Case Study

Horizon Care: A Secure & Compliance-Oriented Digital Platform for Respite Care Operations

Client

Industry

Region

USA

Overview

Care Coordination, an in-home respite care agency based in Pasadena, California, delivers services to children, adolescents, and adults with autism and other developmental disabilities. As the agency scaled, its operational workflows relied on manual processes and fragmented systems for timesheets, document handling, and reporting—introducing risks related to data consistency, access control, and governance of sensitive personal and health-related information.

Prime Horizon developed Horizon Care, a secure, cloud-based operational platform designed with healthcare data protection principles in mind. The system centralizes timesheet management, document intake, reporting, and role-based access within a controlled environment. Horizon Care improves oversight of sensitive data, enforces structured workflows, and provides auditable operational visibility, supporting privacy-conscious operations aligned with HIPAA- and GDPR-informed practices.

Security & Compliance Considerations

Role-based access controls to ensure users only access data relevant to their responsibilities
Encrypted authentication and secure data transmission across workflows
Controlled document ingestion and standardized storage to reduce data exposure risks
Centralized data handling to support traceability, audit readiness, and governance
Cloud-native infrastructure aligned with healthcare data protection best practices

Technologies Used

Java Script

Python

React

Dot Net

Tailwind CSS

Ant Design

Microsoft SQL Server

Microsoft Azure

Google Cloud Platform

Azure Pipelines

xUnit

Jira

Balsamiq

Challenges & Solutions

Challenges

1. Manual Handling of Sensitive Timesheet and Care Documentation

Manual document uploads and timesheet submissions increased the risk of inconsistent data handling, errors, and limited traceability.

2. Fragmented Systems with Limited Access Control

Operational data was spread across disconnected tools, making it difficult to enforce consistent access policies and maintain oversight.

3. Uncontrolled Document Intake and Storage

Unstructured document uploads lacked automated classification and governance.

4. Limited Operational Visibility and Audit Readiness

The agency lacked timely, structured insights into service utilization, approvals, and payroll alignment.

Compliance-Aligned Solutions

A structured, role-based digital workflow was implemented for timesheets and supporting documents. Azure Document Intelligence automatically classified and extracted data from PDFs, while standardized document generation with barcodes and digital signatures ensured consistency, traceability, and controlled data handling.
Horizon Care consolidated all workflows into a single, secure platform with clearly defined user roles. Each role accessed purpose-specific dashboards, enabling controlled visibility while supporting operational transparency
A serverless ingestion pipeline automatically captured uploaded documents, while a custom-trained Azure Document Intelligence model classified document types and extracted key fields. This ensured structured storage, consistent handling, and scalability without compromising data control.
Power BI dashboards were embedded into the platform, driven by structured datasets generated through automated ETL pipelines. This enabled near real-time visibility into operational KPIs, timesheet status, and payroll mapping—supporting audit readiness and informed oversight.

Measurable Results

45% Improvement in Operational Efficiency

Automation across timesheet approvals, document intake, and data reconciliation reduced administrative workload and shortened processing cycles.

60% Reduction in Manual Data Entry Time

Automated document classification, extraction, and ETL workflows replaced manual PDF and payment record processing.

70% Decrease in Errors in Timesheet and Document Handling

Protect important workflows with appropriate access controls, transparent audit trails and secure engineering practices. Security requirements inform architecture from the beginning.

Team Involvement

Resources	Count
Backend Developers	2
Frontend Developers	1
AI Engineer	1
Designer	1
SQA	1
Project Management	Client-side project managers ensured alignment with operational and compliance requirements

Core Features of the Software

Secure Authentication & Controlled Access

Encrypted login workflows and role-based permissions protect sensitive caregiver and client data.

Automated, Governed Document Processing

AI-driven classification and structured storage reduce manual handling of sensitive documents.

Digitized Timesheet & Approval Workflows

Secure submission, approval, and payroll mapping workflows improve traceability and consistency.

Centralized Reporting & Audit Visibility

Real-time dashboards provide transparent views into operational data and approvals.

Serverless, Secure ETL Pipelines

Automated data transformation supports integrity and consistency across systems.

Cloud-Native, Scalable Architecture

Designed for secure scaling as service volume and organizational needs grow.

Development Timeline

Discovery & Compliance Planning

2 weeks

UX/UI Design

3 weeks

MVP Development

3 months

Testing and Quality Assurance

Conducted after each sprint

Future Roadmap

Protect important workflows with appropriate access controls, transparent audit trails and secure engineering practices. Security requirements inform architecture from the beginning.

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