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Secure Custom Web Database for Patient Data Management and Analysis

vokke.com.au

Medical

Health & Fitness

Business services

Challenges with Legacy Systems in Managing Complex Patient Data

Legacy FileMaker solution caused slow, error-prone data management with severe technical limitations. Lack of reporting capabilities, insecure data storage, and inability to scale with growing patient volumes (thousands of records with complex diagnostic criteria, payment details, referrals, and supporting documents).

About the Client

Leading neuropsychology practice providing medicolegal, forensic, diagnostic, and cognitive assessment services across diverse age groups

Objectives for Implementing a Custom Web Database

Replace legacy system with secure, scalable cloud-based solution
Automate data entry and analysis workflows
Enable secure multi-user access with data integrity controls
Implement real-time reporting and cohort analysis capabilities
Ensure seamless migration of historical records without operational disruption

Core System Functionalities and Key Features

Role-based user authentication and access control
End-to-end encryption (data-in-transit and at-rest)
Automated legacy data migration framework
Intuitive UI for diagnostic data entry and management
Real-time cohort reporting with customizable filters
Document management with version control
Audit trails for compliance tracking

Technology Stack Requirements

Cloud-native architecture (AWS/Azure)

Web framework (React/Node.js)

Relational database (PostgreSQL)

Encryption standards (AES-256, TLS 1.3)

System Integration Needs

Legacy FileMaker database
Third-party document storage
Payment processing APIs

Critical Non-Functional Requirements

Bank-grade security compliance (PCI-DSS)
99.9% system uptime SLA
Horizontal scalability for 10k+ concurrent users
Sub-second query response times
Data integrity locking mechanisms

Expected Business Impact of the Custom Web Database

Enables secure, efficient management of thousands of patient records with real-time analytics capabilities. Reduces administrative overhead by 40%, improves diagnostic accuracy through automated workflows, and ensures compliance with healthcare data regulations. Provides strategic competitive advantage through customizable processes that align with clinical workflows.