4 measurements spanning 9 days, net -3. 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 239–242 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 18:28
239
-2
7 Aug 2026, 02:45
241
-1
7 Aug 2026, 02:32
242
no change
6 Aug 2026, 05:19
242
first reading
Engagement
20 posts held, back to 8 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
71.5%
avg views ÷ 239 subscribers
Avg views / post
171
9 posts measured
Reaction rate
4.25%
reactions ÷ views · ER floor
Posts in window
9
of 20 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. It is computed over the 7 of 9 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 23 July 2026
Posts held
20 (8 July 2026 – 23 July 2026)
Views total
1,538
Reactions total
19
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 02:32 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.
Reaction mix
52 reactions across 17 posts, in 2 distinct kinds. The most used accounts for 98.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
51
98.1%
👏
1
1.92%
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 17 of the 20 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 52reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 July 2026 to 23 July 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.
👩👦 اصل پائولا؛ وقتی استعدادها دیده نمیشوند
در مدیریت، معمولاً از «اصل پیتر» صحبت میشود؛ اینکه افراد تا سطح بیکفایتی خود ارتقا پیدا میکنند. اما «اصل پائولا» دیدگاه متفاوتی دارد.
این اصل میگوید بسیاری از افراد، به دلایل مختلف، هرگز فرصت فعالیت در سطح واقعی تواناییهای خود را پیدا نمیکنند و پایینتر از شایستگیشان باقی میمانند.
🎯 بینش مدیریتی
اصل پائولا (The Paula Principle) بیان میکند که در بسیاری از سازمان…
🚨 چرا ژاپن با کنترل شدید دولتی موفق شده، اما آلمان با رقابت بیمهها؟
کدام مدل برای آینده نظام سلامت ایران واقعیتر است؟
🇯🇵ژاپن:
•کنترل تعرفه خدمات درمانی توسط دولت
•تمرکز بر کاهش هزینههای غیرضروری
•اداره بیمارستانها با بهرهوری بالا
•پیشگیری و چکاپ، بخش مهم سیاست سلامت
🇩🇪آلمان:
•اداره نظام سلامت بر پایه بیمههای قدرتمند
•درآمد بیمارستانها، بر اساس عملکرد
•ارزیابی مستمر کیفیت خدمات
•شفافیت مالی
📌 درسهایی برای ا…
⚡️بهترین نظامهای سلامت، قبل از پیر شدن جمعیت آماده میشوند.
#نظام_سلامت #آلمان #ژاپن #اقتصاد_سلامت
در کانال انجمن علمی مدیریت نظام سلامت شبکه نخبگان، همراه ما باشید...
🆔 @hsm_elites
📚 #معرفی_کتاب
«اصول بازاریابی در بخش سلامت: مفهوم بازاریابی»
✍️ نویسنده: اریک برکوویتز
🌐 مترجم: دکتر محمد عرب
این کتاب با رویکردی علمی و کاربردی، به تشریح مفاهیم و اصول بازاریابی در نظام سلامت میپردازد و نقش بازاریابی را در ارتقای کیفیت خدمات، شناخت نیازهای بیماران، مدیریت ارتباط با مشتریان و افزایش اثربخشی سازمانهای سلامت بررسی میکند.
این اثر، منبعی ارزشمند برای دانشجویان، مدیران، پژوهشگران و علاقهمندان حوزه …
🟨 آشنایی با تکنیک شش سیگما
#شش_سیگما #مدیریت_کیفیت #مدیریت_نظام_سلامت
در کانال انجمن علمی مدیریت نظام سلامت شبکه نخبگان همراه ما باشید...
🆔 @hsm_elites
🌐 اعلام زمان ثبت نام آزمون دکتری وزارت بهداشت ۱۴۰۵
🔴 بر اساس اطلاعیه منتشر شده بر روی سایت سنجش پزشکی؛ زمان ثبت نام آزمون دکتری تخصصی و پژوهشی وزارت بهداشت ۱۴۰۵ از 25 مرداد ماه آغاز می شود و تا 2 شهریور ماه 1405 ادامه خواهد داشت. داوطلبان واجد شرایط می بایست با آماده نمودن مدارک موردنیاز در طی این بازه زمانی نسبت به ثبت نام اقدام نمایند.
