Перечень Роскомнадзора: clck.ru/3G4hXj
Оф. канал ФОМС - Федерального фонда обязательного медицинского страхования. Рассказываем про: 📌 оформление полисов 📌 права пациентов 📌 диспансеризацию 📌 ВМП
Наш канал в MAX - max.ru/ffomsRF
Created
29 November 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 53% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
62 measurements spanning 97 days, net -145. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,063–10,303 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
10 Nov 2026, 21:19
10,130
-4
9 Nov 2026, 09:09
10,134
-6
8 Nov 2026, 02:55
10,140
-3
6 Nov 2026, 20:19
10,143
-1
5 Nov 2026, 22:18
10,144
+7
4 Nov 2026, 20:57
10,137
-3
3 Nov 2026, 21:11
10,140
+10
2 Nov 2026, 18:36
10,130
-2
1 Nov 2026, 15:07
10,132
+41
31 Oct 2026, 12:06
10,091
-2
30 Oct 2026, 11:56
10,093
-34
29 Oct 2026, 15:17
10,127
+9
27 Oct 2026, 17:28
10,118
-6
26 Oct 2026, 14:27
10,124
+1
25 Oct 2026, 16:00
10,123
-8
24 Oct 2026, 17:39
10,131
+7
23 Oct 2026, 20:38
10,124
-1
22 Oct 2026, 18:07
10,125
+10
21 Oct 2026, 15:50
10,115
-5
19 Oct 2026, 13:44
10,120
first reading
Engagement
32 posts held, back to 9 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.2%
avg views ÷ 10,130 subscribers
Avg views / post
1,640
12 posts measured
Reaction rate
2.50%
reactions ÷ views · ER floor
Posts in window
12
of 32 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 November 2026
Posts held
32 (9 July 2026 – 9 November 2026)
Views total
19,656
Reactions total
492
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 10:43 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈1,270
Videos
≈145
Links
≈335
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 38s
Average length
53s
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
795 reactions across 32 posts, in 15 distinct kinds. The most used accounts for 78.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
624
78.5%
🔥
59
7.42%
👏
34
4.28%
👀
21
2.64%
✍
12
1.51%
❤
12
1.51%
🤓
8
1.01%
🎉
5
0.629%
🕊
5
0.629%
🙈
4
0.503%
💯
3
0.377%
🙏
3
0.377%
😐
2
0.252%
🤔
2
0.252%
😢
1
0.126%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 32 of the 32 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 795 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 9 July 2026 to 9 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 12 posts held from the last 30 days (8.33%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
В ТФОМС Ленинградской области рассказали о праве выбора медорганизации по ОМС
За 9 месяцев новосибирцы более 9 тыс. раз посетили психолога по ОМС
В Адыгее с начала 2026 года благодаря процедуре ЭКО на свет появились 27 малышей
На лечение пациентов с инсультами в Челябинской области направили почти 2 млрд рублей
В Псковской области женщины могут бесплатно проверить репродуктивное здоровье
Жителям Ижевска напомнил…
Федеральный фонд ОМС и ФМБА России провели Всероссийский единый донорский день в канун Дня народного единства
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Сотрудники Федерального фонда ОМС регулярно участвуют в сдаче крови и её компонентов. Опираясь на на…
🤔 Какие обследования доступны по ОМС в рамках профилактики рака лёгких? На какие симптомы надо обратить внимание врача при осмотре? Можно ли снизить вероятность риска заболевания?
Смотрите #инфокарточкиФОМС
♨️ ФОМС в МАХ
Уважаемые коллеги, дорогие друзья! Сердечно поздравляю вас с Днём народного единства!
Этот праздник символизирует единство нашего народа, его умение объединяться ради общей цели, хранить историческую память, беречь традиции и уважать многообразие культур. Сила России – в её людях, в их сплочённости и ответственности за Отечество.
Пусть единство и согласие всегда служат опорой для добрых дел и больших свершений на б…
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Система обязательного медицинского страхования не только сохраняет базовые принципы доступности медицинской помощи, но и активно адаптируется к современным вызовам, внедряя передовые цифровые решения и расширяя спектр высокотехнологичных методов диагностики и лечения. Это создаёт прочную основу для дальнейшего развития здравоохранен…
Госдума приняла в первом чтении проект бюджета Федерального фонда обязательного медицинского страхования на 2027 год и на плановый период 2028 и 2029 годов. Второе чтение запланировано на 19 ноября.
Документ внесён правительством РФ. Бюджет фонда сформирован по доходам на 2027 год в сумме 5,038 триллиона рублей, на 2028 год - 5,398 трлн, на 2029 год - 5,658 трлн рублей; по расходам - 5,206 трлн, 5,473 трлн и 5,785 т…
Скрининг на гепатит С за 9 месяцев прошли по ОМС почти 137 тыс. новосибирцев
Хабаровские урологи освоили высокотехнологичную реабилитацию после лечения рака
Более 167 тыс. УЗИ сердечно-сосудистой системы провели по ОМС в Воронежской области
В Мордовии по полису ОМС стали доступны важные бесплатные обследования
В 2027 году к системе ОМС в Пензенской области присоединятся 76 клиник и больниц
Ставропольцы смогут по…
👩🏻 Цифровой медицинский профиль повышает уровень заботы о здоровье застрахованных: единый быстрый доступ для врачей и пациентов к истории болезни, а также к предыдущим исследованиям и анализам улучшает качество медуслуг и делает их более персонализированными
🚑 Смотрите новый ролик из серии #полисОМС2026
♨️ ФОМС в МАХ
Застрахованные в ОМС до 1 ноября могут сменить страховую медицинскую организацию по своему выбору.
Как именно это сделать и что для этого потребуется - смотрите #инфокарточкиФОМС
♨️ ФОМС в МАХ
Как в Кирове сохраняют по ОМС зрение пациентам старше 50 лет
В больницы Ямала поступило новое стоматологическое оборудование, приобретенное за счет ТФОМС
В ТФОМС Пермского края рассказали, что такое высокотехнологичная медпомощь, и как ее получить по ОМС
Уникальные операции на печени по методу TIPS начали проводить по ОМС в Красноярске
Воронежцы смогут выявить опасные заболевания с помощью эндоскопической диагнос…
🎗️ Сегодня - всемирный день борьбы с раком груди. Предлагаем вашему вниманию #инфокарточкиФОМС, посвящённые диагностике и лечению этого вида онкозаболеваний и напоминаем, что посетить маммолога можно в рамках диспансеризации.
🤖 Современные технологии способны значительно улучшить процессы диагностики, лечения и профилактики различных заболеваний - и с 2024 года врачам-маммологам в рамках ОМС помогает искусственный и…
👍56🕊3👏2
Showing the 12 most recent of 32 posts we hold for @ffomsRF. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“ФОМС” (@ffomsRF), 10,130 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ffomsRF.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.