

Aberto

Web and mobile platform using ai and nlp to optimize medical appointment scheduling, reduce cancellations, and boost attendance, with multi-role access for professionals, patients, assistants, and admins.

Contexto Geral do Projeto

Objective: Create a multi-role scheduling system in the replit platform with ai-driven optimization for medical appointments, targeting 30% reduction in cancellations and 40% improvement in attendance conversions. **Key Features:** **Four-Panel Interface** - Healthcare professional dashboard with calendar sync - Patient portal with AI-guided rescheduling - Assistant coordination module - Admin control center for analytics **ai/ml integration** - nlp chatbot for appointment confirmation/reminders - predictive no-show algorithm using historical data - automated waitlist management **scalable architecture** - microservices design for regional/global deployment - api gateway for ehr/insurance integrations - blockchain-based audit trail (sha-256 hashing) **integration points** - twilio/sendgrid for communication apis - google calendar/microsoft outlook sync - stripe/paypal payment processing - hl7/fhir for ehr compatibility **essential skills** full-stack development experience ai/ml implementation portfolio healthcare it compliance knowledge (hipaa/gdpr) cloud deployment expertise (google/aws/azure) **preferred qualifications** blockchain development experience previous healthcare saas projects multi-language support implementation ## why this project? 1. **Proven Demand:** Online medical booking systems show 200% YOY growth 2. **Tech Leverage:** Combines mature scheduling patterns with cutting-edge AI 3. **Scalable Model:** Modular architecture allows regional customization 4. **Existing Foundation:** REPLIT prototypes accelerate development *"The proposed system could reduce administrative workload by 60% while improving patient retention through AI personalization."* Interested freelancers should submit, preferably: 1. Healthcare project portfolio 2. API integration case studies 3. Proposed architecture diagram 4. Data security approach

Categoria TI e Programação
Subcategoria Inteligência Artificial
Tamanho do projeto Grande
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