The institutional knowledge of a senior attending — available on every shift, every patient, every provider.
A hospitalist managing 18 patients at 2am can't hold every guideline at once. A resident without attending backup makes consequential calls alone. A locum entering an unfamiliar system flies blind. Pogosh closes the gap between what physicians know and what they can reliably access under pressure.
Pogosh is an API-first clinical decision support engine. At the point of care it surfaces the highest-yield labs to order, imaging to consider, escalation criteria to watch for, and the right specialist to call — embedded in your EMR or accessible via REST API.
Where clinical knowledge breaks down
Physicians don't miss diagnoses or over-test from lack of knowledge. They miss them from the impossible cognitive load of synthesizing hundreds of guidelines under time pressure.
The 2am hospitalist
Eighteen patients. New admit with chest pain. Old admit with sepsis trending wrong. Discharge orders waiting. The senior attending's instincts exist — but not at this hour, not for this patient, not on this provider.
The resident without backup
Consequential calls made alone. The right escalation criteria are written down somewhere — usually a PDF or a folder of departmental SOPs that nobody navigates mid-call. Knowledge exists; access doesn't.
The locum on day one
Unfamiliar system, unfamiliar protocols, unfamiliar specialists. The locum is technically excellent and operationally blind. The patients don't know the difference until something gets missed.
What Pogosh surfaces at the point of care
Open the chart. Pogosh returns four things, structured and traceable to a guideline:
What to order — and what's missing
For the working diagnosis, the labs and tests with the most diagnostic and triage yield. Compares against what's already ordered and flags gaps. No protocol-stuffing — just the labs that change management.
Try in your workflow →Which imaging study, which protocol
ACR-aligned imaging selection for the clinical scenario, with rationale. Cuts unnecessary studies and surfaces the right one when the obvious choice is wrong.
See ACR layer →When this stops being safe to manage on the floor
Vital sign thresholds, lab trigger values, and clinical findings that mean ICU, RRT, or specialty consult — surfaced from current vitals and labs in the record, not generic textbook bullets.
See it in real workflow →Which specialist to call — and why
Specialist routing with the structured clinical reason embedded. Cuts the 'why are you calling' phase out of the consult and shortens length of stay on the floor.
Learn more →Why Pogosh, not the legacy CDS vendor
Hospitals already pay $2B+ per year for clinical decision support. Most of it is static reference content licensed per seat — built for compliance, not for the bedside.
API-native, sub-200ms
Real-time at the point of care. Embed in your EMR, your order set, or your custom workflow. Not a pop-up the clinician dismisses without reading.
Specialty-tailored
413 conditions across 40+ specialties — covered the way the specialty actually thinks about each presentation, not as generic 'chest pain' bullets.
Structured + traceable
Every recommendation maps to a guideline. No hallucinated logic, no LLM-only generation. Clinicians can verify why each suggestion is on screen.
Who deploys Pogosh
Pogosh is API-first — the integrations look different by use case.
EHR-embedded clinical intelligence
Hospitalist, EM, and inpatient teams. Pogosh embeds in your EMR via REST API or the OpenEMR module — at the point of order entry or chart open.
Specialty-tailored decision support
IR, urgent care, anesthesia, and specialty teams. Pogosh's specialty layer covers the conditions and decision points that generic CDS misses.
Add guideline-based logic to your platform
EHR vendors, clinical platform companies, and health-tech startups embedding decision logic. Pogosh ships as a backend API — your UX stays yours.
Standardized clinical floor across providers and sites
Locum agencies and telehealth groups whose clinicians rotate through unfamiliar systems. Pogosh provides the institutional context the system itself can't.
Two ways in
Most adopters start as Validation Partners. EHR / platform integrations follow.
🩺 Clinical Validation Partner
Three months of full Pogosh access at no cost in exchange for structured feedback. We're selecting a small number of clinical sites for real-workflow validation.
Apply →🔌 EHR / Platform Integration
REST API + OpenEMR module. EHR vendors, platform companies, and clinical startups embedding Pogosh's decision logic — talk to us about scope and pricing.
Contact →Common questions
Is Pogosh an LLM-based tool?
No. Pogosh is a structured rule engine — every recommendation maps to a specific clinical guideline and rationale. It does not generate free-text clinical content. Clinicians can verify the source of every suggestion.
Does Pogosh handle PHI?
Pogosh accepts condition IDs and clinical parameters — not patient identifiers. The integration architecture is designed so PHI doesn't need to leave your system to get the recommendation back.
How does Pogosh integrate with my EMR?
REST API + OpenEMR module. Most hospitals deploy via the API — embedding the response in order entry, chart open, or specialty handoff workflows. Talk to us about your specific EMR.
How does pricing work?
Validation Partners get full access free for three months. Beyond that, Pogosh is offered as a freemium API with paid tiers for clinical and integration use. Pricing is by call volume and integration depth, not per seat. Talk to us for a real number.
What specialties are covered?
413 conditions across 40+ specialties — heaviest depth in IR, hospital medicine, EM, anesthesia, vascular surgery, GI, cardiology, and pulmonary. New conditions are added on request when a Validation Partner has a structured need.
Who built it?
Pouyan Golshani, MD — a practicing interventional radiologist — and the GigHz clinical team. Built because no API-native CDS engine existed that surfaced specialty-level decisions in real time.
Make institutional knowledge available on every shift.
Apply as a Validation Partner — three months of full Pogosh access in exchange for structured feedback from a real clinical workflow.
Pogosh CDS surfaces guideline-based recommendations to support clinical decision-making. It does not replace clinician judgment, and every recommendation should be evaluated by the clinician at the point of care. A GigHz product. Built by Pouyan Golshani, MD.
Written and reviewed by Pouyan Golshani, MD, Interventional Radiologist — Last updated April 8, 2026