Hospital Bench

About / hospitalbench.ai

Follow the patient, label and decision.

EHRSHOT tests prediction from longitudinal coded records. MIMIC-CDM tests diagnostic decisions from selected retrospective cases. This independent analysis puts their inputs, denominators and information settings side by side. Explore what a prediction label represents, why a selected disease cohort cannot establish general emergency-care performance, and where published evidence stops. We report aggregate metadata and historical study results, with no patient material, new model runs or implied affiliation with the benchmark authors.

Who this is for

This resource is written for hospital data science and clinical evaluation teams. Its scope is benchmark-specific analysis: what the published tasks measure, how scores are produced, and what the evidence can support.

  • Inspect the task. Trace the actual input, output and evaluation setting for each named benchmark.
  • Read the evidence. Explore cited cohort counts and selected historical results with their measurement boundaries.
  • Make the inference explicit. Separate the authors’ observations from our analytical interpretation and proposed evaluation questions.

Ownership and independence

Hospital Bench is published by Arcophos. Arcophos also publishes other healthcare AI evaluation resources linked from this site. Those links are disclosed as related resources, not independent endorsements.

The site is not the official home of any third-party benchmark, regulator, hospital, or model developer discussed in its guides. Benchmark names and publication titles identify their respective authors’ work. Our checklists and interpretations are editorial material.

How to read this site

Start with a benchmark dossier, follow its original references, and use the analytical explorer to inspect the tasks or scoring assumptions. The planning worksheet remains available as a secondary tool. Each guide states a direct answer, develops its reasoning, and links supporting references.

These materials do not establish clinical efficacy, patient benefit, or regulatory compliance for any system. Our editorial method explains the boundaries.

Your worksheet data

Worksheet selections are stored in this browser on this device. They are not sent to Arcophos. You can reset selections at any time or download them as a text file. This site has no analytics or advertising scripts.

Contact and corrections

For a correction, include the page URL, the specific claim, and a link to the original evidence. Contact Arcophos ↗