#ehr
Live, measured metrics for the hashtag #ehr from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ehr
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-09-28 23:22 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-28 23:22 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-28 23:22 UTCEverything below is measured over the latest 40 public posts (spanning ~2338 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (36) · German (2) · Croatian (1) · French (1)
Avg boosts / post: 0.1
Top of the latest posts
A GDPR-compliant on-premise LLM integrated into Epic reached 1,028 users and 14,910 conversations in 5 months, mainly for information retrieval, summarization, and documentation support. #EHR #LLM #ClinicalAI https://doi.org/10.1371/journal
"Physician Edits to AI-Drafted Patient Messages and Their Impact on Clinical Workload" finds longer response times for all 15 edit categories, with radiology (+70.1%) highest. #AI #LLM #EHR #DigitalHealth https://ai.nejm.org/doi/full/10.105
A study examined Ambient AI's role in improving health practitioner well-being. 📉 Reduction in work exhaustion: -0.44 points 📈 Slight rise in professional fulfillment: +0.14 points ⌛️ Note-taking time decreased: -0.36 hrs/day AI effective
#ehr across platforms
every network with a public tag surfaceFollow #ehr straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/ehr