Case Study

A Modern Web Application to Manage Patient No-shows and Late Shows

A top healthcare provider automates patient appointment management processes to deliver better value in care.

A leading global healthcare organization builds a web application to automate and optimize its patient appointment management processes for improved operational efficiencies, resource utilization, decision-making, quality of care, and cost savings.
Industry & Region: Healthcare, APAC
Technology Stack:
Cloud Computing Platform: AWS, App Development Platform: .NET, Data Ingestion: Confluent, Real-time Data Streaming: KSQL, Multiprocessing: Python, JavaScript Library: React
Client Overview
Our Singapore-based client is a global integrated healthcare provider, committed to delivering value through their international network of hospitals and embracing future trends for lasting stakeholder benefits.
Business Challenge
Our client was facing significant challenges with planning and handling patient appointments. Due to this, their patient no-show rates had touched 20% and their patient late-show rates were at 15%. There were difficulties in managing physician schedules, which resulted in an uneven distribution of patient appointments. Long wait times impacted patient experiences. All in all, these redundancies in the hospital’s current appointment scheduling practices were causing numerous operational inefficiencies, impairing resource optimization, decision-making, quality of care, and cost saving.
Solution Offered
Our team built a comprehensive appointment scheduling web application with AI and data analytics capabilities to streamline the various patient management processes. The new interface automated patient registrations. Users could easily choose from the available slots at their convenience and book their appointments. The application was integrated with predictive analytics capabilities to predict average waiting times and automatically waitlist patients. The AI algorithms embedded into the application could also predict patient no-shows and late arrivals, significantly reducing the instances of missed appointments. This ensured efficient use of resources by promptly confirming patients on the waiting list in case of a no-show and optimizing the utilization of physician time.
Value Delivered
  • Saved costs significantly due to better resource utilization and optimized appointment scheduling.
  • Improved patient experiences through increased efficiencies, shorter wait times, and easier access to care.
  • Enhanced physician experience through effective distribution of patient appointments and informed decision-making.

Want to leverage a modern appointment management solution to address the challenge of patient no-shows and  late shows in your healthcare business?

A Modern Web Application to Manage Patient No-shows and Late Shows