About IDHub
IDHub brings together writing, cases, and educational tools to support practical medical education and clearer clinical reasoning in Infectious Diseases.
Purpose
The mission of IDHub is to provide educational tools that are accessible to everyone, not only to encourage curiosity about the world of Infectious Diseases, but also to help evolve how we teach and learn in medical education. Through multiple tools, the goal is to expand understanding of complexity and make difficult scenarios more teachable, including multidrug-resistant organisms, immunocompromised hosts, and diagnostic uncertainty.
Goal
The broader aim is to support a more transparent approach to uncertainty. Clinical decisions are often grounded in risk-benefit reasoning rather than absolute answers. IDHub tries to make that reasoning visible, usable, and shareable through tools, projects, and collaborative medical education work.
People
Alvaro is an Infectious Diseases Fellow at Stanford University. During training, he repeatedly encountered cases where there was no clean pathway forward: only uncertainty, imperfect data, and competing possibilities.
Over time, that became a central insight. Infectious Diseases is less about memorizing answers and more about navigating ambiguity thoughtfully. As his interest in medical education grew, he wanted a place to explore those nuances more openly, from test interpretation to probability framing to real-world decision making.
That became the foundation of IDHub: a place where writing, tools, and teaching cases live together rather than in separate silos.
Juan is the IDHub Research Associate. He is currently engaged in clinical research in critical care and vascular neurology through CHOP/University of Pennsylvania and Montefiore/Albert Einstein.
Through IDHub, his goal is not only to contribute to ongoing learning in medical education, but also to help other early-career colleagues advance their research goals by collaborating with them and sharing his experience as a researcher.
Jorge is an Infectious Diseases physician at Stanford who brings a thoughtful, systems-based perspective to the way clinical care, infection prevention, and medical education intersect.
As Project Advisor, he helps shape the broader direction of IDHub and offers steady guidance on how the project can grow in a way that stays practical, rigorous, and useful for learners.
Hector is an Infectious Diseases physician at Stanford with deep experience in patient care, teaching, and clinical reasoning across a wide range of Infectious Diseases presentations.
As Case Development Advisor, he brings clinical perspective to the development of IDHub cases and helps refine them so they feel grounded, relevant, and educationally meaningful.
Why The Tools Exist
During fellowship, common antibiotic decisions were sometimes guided more by patterns than by mechanisms. That inspired MechID, a way to connect susceptibility results with plausible resistance mechanisms in a form built for learning and stewardship.
Host factors also became increasingly central. The rapid expansion of chemotherapeutic, biologic, and immunomodulatory agents made it difficult to keep mechanisms and infection risks organized. That led to ImmunoID, an educational tool mapping immune modulation and offering a heuristic immunosuppression estimate.
Translating clinical gestalt into pretest and post-test probability is also hard, yet it often determines the next step. ProbID was built to make that process more visible, showing how findings, labs, and imaging can shift probability as an educational exercise in diagnostic reasoning.
The goal is an evolving set of cases and tools that helps learners and clinicians feel more comfortable reasoning through uncertainty while staying connected to what makes Infectious Diseases so compelling.
Explore
Problem-solving cases for learning ID syndromes, pathogens, and management decisions.
Open sectionReflections on diagnostics, antimicrobials, and clinical reasoning in Infectious Diseases.
Open sectionSusceptibility interpretation with plausible resistance mechanisms.
Open sectionImmune mechanisms and infection risks, with an educational immunosuppression estimate.
Open sectionHow findings, labs, and imaging shift pretest to post-test probability.
Open sectionA reference app for facilitating antimicrobial dosing for providers.
Open section