Bridging Guidelines and Bedside Decision-Making
A unified platform of evidence-based clinical decision support tools designed to translate complex subspecialty guidelines into intuitive, patient-specific pathways for physicians.
Each module translates specialty-specific guidelines into structured, patient-specific decision pathways that clinicians can use at the point of care.

Pulmonary Embolism Risk Stratification & Management
A structured clinical decision support tool for pulmonary embolism management, translating the latest AHA/ESC guidelines into patient-specific risk stratification pathways. Guides clinicians through PESI scoring, hemodynamic assessment, and evidence-based treatment selection — from anticoagulation to catheter-directed therapy.

Women's Health Clinical Decision Support
An evidence-based decision support tool covering key clinical pathways in women's health, including hormonal management, reproductive health, and gynecologic conditions. Built on current ACOG and SMFM guidelines to support consistent, patient-specific care decisions at the point of care.

Men's Health Clinical Decision Support
A clinical pathway tool for men's health conditions including testosterone deficiency, benign prostatic hyperplasia, and sexual health. Grounded in AUA and Endocrine Society guidelines to provide structured, evidence-based stratification for individualized treatment planning.

Genicular Artery Embolization Patient Selection
A decision support tool for genicular artery embolization (GAE) in the management of knee osteoarthritis. Assists interventional radiologists and referring physicians in patient selection, procedural planning, and outcomes stratification based on current SIR and peer-reviewed evidence.
Dr. Mona Ranade
Founder, Clinical Compass
I've been incredibly encouraged by the early traction and feedback around PE Compass which I launched just last week! What started as a focused effort to bring clarity to pulmonary embolism management has quickly highlighted a bigger gap across medicine.
There are still many disease states where guidelines exist — but translating them into real-world, bedside decision-making isn't straightforward.
That's what I'm working on next.
I'm building a series of clinical decision support tools designed to bridge that gap — taking complex guidelines and turning them into intuitive, patient-specific stratification pathways that clinicians can actually use in practice.
The goal is simple: make it easier to deliver the right care, at the right time, with more consistency.
I'd really value input from colleagues across specialties — what areas feel the most ambiguous in your day-to-day practice? Where do you see the biggest disconnect between guidelines and reality?
Tools currently in development:
This is very much an evolving effort, and real-world feedback will shape where it goes next.
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