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Velosio: Just What the Doctor Ordered for Yale-New Haven Hospital Data Challenge
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Business Operation
- Quality Assurance
Use Cases
- Predictive Maintenance
- Remote Collaboration
- Remote Patient Monitoring
Services
- Software Design & Engineering Services
- System Integration
The Challenge
Yale-New Haven Hospital (YNHH), a non-profit world-class medical center, aimed to become a destination hospital in the Northeast. To achieve this growth objective, YNHH needed to increase its operational efficiency and prestige by attracting more patient referrals and transfers. The challenges included the complexity of the transfer process involving numerous doctors, nurses, administrators, and multiple data systems for each individual case. Additionally, there was a lack of a real-time centralized method for managing, tracking, and communicating during the transfer process. Insufficient resources and ineffective processes further compounded the problem.
About The Customer
Yale New Haven Hospital (YNHH) is a comprehensive, multidisciplinary, family-focused healthcare provider located in New Haven, CN. It relies on the expertise of over 4,500 university and community physicians and advanced practitioners, including more than 600 resident physicians. As the primary teaching hospital for Yale School of Medicine (YSM), YNHH offers care in over 100 medical specialty areas. The hospital's medical staff is supported by supervised physician residents and fellows who provide around-the-clock coverage and research-supported patient care. YNHH aims to deliver high-quality healthcare services and is committed to operational efficiency and growth.
The Solution
Velosio partnered with YNHH to implement Microsoft Dynamics CRM Online, a feature-rich and easy-to-use CRM application. This solution was chosen for its scalability and ability to be implemented within a short time frame. The implementation included customization and configuration to meet the specific needs of the life science and healthcare industries. Various data repositories and the phone system were integrated into a centralized system to manage the life cycle of transfer cases. Dashboards and key performance indicators were created to provide real-time visibility of patient transfer status, bed assignment, and acceptance rates.
Operational Impact
Quantitative Benefit
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