Qinsight™ is so much more than just another search engine. Qinsight is rooted in Artificial Intelligence, which provides superior results with ease and powers visual analytics of the actual text content. Here, we highlight three key aspects of Qinsight versus traditional tools.

1. Why Quertle
(Differentiating Qinsight™ from Traditional Search Engines)
Qinsight™ is so much more than just another search engine. Qinsight is rooted in Artificial Intelligence, which
provides superior results with ease and powers visual analytics of the actual text content. Here, we highlight
three key aspects of Qinsight versus traditional tools.
1. Speed (time is money)
Case Study: A major pharmaceutical company hired a consulting company to find all the literature relevant to a
particular disease and the mechanism of action of their drug. They held a meeting with the consulting company
and some additional outside experts to go over the results. The consulting company reported that their
exhaustive searching, which took one month, found about 300 critical references. When the discussion about
these references started, one of the outside consultants – a Qinsight user – thought he ought to see what he
could find. Within 5 minutes, he announced that he just found everything the consulting company did PLUS
several important references they missed!
Let’s assume the search by the consulting company was done by only one person (although it was an entire team)
and let’s further assume after doing the searching from Qinsight, there is a day to write up a summary. With these
assumptions, Qinsight would be a 30x time and cost savings for the consulting company – and that much faster
for the pharmaceutical company to be able to move forward.
Why did people pay more for the SST, when they could have taken a regular flight, or
maybe the QE2, to cross the Atlantic? Speed matters in business, especially if the patent
clock is already ticking. A $1B/yr drug generates about $80M/month, so one month later
in positioning (or development) is a huge loss of revenue.
2. Finding what others miss (decrease risk)
The above story also highlights that Qinsight, with its unique search algorithms, can find documents others miss.
Does this happen a lot? Well, we know from data provided by the EPO that on the R&D side, up to 30% of R&D
budget monies are spent rediscovering previously published information. The same problems exist for other
aspects of the industry, including medical affairs and publication planning, for example. These problems remain
despite skilled searchers using multiple tools.
How many times have you done a search and gotten such a long list of results that you needed to refine the
query to get obviously relevant results on the first page? Routinely, this process also eliminates some of the
important documents as well.
The more critical the decision to be made, the more critical it is to apply more than one search methodology to
uncover what is needed. As an example, using different search engines is a hallmark of systematic reviews. But,
instead of using a different keyword-based application, Qinsight’s AI-based methods offer a unique, and often
crucial, perspective.
The benefit of adding Qinsight into the process is
decision confidence.

2. 3. Deeper understanding (there is so much more than just a list of results)
There is a big difference between searching and discovering, the latter being Qinsight’s forte. Besides the unique
search methodology and the benefits discussed above, there is much more to Qinsight that supports real
discovery.
a. Answering questions that no one else can address (real answers to real questions)
With traditional searching, it is very difficult (and in some cases nearly impossible) to answer questions
such as, “What co-morbidities could complicate a treatment?”. With Qinsight’s Power Term® conceptual
queries, entire categories can be discovered simultaneously. There is a lot of emphasis on genetics with
today’s precision medicine approach. Can you easily find the genes, the microRNAs, the lncRNAs, etc. that
are relevant using other search engines? Even if you got the correct results set, you would have to read,
or data mine, all the results to begin to tease out an answer to these questions. With Qinsight, it is a cinch.
For example, search for “What genes are associated with melanoma?” and get a list of those genes. And, we
can easily customize Power Term queries to meet specific needs.
b. Connections (discover concept relationships)
Another limitation of traditional searching is the difficulty in finding connections among concepts. Even if
it were possible to comprehend this from result lists, you would have to go through a painful process of
sequentially modifying your query and investigating the results. Again, with Qinsight’s visual analytics, this
is very easy, very fast, and very effective, especially when combined with a Power Term query.
c. Trends (prediction of coming trends)
Suppose you find an interesting concept with your traditional search engine. It is difficult to act on this
without additional information. For example, wouldn’t you like to have some indication of whether the
concept is likely to be of increasing or decreasing importance? Qinsight s predictive Concept Trends
visualization can provide clues no one else can. As an example, back in 2015 we were testing our neural
network for trend prediction. Although most of the testing and verification looked backward so that we
could use historical data to verify the algorithms, we naturally wanted to use current information and look
forward. In one such exercise looking at diseases in the Americas, we found two concepts that were
predicted to emerge together, but we had no real-world context at the time to interpret what we saw.
But by mid-2016 those two emerging concepts – Zika Virus and microcephaly – sure made sense.
d. Serendipity (opportunity to discover the unexpected)
A goal for a skilled searcher is to find evidence they were looking for. And, they can often quantify if they
are successful or not. But, there is much more to be known. Qinsight automatically discovers concepts
related to the user’s query, whether the searcher was looking for that concept or not. Hence, Qinsight
provides immediate intuitive exploration and an opportunity to discovery related concepts the searcher
might not have known were important. There are so many examples where literature searchers wish they
had found more than just what they knew to look for, such as discovering potential adverse effects before
they occurred in patients.
There is so much more to searching than getting a list of
results. The deeper understanding provided by Qinsight is
a value not achievable with any other search solution.