Folio3

Care Delivery Platform for Improved Capacity

Jaan Health

Case study on an intelligent care delivery platform for patient management, improving care coordination, & AI-powered recovery plans for capacity optimization.

Care Delivery Platform with 10X Patient Handling Capacity

Client/Industry

Specialized Patient Care Management and Quality Care Delivery

Enhancements

  • 5x increase in Caregiver Capacity via Automation
  • AI-Backed Triage & Communication Tools
  • Care Plan Creation with Goals and Progress Tracking
  • Seamless Appointment Scheduling

Services

  • Custom Web-App Development
  • AI Integration for Smarter Workflows
  • End-to-End Platform Implementation
  • Seamless EHR Integration

Tech Stack

  • Ruby & Rails
  • Vue.js for Frontend

Project Overview:

Automating Primary & Chronic Care for 1000s of Patients

Challenges: Manual Processes Holding Back Care Delivery

The manual workflows in healthcare lead to inefficiencies that hinder timely care and burn out valuable resources. The reliance on the old-fashioned ways of care delivery led to significant patient backlogs and brought communication into shambles. The summary of major challenges that client faced are as follows:

Care Delivery Platform for Improved Capacity
Care Delivery Platform for Improved Capacity
Care Delivery Platform for Improved Capacity
Care Delivery Platform for Improved Capacity
Care Delivery Platform for Improved Capacity
Care Delivery Platform for Improved Capacity
Care Delivery Platform for Improved Capacity
Care Delivery Platform for Improved Capacity

Solutions: A Centralized Care Coordination Platform for Efficient Care Delivery

Folio3 Digital Health built and implemented a comprehensive care coordination solution that brings patients and providers under one platform to cater to client’s problems. The key features and solutions included:

Automated Patient Management

  • Centralized Patient List: Care providers have access to the dynamic list of patients, tagged with their risk level to create care plans based on priority stages.
  • Cohort Segmentation: Patients are segregated into groups (e.g., chronic condition cohorts, frequent ER visitors, or age-based cohorts, etc.) for targeted care.
  • Scalability: Enabled 1 caregiver to manage 500 patients (10x increase in capacity).
Automated Patient Management
Care Plan Automation

Care Plan Automation

  • Goal Setting: Extraction of health concerns from the database and formation of recovery goals using AI.
  • Task Management: Assigning tasks to providers and patients related to follow-ups and medication adherence respectively.
  • Progress Monitoring: Real-time tracking of the patient’s progress with amendments made to the care plans when necessary.

AI-Powered Communication

  • Triage System: Text messaging is tagged with colors highlighting emergency, urgent and routine cases to prioritize responses.
  • AI-Suggested Questions: AI generated pre-consultation questions for convenient patient-provider interactions.
AI-Powered Communication

Business Outcomes

30% → 50%

Eligible Patient Yield

More Billable Patients, Same Populations

Eligible Patient Yield rose from 30% to 50%

Enterprise

Grade Compliance Readiness

Cleared To Sell To Large Health Systems

Reached enterprise-grade compliance readiness.

5x

Patient Capacity per care manager

Scale Without linear headcount

5x increased capacity, from 500 to 2,500 patients

66%

Less time Spent on Care Planning

Time back for real patient care

66% less time per patient, from 15 minutes to 5 

Daily

Production Deployments

From quarterly stress to daily shipping

From quarterly releases to daily deployments

1 Hour

Partner Onboarding

New partners are ready in hours

Onboarding from 2 weeks to 1 hr for 30,000 records 

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