Advanced scheduling solution for hospitals

Advanced scheduling solution for hospitals

Client
Project is under NDA
Domain
Healthcare
Healthcare
USA
country
USA
10
Team involved

1 Business analyst

1 Project Manager

4 Full-stack engineer

2 Front End

3 QA

Story

Over the past 10+ years, we have built and matured an extremely sophisticated physician scheduling application, and Gera-IT has been a key development partner from the beginning. Some of the key resources are viewed as part of our core team, and have been instrumental in helping us develop and support the application. During major initiatives, Gera has been able to help us scale up the team temporarily so that we could meet our goals in the desired timeframe. They understand the priorities within our business, and aren't afraid to work hard when an extra effort is needed.

Sean

Founder of
Scheduling Solutions for Hospitals (NDA)

Project Activities

Back End
Back End
Front End
Front End
Business Analysis
Business Analysis
QA
QA
Management
Management

Technologies and Integrations

resque
redis
Ruby on rails
Ruby
DBMS
MySQL
PostgreSQL
rabbitmq
OpenAPI 3+
JSON:API
JWT
gRPC
Microservices
jQuery
CoffeeScript
Backbone
TypeScript
React.js
NodeJS
RSpec
capybara
Webmock
Selenium
Docker
Docker-Compose
Kubernetes


Our Scheduling Solution for Hospitals, developed by the dedicated Gera-IT team since 2010, stands as a testament to our enduring commitment to healthcare excellence.

Project Overview:

At its core, this web-based scheduling system represents a tool for human resource deployment within the complex area of hospital operations. It has been designed to optimize the work schedules and calendars required by large healthcare organizations with diverse and specialized workforces. Significant advantages are managing scheduling across multiple departments simultaneously and in successive phases.

Key Features:

The magic behind the Scheduling Solution lies in leveraging technology and advanced scheduling algorithms. These elements combine to save precious time and eliminate the risk of manual errors. Here are some of the features that clients find most invaluable:

  • Rule Customization: Users can effortlessly set general and custom rules for scheduling alongside personal preferences, holidays, vacations, and days off. This flexibility ensures that the system adapts to the unique needs of each healthcare institution.
  • Self-Scheduling: Empowering healthcare professionals to select their duty shifts enhances flexibility. It also fosters a sense of ownership over their work schedules.
  • Hours and Overtime Tracking: Our system provides real-time monitoring of working hours, thereby preventing overtime while guaranteeing compliance with labor laws.
  • Breaks and Lunch-Time Tracking: Notifications are built into the system to ensure that breaks and lunchtimes are taken as scheduled, contributing to staff well-being.
  • Team Scheduling: When specific individuals need to work together, our system simplifies this process, ensuring optimal teamwork and collaboration.
  • Continuity of care: This approach ensures that the patient-centered care team is cooperatively involved in ongoing healthcare management. Continuity of care helps to support the relationship between a patient and the clinical team, and gives patients more confidence and comfort. In the scheduling it means priority to assign caregivers to the same patients.
  • Property Management: The software extends beyond scheduling to manage resources such as reserving surgery rooms for specific teams.
  • Multi-role Access: Currently, 8 levels with different functions are available to each role.
  • HIPAA compliance: The software ensures the confidentiality, integrity, and availability of all Protected Health Information according to the rules.

Uniqueness and Market Presence:

What sets our project apart is the automated and dynamic scheduling with flexible rules and other features. Remarkably, there has been no comparable application in the market for over a decade. Our solution fills a niche that no other software has dared to explore.

Challenges:

The most significant challenge we've encountered in this project is the need for high-speed data processing, similar to handling Big Data. As healthcare scheduling means operating vast volumes of rules, preferences, and employees, our system has been engineered to perform effortlessly under these substantial loads. So, the whole process of creating schedules for hundreds of clinic team members takes just minutes.

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