Predictive Medical Intelligence

AI & Analytics

Transform raw clinical data into actionable intelligence. DeepCog's analytics layer surfaces patterns invisible to conventional BI tools — powered by medical foundation models trained on 42 million peer-reviewed papers.

AI analytics built for clinical reality

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Predictive Risk Stratification

Identify high-risk patients before deterioration events. Our models process structured EHR data, lab trends, and free-text notes to surface actionable risk scores with clinical reasoning.

Real-Time Scoring
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Cohort & Phenotype Discovery

Build precise patient cohorts for trials, QI programs, or population health initiatives using natural language — no SQL required. "Find all patients with HFrEF on ACE-I who missed their 6-month echo."

Natural Language Queries
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Clinical Outcome Analytics

Longitudinal tracking of patient outcomes across cohorts, care pathways, and intervention arms — with AI-generated narrative summaries for executive and clinical reporting.

Automated Narratives
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Genomic Intelligence

Correlate genomic variant profiles with clinical phenotypes, treatment response, and disease progression across your patient population at scale.

VCF + EHR Fusion
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Literature-Grounded Insights

Every AI insight is traceable to cited, peer-reviewed evidence. Our RAG pipeline continuously indexes PubMed, ClinicalTrials.gov, and specialty databases so recommendations stay current.

Always Up-to-Date

Operational Analytics

Model throughput, hallucination rate, token cost, and latency dashboards ensure your AI deployment performs reliably at scale, with alerting for clinical safety drift.

Safety Monitoring

Real-time clinical intelligence at a glance

The DeepCog analytics console gives your clinical informatics team a live view of model performance, patient risk distribution, and insight quality — all in one place.

  • AI accuracy benchmarked against gold-standard clinical judgements
  • Cohort drift detection alerts your team to data quality issues automatically
  • Explainability traces show which features drove each AI recommendation
  • Role-based access: clinicians see patient-level; administrators see aggregate
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// DEEPCOG ANALYTICS CONSOLE — LIVE
30-Day Readmission Risk
18.4%
↓ 3.2% vs last month
AI Accuracy (MedQA)
91.2%
↑ 0.8% vs baseline
Patients Flagged
1,247
High-risk cohort
Avg. Latency (p99)
712ms
SLA: < 800ms ✓
MODEL USAGE BY SPECIALTY
Cardiology
82%
Oncology
68%
Genomics
54%
Radiology
41%
Pathology
29%
42M+
Medical Papers in Corpus
91.2%
MedQA Benchmark Score
<800ms
p99 Inference Latency
99.9%
Platform Uptime SLA

Turn your clinical data into medical intelligence

Schedule a technical demo and see DeepCog AI Analytics running live on a de-identified dataset from your domain.

Request a Demo → Platform Overview