Cintegrity Social media Dec 2019 video 2 for subtitles
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Johann, let's speak about
the power of predictability
and how these tool, predictions,
and predictive analytics
could be used in favor for
the study management teams.
Our tools for prediction
of certain events to happen
are those that we all in the industry
missed for for many, many years
because we only were able to look
at the data that were already available
and had hardly any way to conclude
from the data that we saw
that certain events would happen in the next
three months or in six months from now.
Just to give you an example, for instance
in oncology trials the interim analysis
are usually based on a certain
number of events to happen.
And an event could be,
for instance, progression.
Usually, what happened in the past
is that the organization
ran the trial and everybody worked
to his or her best capabilities.
But then all of the sudden, the 250th event
happened and everybody started panicking,
because at that point in time
the data had to be clean
for, for instance, data monitoring board.
That was okay, probably, as long as
we were talking about
let's say March or October.
But, you know, unfortunately those
events also, once in a while,
happened around summer time
or around Christmas time.
Now, with the prediction feature
in such an RBQM tool,
one could already early on,
at least alert the organization
that it is very likely that the 250th event
is going to happen on December 23rd,
right after Christmas.
Then, you know, certain mitigation
actions could be put in place.