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Development of a Scalable Appointment Scheduling System for Healthcare Organizations
  1. case
  2. Development of a Scalable Appointment Scheduling System for Healthcare Organizations

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Development of a Scalable Appointment Scheduling System for Healthcare Organizations

altoroslabs.com
Medical

Challenges with Existing Appointment Scheduling

The existing manual appointment scheduling process, relying on phone calls and spreadsheets, is inefficient, time-consuming, prone to errors, and struggles to handle the increasing volume of biannual checkups for corporate employees. This hinders the ward's ability to provide high-quality service, manage staff effectively, and scale to accommodate new clients.

About the Client

A Norwegian medical ward providing a range of healthcare services, specializing in corporate health checkups for employees of various companies. Focused on scalability and efficient appointment management.

Project Goals

  • Automate the entire appointment scheduling process for corporate health checkups.
  • Enable seamless integration with external company employee lists.
  • Provide a user-friendly interface for medical staff to manage schedules and doctor availability.
  • Ensure GDPR compliance in data handling and consent management.
  • Enable scalability to support a growing number of corporate clients and patients.
  • Facilitate reporting and analytics on appointment data.

System Functionality

  • Automated appointment scheduling based on doctor availability and patient preferences.
  • Bulk employee upload functionality for corporate clients.
  • Doctor schedule management (vacations, sick leave, availability).
  • Patient notification system (email, SMS).
  • Consent management for GDPR compliance.
  • Report generation for doctors and corporate administrators (appointment statistics).
  • Rescheduling functionality for both patients and doctors.

Technology Preferences

Web-based application
Amazon Lightsail (for scalability)
Amazon Simple Email Service (SES) for notifications

External Integrations

  • Potential integration with HR systems for employee data (future phase).

Non-Functional Requirements

  • High Scalability (support 750,000+ patients).
  • Data Security (GDPR compliance).
  • Performance (fast response times).
  • Reliability (high availability).
  • Usability (intuitive interface for both medical staff and patients).

Expected Business Impact

Successful implementation will significantly improve operational efficiency, reduce manual effort, minimize errors, enhance customer satisfaction, and enable the ward to expand its business by attracting more corporate clients and potentially offering the system as a white-label solution. The system will also contribute to better resource allocation and improved reporting capabilities.

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