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Development of Scalable Post-Acute Care Management Platform with Customizable Workflows and Analytics
  1. case
  2. Development of Scalable Post-Acute Care Management Platform with Customizable Workflows and Analytics

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Development of Scalable Post-Acute Care Management Platform with Customizable Workflows and Analytics

hatchworks.com
Medical
Information Technology
Health & Fitness

Key Challenges in Care Management Workflow Automation

Need to align evolving organizational workflows with a digital solution that accommodates multiple user types (nurses, managers, administrators), supports customizable care pathways, and ensures measurable improvements in patient outcomes while maintaining compliance with healthcare regulations.

About the Client

A technology-enabled care coordination and management company focusing on patient-centered clinical solutions, data analytics, and advisory services for value-based care delivery.

Primary Objectives for MVP Development

  • Design user-centric workflows for diverse care management roles
  • Achieve 10-25% reductions in care costs, length of stay, and readmission rates
  • Create a scalable platform adaptable to varying contract requirements
  • Develop training and business development tools via interactive prototypes

Core System Functionalities and Features

  • Role-based secure authentication
  • Customizable workflow engine for care pathways
  • Real-time task prioritization for clinical staff
  • Analytics dashboard for outcome metrics
  • Integration with EHR/EMR systems
  • Configurable reporting tools for administrators

Technology Stack Preferences

React.js
Node.js
AWS Cloud
MongoDB

Critical System Integrations

  • Electronic Health Record (EHR) systems
  • HL7/FHIR data exchange protocols
  • Third-party analytics platforms
  • Telehealth service APIs

Non-Functional Requirements

  • HIPAA-compliant data security
  • Horizontal scalability for 10k+ concurrent users
  • 99.9% system uptime SLA
  • Cross-device compatibility (desktop/mobile/tablet)
  • Response time <2s for critical transactions

Expected Business and Clinical Impact

Implementation of this platform is projected to reduce healthcare delivery costs by 10-15%, improve care coordination efficiency through automated workflows, enhance patient outcomes via data-driven decision support, and enable value-based reimbursement model adoption through comprehensive outcome tracking.

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