Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of a Proactive Patient Risk Management Dashboard with Automated Prioritization and Clinical Recommendations
  1. case
  2. Development of a Proactive Patient Risk Management Dashboard with Automated Prioritization and Clinical Recommendations

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of a Proactive Patient Risk Management Dashboard with Automated Prioritization and Clinical Recommendations

effectivesoft.com
Medical
Healthcare
Information technology

Challenges in Proactive Patient Care Management

The client struggles with reactive patient care models that lead to delayed interventions, inefficient resource allocation, and increased healthcare costs. Current systems lack automated risk stratification, actionable insights, and prioritization mechanisms for high-risk patients, resulting in excessive administrative work and suboptimal clinical decision-making.

About the Client

A large healthcare provider operating a network of clinics nationwide, focused on transitioning from reactive to proactive patient care models

Goals for the Proactive Patient Management System

  • Enable proactive identification of high-risk patients through automated risk scoring
  • Improve patient outcomes by enabling early interventions
  • Reduce healthcare costs through preventive care strategies
  • Optimize clinical workflow efficiency by minimizing paperwork
  • Provide actionable, evidence-based treatment recommendations

Core System Capabilities

  • Automated risk detection using clinical and operational data sources
  • Dynamic patient prioritization algorithm based on urgency metrics
  • Evidence-based clinical recommendation engine
  • Customizable dashboard with interactive data visualization
  • Automated report generation and multi-channel distribution (email/PDF)
  • Configurable filtering and drill-down capabilities

Technology Stack Requirements

Power BI Builder
Python
Azure Data Factory
Azure SQL Database
Power Automate
Azure Event Grid

System Integration Requirements

  • Existing enterprise data warehouse
  • Electronic Medical Record (EMR) systems
  • Email communication platforms
  • PDF generation services
  • Clinical decision support systems

Operational Requirements

  • High availability with 99.9% uptime SLA
  • HIPAA-compliant data security measures
  • Scalable architecture for nationwide clinic expansion
  • Sub-second response time for dashboard interactions
  • Role-based access control with audit logging

Expected Impact on Healthcare Delivery and Operational Efficiency

The solution will enable 30% faster clinical decision-making through automated recommendations, reduce preventable hospitalizations by early interventions, and decrease administrative workload by 40% through automated reporting. Healthcare professionals will gain real-time visibility into patient risk profiles while maintaining 100% data compliance and security standards.

More from this Company

Development of a Web-Based Vessels Market Analytics Platform
Development of a Multi-Industry Task Management and Collaboration Platform
Modernization of Healthcare Communication Portal with Enhanced Collaboration and Workflow Features
Enterprise Virtual Care Platform Modernization and Scalability Enhancement
Development of a HIPAA-Compliant Optical Scanning Diagnostic Platform Console for Ocular Biomechanical Assessment