Rapid advancements brought about by COVID-19
The pandemic provided an intense period of investment for the diagnostics industry, with levels now returning to pre-pandemic levels. In addition, the expected reduction in emergency use authorisations and recent changes to the regulatory landscape in the EU, such as the IVDR, mean that new diagnostic technologies are being released at a slower rate than in recent years. Generally speaking, we’re getting back to a “normal” workflow for diagnostic device development.
We spoke with several organizations during the event, who found that COVID-19 was a key inflection point in the development and adoption of their diagnostic technologies. This was particularly the case for small-scale home use PCR devices, which companies were able to rapidly develop and deploy with COVID-19 tests. It is notable that many of these devices were originally intended to be platform diagnostics, and that the rapid deployment of COVID-19 tests had demonstrated their use case and the effectiveness of these technology platforms. This was certainly the case for LumiraDx, a client of Team Consulting which adapted its diagnostic platform to deploy a COVID-19 test.
For lateral flow devices, a clear outcome from the pandemic is the ability of “lay” users to perform at-home testing, and their willingness to do so (for the right test). In the UK, over 514 million COVID-19 tests have been reported since the start of the pandemic, with many of these being at-home Lateral Flow Tests – LFTs. Even in May 2022, over 1.5 million tests were still being reported weekly.
While it’s evident that not all tests will be suitable for home use, either because the frequency of testing will be too low, or because users can’t stockpile tests for everything, the ability of lay users to perform nasal and throat swabs has facilitated the deployment of LFTs to pharmacies and decentralized healthcare settings. The COVID-19 pandemic has meant that these models can be considered more seriously than in the past. Still, it is not yet clear what form those models will ultimately take in the post-pandemic landscape.