Pogosh CDS: Clinical Decision Support That Works at the Speed of Patient Care
413 conditions. 40+ specialties. Evidence-based guidance on labs, imaging, specialist routing, and escalation — embedded directly in your clinical workflow. Under 200 milliseconds.
10 validation partner spots available. REST API + OpenEMR module. Thousands of clinical rules.
What Pogosh is
Pogosh is a structured clinical decision support system built for the bedside, not the boardroom.
When a nurse opens a chart on a patient with community-acquired pneumonia, Pogosh surfaces the high-yield labs that need to be ordered, flags the ones that are missing, identifies escalation criteria based on current vitals, and tells the team exactly which specialist to call and why. In under 200 milliseconds.
We ran it on real pneumonia cases and it correctly identified missing critical orders — blood cultures before antibiotics, urine antigens in severe presentations — that are routinely overlooked under time pressure. It told providers when SpO2 + respiratory rate triggered admit criteria. It adjusted recommendations when comorbidities like CKD were present.
This isn't an AI chatbot generating free-text suggestions. Every rule is traceable, every recommendation is tied to a condition, a guideline, and a clinical rationale. It's the cognitive safety net that experienced clinicians actually want — not a system that explains basic medicine to them, but one that catches what gets missed when you're managing six patients at once.
What the engine provides
High-Yield Labs
Not a generic lab panel — the specific tests that change clinical decision-making for this condition, with LOINC codes, rationale, and critical thresholds. For pneumonia: procalcitonin for bacterial vs. viral differentiation, blood cultures required before antibiotics if PSI Class III–V.
Imaging Guidance
First-line studies and alternatives based on patient-specific factors. Shellfish allergy flags CTPA, V/Q scan recommended instead. CKD present? Contrast exposure noted. Not "order imaging" — actual routing logic.
Specialist Routing
When to call pulmonology vs. infectious disease vs. send to the ICU, and what indication to give them. Not "consider specialist referral" — actual routing criteria with clinical justification.
Escalation Triggers
Specific vitals and lab thresholds that indicate deterioration. SpO2 <92% + RR >30 in a pneumonia patient = admit criteria met. The system flags it before the team catches it.
Missing Order Alerts
Cross-references what should be ordered against what has already been ordered or resulted. CBC back but blood cultures not sent in a high-PSI patient? Surfaced immediately.
Traceable Rules
Thousands of clinical rules built from peer-reviewed guidelines and validated against real patient presentations. Every recommendation is tied to a condition, guideline, and rationale — not a black box.
Specialty coverage
413 conditions spanning 40+ specialties, including:
Who it's for
Urgent & Primary Care
Run it as a copilot for every patient encounter — nurses and physicians running it when they open the chart, when labs result, when they're considering a disposition decision.
Emergency Departments
Fast, specialty-aware, patient-specific. The system knows the difference between a first PE in a 30-year-old and prior DVT on anticoagulation in a 70-year-old.
Specialty Practices
GI nurses managing IBD, ophthalmology triage, orthopedic pre-op — the condition library covers real specialty questions, not just EM and ICU.
EMR Developers
Clean JSON, REST API, <200ms response, OpenEMR module ready to deploy. Integrate structured CDS into existing workflows without building a rules engine from scratch.
Health Systems
Reduce cognitive load on nursing staff, standardize workup for common presentations, and catch the critical orders that get missed during busy shifts.
How it works
Pogosh is a REST API deployed on Cloudflare's global edge network. Your EMR, clinical app, or AI assistant calls the API with a condition ID and patient context. The engine returns structured JSON with patient-specific recommendations in under 200ms.
Your EMR, clinical app, or AI assistant calls the Pogosh REST API with a condition ID and patient context.
The engine returns structured JSON with patient-specific labs, imaging, specialist routing, escalation triggers, and missing order alerts.
It runs as a copilot — called on every chart interaction, not just once per encounter. When labs result, when vitals change, when the team is making a disposition decision.
For OpenEMR: install the module and get the Pogosh copilot panel directly in the patient chart view.
Budget Impact Model
What are missed orders costing your practice?
Enter your patient volume, staffing, and workflow — see the impact of structured decision support on catch rates, escalation time, and cognitive load.
Clinical Validation Partner Program
We're selecting 10 clinical sites to deploy Pogosh CDS in real patient care workflows. This is not a free trial — it's a collaboration. The clinical validation data and feedback from practicing physicians is worth more to us than subscription revenue at this stage.
10 partner spots available
Applications reviewed within 48 hours.
Partners receive:
- 3 months of full access at no cost
- Complete condition library (413 conditions, all specialties)
- OpenEMR module or API access
- Direct line to the development team
We prioritize:
- Active patient volume across multiple providers
- OpenEMR installations (Phase 1 priority)
- Willingness to provide specific, structured feedback
- Interest in long-term partnership
Pricing (after validation period)
All tiers include the full condition library, unlimited API calls, and the OpenEMR module. No per-call fees.
Frequently Asked Questions
Is Pogosh CDS HIPAA compliant?
Pogosh is designed for structured clinical decision support, not PHI storage. The API accepts condition IDs and clinical parameters — not patient identifiers. For OpenEMR module deployments, all data stays within your existing EMR infrastructure.
How fast is the API response?
Under 200 milliseconds. Pogosh runs on Cloudflare's global edge network so recommendations arrive before the clinician finishes opening the chart.
Is this an AI chatbot?
No. Pogosh is a structured rule engine. Every recommendation is traceable to a specific condition, guideline, and clinical rationale. No free-text generation, no hallucination risk, no black box.
What EMR systems does it integrate with?
OpenEMR has a ready-to-install module (Phase 1). The REST API works with any EMR or clinical application that can make HTTP calls. Enterprise integrations for Epic, Athena, and other systems are available.
How is the validation program different from a free trial?
Validation partners provide structured monthly feedback on clinical accuracy, workflow integration, and edge cases. The feedback from practicing physicians is worth more to us than subscription revenue at this stage. We're building this to be a tool that experienced clinicians actually trust.