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Channel

ИТ в Медицине

@it_medicine

On this record: Topic · Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

6,483subscribers

+19 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001139356978
TypeChannel
Username@it_medicine
DescriptionНовости цифровой трансформации здравоохранения. По вопросам сотрудничества @promocontact
Created27 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/it_medicine

Topic

Technology — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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

6,4636,4836,4735 August 2026 — 6,464 subscribers6 August 2026 — 6,464 subscribers6 August 2026 — 6,466 subscribers12 August 2026 — 6,464 subscribers16 August 2026 — 6,463 subscribers18 August 2026 — 6,469 subscribers22 August 2026 — 6,465 subscribers25 August 2026 — 6,466 subscribers28 August 2026 — 6,468 subscribers4 September 2026 — 6,472 subscribers9 September 2026 — 6,475 subscribers13 September 2026 — 6,476 subscribers17 September 2026 — 6,474 subscribers24 September 2026 — 6,466 subscribers4 October 2026 — 6,477 subscribers10 October 2026 — 6,478 subscribers14 October 2026 — 6,476 subscribers17 October 2026 — 6,478 subscribers23 October 2026 — 6,481 subscribers26 October 2026 — 6,482 subscribers29 October 2026 — 6,477 subscribers2 November 2026 — 6,481 subscribers5 November 2026 — 6,483 subscribers5 August 20265 November 2026
23 measurements spanning 92 days, net +19. 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 6,460–6,486 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
5 Nov 2026, 10:446,483+2
2 Nov 2026, 06:246,481+4
29 Oct 2026, 22:086,477-5
26 Oct 2026, 19:096,482+1
23 Oct 2026, 17:046,481+3
17 Oct 2026, 14:576,478+2
14 Oct 2026, 05:316,476-2
10 Oct 2026, 13:386,478+1
4 Oct 2026, 19:016,477+11
24 Sept 2026, 21:406,466-8
17 Sept 2026, 00:396,474-2
13 Sept 2026, 10:396,476+1
9 Sept 2026, 12:576,475+3
4 Sept 2026, 00:596,472+4
28 Aug 2026, 02:486,468+2
25 Aug 2026, 03:586,466+1
22 Aug 2026, 00:056,465-4
18 Aug 2026, 20:346,469+6
16 Aug 2026, 05:066,463-1
12 Aug 2026, 18:336,464first reading

Engagement

42 posts held, back to 18 June 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 16 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.0%
avg views ÷ 6,483 subscribers
Avg views / post
1,360
13 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
13
of 42 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
WindowRolling 30 days · latest post in window 2 November 2026
Posts held42 (18 June 2026 – 2 November 2026)
Views total17,735
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 06:58 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
≈243
Videos
≈45
Links
≈3,010

Lifetime counters from Telegram’s own channel header, read 7 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
4m 35s
Average length
1m 32s

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.

Advertising

Ad load
2.38%
1 of 42 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
1,480
over 1 measured post
Median views · rest
1,470
over 41 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 42 most recent posts we hold, published 18 June 2026 to 2 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 13 posts held from the last 30 days (15.4%) 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).

2 Nov 2026, 08:28 UTC≈1,100 viewsread 7 November 2026
Photo

ИИ-агент впервые сам прооперировал мозг живой мыши: выбрал лекарство, рассчитал точку и ввёл иглу Стартап Exin Therapeutics сообщил об эксперименте, который за сутки разошёлся по соцсетям. Агенту на базе Claude Sonnet 5 дали таблицу с 19 вариантами генной терапии, мышь с эпилепсией, моторизованную хирургическую установку с камерами и одну задачу: уменьшить судороги. Дальше агент действовал сам. Выбрал терапию, усили…

30 Oct 2026, 12:19 UTC892 viewsread 7 November 2026
Photo

Прежде чем внедрять ИИ в больницах, нужно разобраться с медицинским оборудованием На форуме Kazan Digital Week 2026 прошла сессия «Прежде чем ИИ: от ручного ввода и разрозненных медданных к единой цифровой среде в реальном времени». Заместитель генерального директора по программно-аппаратным решениям ИТ-холдинга Т1 Михаил Книгин рассказал, с чего начинается объединение медицинского оборудования в единую цифровую сис…

29 Oct 2026, 10:45 UTC978 viewsread 7 November 2026

ИИ в 75% ответов советует конкретные фармбренды Агентство «Ашманов и партнёры» изучило, как семь генеративных ИИ-платформ упоминают фармацевтические бренды. Нейросети в 75% ответов советуют россиянам конкретные марки препаратов. Для фармы это прям новый рекламный канал, а для разработчиков ИИ - неплохой способ заработать, немного корректируя ответы своих генеративных нейросетей @it_medicine

