LiveEvidence was created by Amos Grünebaum, MD, a Professor of Obstetrics and Gynecology and board-certified specialist in Maternal-Fetal Medicine with over fifty years of clinical experience in women's health.

Dr. Grünebaum's career has spanned high-risk obstetrics, fetal diagnosis, labor management, fertility, and medical ethics. He has published extensively in peer-reviewed journals including the American Journal of Obstetrics and Gynecology, the New England Journal of Medicine, and the Journal of Perinatal Medicine, and serves as a peer reviewer for leading obstetric and gynecologic publications. His research focuses on population-level analyses of CDC natality data, labor induction trends, cesarean delivery patterns, and the application of preventive ethics to obstetric practice.

As a Senior Ethics Consultant, Dr. Grünebaum brings a distinctive perspective to clinical tool development: that evidence-based medicine is not only a scientific obligation but an ethical one. Patients have a right to understand the data that shapes their care, and clinicians have a responsibility to use the best available evidence at the point of decision. LiveEvidence was built on that conviction.

Evidence that sits unread in a journal helps no one. My job is to make it live.

Current Work

Dr. Grünebaum is the creator and developer of LiveEvidence.com, a platform that transforms peer-reviewed publications into interactive clinical tools for both clinicians and patients. He is also the publisher of ObGyn Intelligence, a Substack publication delivering evidence-based commentary on women's health at a reading level accessible to non-specialists.

His current research interests include analysis of national birth trends using CDC Wonder and NCHS natality databases (2016–2024), the ethics of informed consent in obstetric practice, and the development of clinical decision support tools derived directly from published evidence.

Clinical Philosophy

Three principles guide all of Dr. Grünebaum's work:

First, that clinical decisions should be driven by published evidence, not tradition, convenience, or institutional inertia. Second, that patients deserve access to the same data their physicians use, presented in language they can understand. Third, that when guidelines and evidence diverge, the evidence takes precedence.

This philosophy is reflected across LiveEvidence, where every tool is built from peer-reviewed data, free of charge, and designed to serve both the clinician at the bedside and the patient seeking to understand their care.

How These Tools Are Built

Every tool on LiveEvidence is created through Structured Collaboration™ (SC Coding©) — a methodology developed by Dr. Grünebaum after more than two years of iterative clinical AI work: testing what broke, refining what held, and discarding what produced plausible-sounding errors that no amount of prompting could reliably prevent.

SC sits between two approaches that each sacrifice something essential in clinical work. Fully autonomous AI removes the physician. Vibe coding makes the physician a rubber stamp. Neither is acceptable when the output reaches a patient.

In Structured Collaboration, the physician defines the clinical role, scenario, and output format. The AI drafts under source-verification and triangulation constraints. The physician retains final authority over every clinical claim before it reaches a patient or clinician. The AI drafts. The clinician directs, reviews, and executes.

This is not a shortcut. It is a discipline — one built from 50 years of clinical practice, 175+ peer-reviewed publications, and the hard-won understanding that in medicine, the cost of a confident error is not an embarrassing correction. It is a patient.

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