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How much does MyPatients@aku earn?

Android app from Aga Khan University · Medical

ML forecast ★ 4.2 · 272 Free

~311/mo

ML revenue forecast. Calibrated against 13784 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

MyPatients@aku screenshot 1 MyPatients@aku screenshot 2 MyPatients@aku screenshot 3 MyPatients@aku screenshot 4

MyPatients@aku's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where MyPatients@aku sits in Medical

Revenue distribution of 13784 comparable apps. MyPatients@aku highlighted.

MyPatients@aku vs comparable apps

Revenue trajectory side-by-side. Bold = MyPatients@aku, ghosted = peers.

App spec

Version
8.5
Last update
Apr 16, 2026
Launched
Sep 15, 2016
Price
Free
Monetization
Free

What MyPatients@aku actually does (from store listing)

MyPatients@aku is a portal for care providers and deals with the patient related information. It is integrated with Stadium Road Campus and four Secondary Hospitals (Karimabad, Garden, Hyderabad and Kharadar) with different systems like Clinical Laboratory, Radiology, Cardiopulmonary and Neurophysiology. The data is real time which includes diagnostic results and other clinical information. MyPatients@aku also assists consultants to deal with their onboard, surgical day care and outpatient appoi…
Read full description →

Comparable Android apps

The five apps in Medical with the closest revenue to MyPatients@aku. Click any to see its detail page.

AppRevenueRatingRatings
OptiExpert™ icon OptiExpert™ 311 ★ 3.0 364
EmedHealthTech Enterprise icon EmedHealthTech Enterprise 311 0
Inside Rx icon Inside Rx 312 ★ 4.5 602
mySOS SA icon mySOS SA 312 ★ 1.3 205
秉坤婦幼醫院 icon 秉坤婦幼醫院 310 0
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on MyPatients@aku's tracker page for current rating, reviews and snapshot timeline.

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