#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 · mastodon.online (Mastodon public tags API) · fetched 2026-09-28 07:51 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-28 07:51 UTCNo related tags with measured usage found for #ehr.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-28 07:51 UTCEverything below is measured over the latest 40 public posts (spanning ~3154 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (37) · German (1) · Croatian (1) · French (1)
Avg boosts / post: 0.2
Top of the latest posts
Investigating non-lexical sounds in clinical ASR. 🔍 3284/135,647 words were NLCS 🗣️ 76 NLCS impacted clinical data 🧠 Google WER: 11.8%, Amazon: 12.8% 🔊 NLCS WER: Google 40.8%, Amazon 57.2% #ASR #EHR #NLP #PatientSafety https://tnyp.me/N
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
Non-lexical sounds challenge ambient clinical documentation. 🗣️ 3284 NLCS in data. ❌ NLCS error rate: Google 40.8%, Amazon 57.2%. 📉 Clinically relevant NLCS WER: Google 94.7%, Amazon 98.7%. #ClinicalNLCS #ASRTech #EHR https://tnyp.me/Npmi
#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