29 Oct 2026, 10:30 UTC≈1,040 viewsread 7 November 2026

Zocdoc открыл запись к врачу для ИИ-агентов Сервис Zocdoc разрешил одобренным ИИ-агентам искать врачей и записывать к ним пациентов, с согласия самого пациента. Записью к врачу всё чаще будут заниматься ассистенты вроде ChatGPT или Claude, а не сам человек. А это прям топчик будет если Госуслуги и региональные порталы записи на прием к врачу откроют свои двери для ИИ-агентов. Не надо будет в определенный час судоро…

29 Oct 2026, 10:25 UTC≈3,620 viewsread 7 November 2026

ChatGPT отговорил пастора идти к врачу, и тот едва не умер 55-летний пастор из Флориды Скотт Уинтерс подал в суд на OpenAI и Сэма Альтмана. Иск утверждает, что ChatGPT месяцами давал ему опасные медицинские советы и отговорил обращаться за помощью. В итоге у него развилась массивная тромбоэмболия лёгочной артерии. Врачи связали её с длительной неподвижностью, которую советовал чат-бот. По данным иска, ChatGPT исполь…

28 Oct 2026, 09:03 UTC845 viewsread 7 November 2026
Photo

🤖 Обзор актуального состояния ИИ-индустрии и новинок ИИ в науке ИИ осваивает новые задачки, хотим мы этого или нет. И часто представители «мокрых» направлений выдыхают: «Нас-то он не заменит». А так ли это? Приходите разбираться вместе на вебинар от Бластим. На встрече: • Уточним базовые термины (харнесс, контекст, контекстное окно, агент, скилл, плагин и инструменты) • Сориентируемся в возможностях ИИ в лаборатор…

24 Oct 2026, 08:54 UTC≈1,320 viewsread 7 November 2026

Microsoft собрала консилиум из ИИ-агентов, и он обошёл терапевтов более чем вдвое Microsoft опубликовала в журнале Science результаты диагностической системы MAI-DxO. Несколько ИИ-агентов работают в ней как врачебный консилиум: опрашивают пациента, назначают анализы, спорят и ставят диагноз. На сложнейших случаях из New England Journal of Medicine система оказалась права в 83% случаев. Терапевты, работавшие в одиноч…

23 Oct 2026, 09:42 UTC≈1,250 viewsread 7 November 2026

Минтруд России вынес на общественное обсуждение проект постановления правительства с изменениями Положения о государственной информационной системе «Единая централизованная цифровая платформа в социальной сфере» (ГИС ЕЦП). Ключевое изменение касается функций платформы: предлагается включить в ее контур поставщиков социальных услуг и реабилитационные организации. В частности, добавляются подпункты об обеспечении учет…

23 Oct 2026, 09:26 UTC≈1,080 viewsread 7 November 2026

Комитет по охране здоровья поддержал законопроект о внедрении усиленной неквалифицированной электронной подписи при согласии или отказе от медицинского вмешательства Инициативой предполагается закрепить возможность подписывать информированное добровольное согласие на медицинское вмешательство или отказ от медицинского вмешательства, а также информационный листок пациента усиленной неквалифицированной электронной под…

16 Oct 2026, 09:32 UTC≈1,580 viewsread 7 November 2026

На базе Военно-медицинской академии специалисты вуза при поддержке представителей Главного управления цифрового и технологического развития Минобороны разработали Единую военно-медицинскую информационную систему Министерства обороны РФ. Новый сервис позволяет отследить лечение пациента от поступления в медицинскую организацию или подразделение до выписки, вести учет назначаемых лекарств. Внедрение системы, кроме мин…

14 Oct 2026, 12:43 UTC≈1,470 viewsread 7 November 2026

Самораспространяющиеся ИИ-модели: новая угроза для медицинских устройств Команда Frontier Red Team компании Anthropic 12 октября опубликовала исследование: небольшие открытые ИИ-модели, возможно, в нескольких месяцах от способности самостоятельно копироваться по подключённым к сети устройствам. Остановить такое распространение будет трудно, потому что у него нет центральной точки отключения. В экспериментах одна из …

14 Oct 2026, 12:24 UTC≈1,240 viewsread 7 November 2026

Искусственный интеллект (ИИ) превзошёл врачей в некоторых когнитивных задачах. Об этом на Петербургском международном форуме здоровья заявила ректор Высшей школы организации и управления здравоохранением (ВШОУЗ) Гузель Улумбекова. Эксперт предупреждает, что навыки врачей находятся под угрозой, поскольку ИИ совершенствуется. По её словам, ИИ уже лучше справляется со сбором анамнеза, диагностикой, выбором диагностиче…

Showing the 12 most recent of 42 posts we hold for @it_medicine. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 6 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Минздрав России
@minzdrav_ru · 53,184
Telegram ranks this channel #19 of 94 here — alongside 93 others — read 24 August 2026
Поясни за мед
@poyasni_za_med · 22,218
Telegram ranks this channel #53 of 97 here — alongside 96 others — read 21 September 2026
Медач | Medical Channel
@medach · 27,949
Telegram ranks this channel #62 of 97 here — alongside 96 others — read 10 September 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“ИТ в Медицине” (@it_medicine), 6,483 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/it_medicine.

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.