Written by Softray team
Summary
Client: Leading U.S. based Healthcare Provider
Industry: Healthcare | Neonatal Intensive Care | Brain Monitoring
Reach: Nationwide – presence in all 50 states
Focus: Clinical excellence, neonatal care, and innovation in neuro-monitoring
Softray partnered with a leading U.S.-based healthcare provider recognized for its nationwide reach and dedication to clinical excellence. With a presence in all 50 states, the organization operates a broad network of hospitals, specialty centers, and neonatal intensive care units (NICUs), making it one of the most comprehensive healthcare systems in the country.
Collectively, this provider serves hundreds of thousands to over a million patients each year, both directly through its own facilities and indirectly through partnerships with affiliated healthcare organizations. Its scale and influence made it an ideal partner for advancing innovation in neuro-monitoring and neonatal brain health.
By delivering real-time visibility into critical neuro-monitoring data, our solution empowered NICU teams to stay fully informed during high-risk situations. This not only supported faster, more confident bedside decision-making, but also strengthened the provider’s ability to deliver proactive, brain-focused care at scale.
Goals
The hospital team aimed to:
- Improve access to consolidated brain health data
- Provide clinical staff with real-time situational awareness
- Reduce delays caused by manual monitoring processes
- Support more informed and faster decision-making
- Integrate seamlessly with existing systems and workflows
Challenges
Despite a strong clinical foundation, the healthcare provider faced several critical technical and operational roadblocks that impacted the speed and effectiveness of neonatal brain monitoring:
Siloed Data Across Legacy Systems
Neuro-monitoring data—including EEG signals, vitals, and observational inputs—was scattered across disconnected devices and outdated platforms. Clinicians lacked a unified view, forcing them to gather and interpret fragmented information during urgent clinical moments.
Manual Interpretation in Time-Critical Situations
With no real-time integration between data sources, clinicians had to manually review and correlate readings, often while managing highly dynamic patient conditions—leading to delays in recognizing early signs of neurological deterioration.
Outdated, Inflexible Technology Stack
The hospital’s existing systems were built on legacy architectures that were neither secure nor responsive enough for modern, high-performance clinical environments. These systems struggled with latency, lacked scalability, and posed long-term maintenance challenges.
Non-Scalable Infrastructure with Limited Extensibility
Expansion to additional NICUs and facilities was hindered by monolithic design and on-premises constraints. Scaling required significant manual configuration and lacked the agility to adapt to growing patient volumes or operational demands.
Information Overload Without Intelligent Filtering
Clinicians were overwhelmed with data but lacked tools to filter or prioritize critical events. Static interfaces and non-configurable displays made it difficult to surface the right insights at the right time.
Security and Compliance Gaps
Legacy systems fell short of current healthcare IT security expectations. There was no centralized audit logging, and role-based access control was limited. The platform did not meet modern data governance standards required for HIPAA compliance or secure identity management.
Our Solution
To address the hospital system’s clinical and technical challenges, Softray delivered a modern, real-time monitoring platform purpose-built for neonatal brain health workflows. Rather than replacing clinical judgment or making diagnoses, the platform provided streamlined, actionable insights to help care teams respond faster and more confidently—especially during high-risk neurological events.
Key outcomes from our solution included:
Modern Architecture and Streamlined User Experience
We rebuilt legacy systems using a modern, cloud-native tech stack—resulting in a faster, more responsive platform with a clean, intuitive interface. Clinicians experienced reduced friction when navigating complex data and more confidence in real-time decision-making.
Real-Time Visibility into Brain Health
The platform enabled clinicians to monitor EEG data, vital signs, and neuro trends in a unified, continuously updated dashboard—supporting faster identification of deteriorating conditions or abnormal patterns.
Improved Workflow Efficiency
By eliminating manual data synthesis and consolidating key metrics into one interface, NICU teams could focus on patient care instead of chasing scattered data across devices and systems.
Cloud Deployment and Scalable Infrastructure
The system was deployed securely in the cloud, enabling rapid onboarding across additional NICUs and facilities. Its modular, API-first design allows future integration with AI tools, mobile apps, or other hospital systems.
Seamless Data Integration
The platform integrated smoothly with existing hospital infrastructure, pulling in neuro-monitoring data and other patient information without disrupting clinical workflows.
Security and Compliance by Design
The solution included SAML-based single sign-on (SSO) for identity management, centralized audit logging, and full HIPAA compliance to meet strict healthcare security and data privacy standards.
Configurable Alerts and Focused Collaboration
Clinicians could set custom thresholds and timelines to reduce alert fatigue and focus on what matters. A shared view of patient status improved communication and coordination among multidisciplinary care teams.
Results
The hospital’s existing systems were built on legacy architectures that were neither secure nor responsive enough for modern, high-performance clinical environments. These systems struggled with latency, lacked scalability, and posed long-term maintenance challenges.
Looking Ahead
We’re committed to continuously modernizing the platform—not just in what it delivers, but in how it’s built and maintained. This includes transforming legacy systems into more cohesive, modern architecture and developing internal tools that enable our team to deliver faster, more scalable improvements.
In addition, AI-powered assistance will be integrated into the application to provide users with instant, context-aware support directly within the platform—making it easier to understand features, troubleshoot issues, or get guidance without leaving the app.
This evolution will make the platform more user-friendly, empowering both clinical and technical users with timely and relevant information.
Interested to learn more? Reach out!