Transforming Clinical Data Intelligence and Operational Decision-Making with Aether for a Leading Academic Medical Center
A nonprofit academic medical center had clinical data spread across structured and unstructured sources, which slowed chart review and trial matching. Aether unified the data and added conversational queries, anomaly detection and AI recommendations.
- Client
- Nonprofit academic medical center
- Industry
- Healthcare
- Solution
- ITHENA Aether AI Platform
- Scope
- Unified clinical data, NLP queries, anomaly detection, agentic AI
- Headline result
- 30% less manual chart review
Three numbers clinical teams moved.
Results after Aether unified the medical center's clinical and operational data.
Reduction in manual chart review effort
Conversational queries replaced manual chart reviews when checking trial eligibility.
Decrease in diagnostic errors
Predictive analytics flagged anomalies that helped clinicians avoid diagnostic errors.
Improvement in trial matching speed
NLP matched patients to eligible clinical trials in less time.
Meet the organization and understand the context behind the transformation.
A nonprofit academic medical center delivering clinical care, research, and education across a network of hospitals and outpatient facilities. Partnering with ITHENA, the organization deployed Aether to consolidate structured and unstructured data, enabling NLP-driven conversational analytics and real-time anomaly detection. This AI-powered layer activated intelligent recommendations across workflows, resulting in faster diagnostics, improved trial-matching, and enhanced operational efficiency through immediate, actionable insights.
Our caregivers and researchers were working with an incredible depth of clinical data, but pulling it together fast enough to act on it was always the hard part. Aether changed that. Now the right information surfaces in seconds, not hours, and that has a real impact on both patient care and how we run the system.
— Chief Health Information Officer, Clinical Data Strategy
Deep data, slow answers.
Clinical data was rich but scattered, so pulling it together took hours.
- Limited ability to unify structured and unstructured clinical data into a single accessible intelligence layer
- Difficulty in efficiently connecting patients to relevant clinical trials, where eligibility has traditionally been limited
- Delayed identification of operational and clinical anomalies across a multi-facility system
- Limited capacity to convert vast volumes of data into timely, actionable insights
- Lack of real-time, conversational access to clinical and operational data resulting in dependence on legacy dashboards and static reporting
How ITHENA closed the gaps.
ITHENA's Aether platform empowered the client through:
Unified Data Integration
Consolidated structured and unstructured clinical data into a real-time, governed intelligence layer for system-wide visibility
NLP-Driven Insights
Enabled conversational queries to instantly match patients to eligible clinical trials, replacing manual chart reviews
Predictive Analytics and Anomaly Detection
Identified critical trends and anomalies to reduce errors and enhance diagnostic precision
Real-Time Visualization and Reporting
Shifted from static cycles to interactive visualizations to accelerate clinical and leadership decision-making
Agentic AI Recommendations
Delivered context-aware recommendations within workflows to improve care and operational confidence
Trial matches in minutes, not chart reviews.
An illustrative Aether view: manual review time falls as conversational queries match patients to eligible trials, with anomalies surfaced for clinicians.