Channel
@adh_academy
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
501subscribers
+0 since we began measuring on 12 November 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001209842502 |
|---|---|
| Type | Channel |
| Username | @adh_academy |
| Description | Official channel of the Africa Digital Health Academy. Course openings, membership news and free training for health professionals across Africa. Courses and membership: adha.edu.et |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 November 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 2 |
| On Telegram | t.me/adh_academy |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 06:22 | 501 | no change |
| 12 Nov 2026, 05:47 | 501 | first reading |
13 posts held, back to 20 October 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 page of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 13 (20 October 2026 – 11 November 2026) |
| Views total | 2,428 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 06:22 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.
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
Telegram’s own ‘edited’ marker: 1 of 13 posts held from the last 30 days (7.69%) 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).
Four African physicians wrote this book, and I am one of them. My co-authors are Dr. Yared Jenberu, Dr. Kirubel Tesfaye and Dr. Temesgen Mamo. This book is theirs as much as it is mine, and I am grateful to work beside them. Its argument fits in two sentences: "Africa does not have a shortage of digital health pilots. It has a shortage of digital health platforms." The book is a practical guide to crossing that ga…
Pilot to Platform: African Digital Health is now on Amazon Kindle. Kindle edition: https://www.amazon.com/dp/B0HP8N7XDT
"I learnt that small acts like sharing patients' information with a colleague, especially one that doesn't need it, can be a data breach." That line comes from a Digital Health Foundations graduate, in our end-of-course survey. A breach does not always look like hacking. It can be a chart shown to someone with no reason to see it, or a patient's photo dropped into a staff chat. One question before you share: does …
1. WHO launched its implementation guide for digital adaptation kits yesterday. We attended the launch. The guide gives ministries, developers and implementers one process for adapting these kits to a national system: assessment, localization, system development, then training and monitoring. The kits are software-neutral, so a country does not have to pick a product first. 2. WHO's African Region is using AI to see…
Five things in digital health to know this week.
A patient can come to your facility twice and end up with two records. Each clerk did the job. Nobody asked the one question that would have stopped it. Five habits for the registration desk, and none of them needs software: 1. Ask one question first: "Have you been registered here before, under any name?" 2. Write every name, in a fixed order. 3. Mark the date of birth when it is estimated. 4. Search wide, confirm…
One patient, one record. African Digital Health Brief, Edition 9. A mother registered under two names and an estimated age ends up with three folders. Identity starts at the registration desk: the fields to capture every time, a matching rule clerks can use, and a safe routine for merging duplicates. Read: https://www.linkedin.com/pulse/one-patient-record-temesgen-endalew-md--gasoe/ Start Digital Health Foundation…
The African Union expects 375 million young people to enter Africa's labor market by 2030. What will employers ask of them? In the World Economic Forum's Future of Jobs Report 2025, AI and big data lead the skills on the rise, followed by cybersecurity, technological literacy, creative thinking, resilience and curiosity. Reading, writing and mathematics ranks 25th of 26: among the most stable skills, with a small ne…
820 health professionals and students have now finished Digital Health Foundations, two months after it opened. Where the Academy stands on 25 October: 2,514 members of the ADHA Network from 65 countries, 43 of them in Africa, and more than 1,000 learners active in the last 30 days. Every graduate answers an anonymous survey: 89 percent rated Foundations very good or excellent, and 98 percent said it is relevant to…
White coat in one hand, laptop in the other. That is the new ward round for Africa's doctors, and it is how our new song opens. White Coat, Open Code is a three-minute music video for every medical student, intern and clinician still asking where AI, data and digital health fit in a doctor's work. The outro answers it: "That's not extra. That's the job." AI does not replace the doctor. It amplifies the doctor who l…
Same picture, or no system. African Digital Health Brief, Edition 8. 48 of 54 African countries have a digital health plan. 983 digital tools were counted in sub-Saharan Africa, with heavy duplication. Technology-only fixes moved health worker practice by about 1 percentage point. What is scarce is leadership that holds one picture. The new edition uses the unique patient ID to show why. Read: https://www.linkedin…
Is this you? You lead or advise a digital health program. You sign off on systems, data or AI decisions. You work in a ministry, health bureau, hospital, regulator, NGO, or a UN or donor office. Nurse, physician, lab scientist or data lead: if this is you, the ADHA Fellowship in Digital Health & AI Leadership was built for you. Cohort 01 is a founding cohort of 12 to 15 leaders, and scholarship positions are availa…
Showing the 12 most recent of 13 posts we hold for @adh_academy. 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.
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.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Africa Digital Health Academy” (@adh_academy), 501 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/adh_academy.
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.