⏳ زمان ثبت نام: از 25 مرداد تا 2 شهریور ماه 1405
⏳ زمان برگزاری آزمون: 7 آبان…
📰 خبرنامه رسمی | ۱۴۰۵/۰۴/۲۷
✨ *شرق کشور سنگر محافظ نظام سلامت در برابر بیماریهای واگیر است / پوشش ۹۸ درصدی واکسیناسیون فلج اطفال در ایران*
این خبر بر اولویت پیشگیری، تقویت نظام مراقبت مرزی و حفظ پوشش بالای واکسیناسیون در مدیریت بیماریهای واگیر تأکید دارد. همچنین اجرای برنامه پزشکی خانواده و بهرهگیری از ظرفیت دانشگاهها، نشاندهنده رویکرد پیشگیریمحور و مبتنی بر شواهد در نظام سلامت است. 🎓📊
✨ *آغاز رسمی برنامه پز…
کمیته تحقیقات و فناوری دانشجویی دانشکده مدیریت و اطلاع رسانی پزشکی دانشگاه علوم پزشکی ایران با همکاری انجمن علمی مدیریت نظام سلامت شبکه نخبگان برگزار می کند:
📚کارگاه آشنایی با انواع مطالعات مروری؛ گشت و گذار در جهان مطالعات ثانویه
رایگان در بستر اسکای روم
همراه با اعطای گواهی معتبر از دانشگاه علوم پزشکی ایران
🧑💼مدرس: جناب آقای دکتر ناصر درخشانی
عضو هیات علمی دانشگاه علوم پزشکی ایران
📆تاریخ برگزاری کارگاه: دوشنب…
تأمین اجتماعی؛ پشتوانهای برای آرامش فرد و پایداری جامعه
◾ تصور کنید فردی سالها کار کرده، حق بیمه پرداخته و حالا در دوران بیماری، بازنشستگی یا ازکارافتادگی، نگران آینده خود و خانوادهاش است. اگر چنین فردی هیچ حمایت مطمئنی نداشته باشد، کوچکترین بحران میتواند به یک مشکل بزرگ اقتصادی و اجتماعی تبدیل شود. اینجاست که تأمین اجتماعی معنا پیدا میکند؛ نهادی که قرار است در روزهای سخت، امنیت و آرامش نسبی را برای افراد حفظ …
💡مشکل اصلی نظام سلامت ایران بیشتر در «تأمین منابع مالی» است یا در «مدیریت و توزیع منابع موجود»؟
🎥با دیدن این کلیپ به پاسخ این سوال دست پیدا خواهید کرد✅
#کلیپ_آموزشی #نظام_سلامت #اقتصاد_سلامت #آلمان
درکانال انجمن علمی مدیریت نظام سلامت شبکه نخبگان، همراه ما باشید...
🆔@hsm_elites
🚑 چرا آلمان بهجای ساخت بیمارستان بیشتر، روی «مدیریت پول سلامت» تمرکز کرده است؟
آلمان باور دارد:
«سیستم درمان قوی، فقط با پزشک خوب ساخته نمیشود؛ با جریان مالی شفاف ساخته میشود.»
💶 مدل مالی سلامت در آلمان
🟢 بیمه درمان برای اکثر مردم اجباری است.
🟢 هزینه درمان بین مردم، کارفرما و بیمه تقسیم میشود.
🟢 بیمارستانها بر اساس نوع و نتیجه درمان درآمد میگیرند؛ نه صرفاً تعداد تخت.
🟢 کیفیت خدمات دائماً ارزیابی میشود.
🟢 رق…
❤3
Showing the 12 most recent of 20 posts we hold for @hsm_elites. 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.
Citation-graph rank
Citation-graph rank — 666,334 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@hsm_elites named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@shmissrc named in 1 post, 8 August 2026 – 8 August 2026
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی مدیریت نظام سلامت” (@hsm_elites), 239 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/hsm_elites.
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.