MedsWatch is an informal group of academic researchers and others interested in using data to reduce the risk of people being exposed to poor quality medicines. It’s also the name we’ve given to a system that aims to use market and other information to predict which medicines are at particularly high risk for being fake (falsified medicine), and which are most likely to have been badly made or to have degraded, so that when they reach the patient they don’t work the way they should (substandard medicine).
This blog is a repository for some of our thoughts and observations, as well as a place to share data, news stories and ideas related to medicine quality. We welcome contributions from other researcher, regulators, or colleagues past, present or future.
Read more about the MedsWatch Team.
You can email us through the contact form, or reach us on Twitter @MedsWatch.
Latest from the Blog
Chain gang
Getting medicines to patients across Indonesia’s 13,000 islands: what could possibly go wrong? Medicine supply chains are more of a tangled web at the best of times. In Indonesia, with its 13,000+ islands scattered across three time zones, more so than most. Add to that a complex mix of pharma regulations designed to apply uniformly…
Garbage in = garbage tracked
Barcoded tracking systems are being touted as a great protection against fake COVID-19 vaccines. But they don’t protect against substandard products.
Political persuasion: data alone won’t do the job. So come help us do better.
Tertarik tentang ekonomi dan politik kesehatan? Mau interaksi dengan pejabat, pengusaha, toko politik? Ayo, megabung dengan tim peneliti kami, untuk membangun koalisi yang peduli mutu obat di Indonesia.
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