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Development of a Secure Mobile Application for Streamlining Clinical Laboratory Workflows and Patient Data Management

effectivesoft.com

Medical

Healthcare Services

Current Challenges in Clinical Data Management

The client faces inefficiencies due to paper-based processes and outdated desktop systems, leading to delayed access to patient data, reduced staff productivity, and potential errors in diagnosis/treatment due to fragmented information.

About the Client

A healthcare provider offering clinical laboratory services and hospital care, seeking digital transformation of operational workflows.

Key Project Goals

Replace manual processes with a centralized digital solution
Enable real-time access to patient test results and medical history
Improve diagnostic accuracy and treatment planning through data visualization
Enhance security for sensitive patient information
Increase healthcare staff productivity through mobile accessibility

Core System Functionalities

Secure user authentication and role-based access control
Patient database with demographic filtering (name, gender, birth date)
Prescription management linked to diagnostic tests
Interactive trend graphs for longitudinal test result analysis
PDF export functionality for test results
Customizable display settings and multi-account management

Technology Stack Requirements

iOS platform development

AFNetworking for API communication

Fabric for analytics and crash reporting

CoreDataORM for local data persistence

iOSCharts library for data visualization

System Integration Needs

Hospital central database synchronization
Existing electronic health record (EHR) systems
Clinical laboratory information systems (LIS)

Non-Functional Requirements

HIPAA-compliant data security measures
Offline functionality with sync capabilities
High-performance data visualization rendering
Scalable architecture for future feature expansion
Intuitive user interface for medical professionals

Expected Business Outcomes

Implementation of this solution will enable faster clinical decision-making through immediate access to structured patient data, reduce administrative overhead by eliminating paper workflows, improve diagnostic accuracy via visual trend analysis, and ultimately enhance patient outcomes through more timely and informed treatment interventions.