This is no longer
Telemedicine.
GlobeMDs is a clinical intelligence infrastructure — a probabilistic map of real-world medicine, a doctor performance ranking system, and a decision-outcome engine.
Most Telemedicine Platforms build: Chat → Doctor → Done.
We built the learning loop.
Every case that flows through GlobeMDs becomes structured, outcome-linked intelligence. The more cases, the smarter the AI. The smarter the AI, the better the outcomes. The better the outcomes, the more cases.
Structured Case Ingestion
Every case enters as raw clinical data — PDFs, labs, imaging, free text. Our AI normalizes it into a clean, structured Patient State Object.
Probabilistic Diagnosis Engine
Ranked differential diagnoses with probability scores, supporting/contradicting evidence, and uncertainty flags — constrained by NCCN, NICE, WHO guidelines.
Specialist Opinion Layer
Verified specialists deliver structured opinions — ranked diagnoses, recommended actions, confidence scores. Every opinion is outcome-linked.
Outcome Feedback Loop
What actually happened? Final diagnosis, treatment done, outcome status. This closes the loop — and makes every future prediction smarter.
Which diagnoses are most commonly wrong?
Answerable with our dataset. That's the moat.
Which doctors outperform their peers?
Answerable with our dataset. That's the moat.
Which patterns predict unnecessary surgery?
Answerable with our dataset. That's the moat.
Four Intelligence Products. One Living Dataset.
The same outcome-linked clinical dataset powers four distinct intelligence products — each helping a different enterprise.
Probabilistic Disease Map
A real-time, specialty-tagged map of diagnostic probabilities across conditions, geographies, and patient demographics. Updated continuously from live case data.
Specialist Performance Index
The first outcome-linked physician ranking system. Scores specialists by diagnostic accuracy, guideline adherence, and patient outcomes — not just reviews.
Decision-Outcome Engine
Which diagnostic decisions lead to which outcomes? Our engine maps the full decision tree — from first symptom to final outcome — across thousands of real cases.
Clinical RWE API
Programmatic access to our anonymized, outcome-linked clinical dataset. Structured, normalized, and ready for your analytics stack.
Built for Success
The same clinical intelligence infrastructure. Three distinct value propositions.
$4,200
avg. cost saved per avoided unnecessary procedure
Every year, 30% of medical procedures are unnecessary. GlobeMDs gives your members access to independent second opinions before surgery, high-cost diagnostics, or aggressive treatment — reducing unnecessary spend while improving member trust.
30%
of procedures are clinically unnecessary (JAMA)
87%
of second opinions change or refine the diagnosis
$4,200
average cost of an avoided unnecessary procedure
2.4×
ROI on second opinion programs (McKinsey)
How GlobeMDs Delivers Value
Pre-Authorization Second Opinion
Require an independent advisory opinion before approving high-cost elective procedures. Reduce unnecessary surgeries by up to 28%.
Outcome-Linked Risk Scoring
Our AI differential diagnosis engine flags cases with high diagnostic uncertainty — letting you prioritize review resources where they matter most.
Real-World Evidence Feed
Access anonymized, outcome-linked case data across specialties — the most structured real-world evidence dataset in clinical advisory.
Specialist Performance Data
Our doctor performance ranking system scores specialists by diagnostic accuracy, outcome rates, and guideline adherence — not just patient ratings.
Real outcomes. Real dollar savings.
Case studies from insurers, hospitals, and pharma companies — with concrete numbers, not vague claims.
Regional Health Insurer
Southeast US · 420,000 members
The Challenge
High rate of approved elective orthopedic and spinal surgeries with poor post-op outcomes. Pre-authorization process lacked independent clinical review.
The Solution
Deployed GlobeMDs second-opinion program for all elective spinal, orthopedic, and oncology pre-authorizations above $15,000.
“We approved 28% fewer elective spinal surgeries — and outcomes for the ones we did approve actually improved because the cases were better selected.”
— VP of Clinical Operations
28%
reduction in approved unnecessary surgeries
$4.2M
annual cost savings in Year 1
91%
member satisfaction with second opinion process
2.8×
ROI in first 12 months
ROI Calculator
Estimate your organization's return on GlobeMDs investment
Your Organization
Methodology: Based on published research — JAMA (30% unnecessary procedures), McKinsey (2.4× ROI on second opinion programs), BMJ (diagnostic error rates), and GlobeMDs platform data. Conservative estimates used throughout.
Estimated Annual Impact
Total elective procedures/year
in your member population
2,400
Estimated unnecessary procedures
30% of total (JAMA)
720
Procedures avoided with GlobeMDs
28% reduction from second opinion program
202
Gross savings
avoided procedure costs
$3.6M
Platform cost (est.)
~$0.80 PMPM
$80K
Net annual savings
after platform costs
$3.6M
Estimated ROI
4445%
Want a custom ROI analysis for your organization?
Request a Custom ROI AnalysisEvery interaction becomes
structured, comparable,
and outcome-linked.
Our 11-table clinical schema captures the full patient journey — from first symptom to final outcome. This isn't a chat log. It's a structured intelligence dataset.
casesCore case entity — complaint, specialty, urgency, status
clinical_dataStructured symptoms, labs (JSON), vitals, imaging, meds
ai_differential_diagnosisRanked diagnoses with probabilities, evidence, risk flags
doctor_opinionsStructured specialist output — ranked diagnoses, confidence
case_outcomesFinal diagnosis, treatment done, outcome status, complications
ai_vs_doctor_comparisonAI accuracy vs doctor accuracy vs actual outcome
{
"diagnoses": [
{
"condition": "Lumbar disc herniation",
"probability": 0.62,
"supporting_evidence": [
"L4-L5 disc protrusion on MRI",
"Positive straight leg raise",
"Dermatomal pain pattern"
],
"contradicting_evidence": [
"No bowel/bladder symptoms"
]
},
{
"condition": "Spinal stenosis",
"probability": 0.24,
"supporting_evidence": [
"Age 58, bilateral symptoms",
"Neurogenic claudication"
]
}
],
"urgent_flag": false,
"missing_data": ["EMG/NCS results"],
"confidence_score": 0.78,
"model_version": "v2.1.4"
}{
"ai_top_diagnosis": "Lumbar disc herniation",
"doctor_top_diagnosis": "Lumbar disc herniation",
"actual_final_diagnosis": "Lumbar disc herniation",
"ai_accuracy_score": 0.94,
"doctor_accuracy_score": 0.97,
"case_id": "case_8f2a1c...",
"outcome_status": "improved",
"surgery_performed": false,
"follow_up_duration_days": 90
}Ready to access
the dataset?
Whether you're an insurer reducing unnecessary procedures, a hospital building decision support, or a pharma company seeking real-world evidence — let's talk.
Health Insurers — reduce unnecessary procedures & costs
Hospitals — clinical decision support & diagnostic accuracy
Pharma — real-world evidence & trial recruitment
Response time
Our enterprise team responds within 24 hours on business days.