Thank you very much for the question.
Researchers are a big customer of CIHI. I spoke of 500 data requests. Many of those were from researchers looking for information to do modelling work to help predict the impacts of the pandemic on the health system as well as to model restarts in terms of beginning elective surgery and other procedures as things started to improve.
One of the things that's particularly helpful with the CIHI data is that it does come with an identifier, so we can follow patients across datasets in terms of the prescription drugs they've been prescribed, whether they are in long-term care, in hospital settings or, in some cases, in primary care. We can follow them across.
That's particularly helpful in looking at health system performance measures such as readmissions or repeat emergency department visits, and it's very helpful at following the complications that might happen over time. For example, with COVID, it would be very interesting to know whether there are any long-term health consequences for patients who test positive that we could follow over the course of their lifetimes.
However, you're correct that there are data gaps. Some of them relate to the timeliness of the data. The data that CIHI collects has been built to facilitate benchmarking across long-term care facilities, hospitals and health regions, and the benchmarking supports improved health system performance. The data is complete, it's comparable, it uses common standards, and it provides very good information on care, but things like readmissions or pain levels in long-term care or worsening pressure ulcers are all things that don't change from day to day, typically, and the improvement efforts are okay if you can provide that information on a quarterly basis or an annual basis.