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Will OpenEvidence and Johns Hopkins Medicine detail their AI collaboration roadmap by 28 October 2026?

probability 82% deadline 2026-10-28 (13d left) Healthcare

Posted 2026-10-14 — 14 days before the deadline, stated before the outcome.

OpenEvidence is an artificial intelligence platform designed to assist healthcare professionals with clinical decision-making and medical education. Johns Hopkins Medicine is a major academic medical center known for its research and patient care. This forecast concerns the public release of a specific operational plan for their joint initiative.

The claim

OpenEvidence and Johns Hopkins Medicine will finalize and publicly detail the specific operational roadmap for their AI-driven medical education and clinical care collaboration within 14 days.

Reasoning trace

  1. The initial announcement was a 'landmark collaboration' which typically requires immediate follow-up to define scope.
  2. Business Wire announcements usually precede a detailed Q&A or roadmap release within days to manage stakeholder expectations.

Evidence so far

0 confirming · 0 denying signals · 2 verified · 1 broken assumptions. The evidence itself is part of the full dossier.

Probability history

Updated 1 time since mint (last on 2026-10-14) — 78% at mint → 82% today.

What to watch

  • milestone OpenEvidence and Johns Hopkins Medicine issue a joint press release or announcement confirming the collaboration partnership observed
  • milestone OpenEvidence and Johns Hopkins Medicine jointly announce or confirm a signed collaboration agreement or memorandum of understanding (MOU) that is publicly disclosed observed
  • milestone OpenEvidence and Johns Hopkins Medicine issue a joint press release or official announcement confirming the collaboration and its general scope (e.g., via Business Wire, hospital newsroom, or company website). observed

The full dossier behind this prediction — the evidence trail, the risk analysis, the monetization scenarios — is available on request: [email protected].

Probabilities are calibrated against the system's own resolved history; after the deadline the outcome is resolved and audited — including the calls we get wrong. Nothing on this page is investment advice.