Clinical search in social context

Blitter is a clinical search engine with content highlighted by clinicians who blog or tweet.

If they think it’s important enough to comment on, we consider it great content.

blitter clinical tweet search engine

Blitter is an experimental search engine which offers a new insight into searching for clinical information in the context of social media. This innovative approach to clinical search within a social context has been designed and implemented by Jon Brassey and the TRIP database team.

The idea behind Blitter is that it only includes content that an independent clinician has deemed interesting/newsworthy enough to comment on. Most clinical search tools grab all the content from a particular publisher – irrespective of the clinical usefulness of the output. So, we see Blitter as being a bottom up approach to content identification – possibly making it more useful.

Currently the site searches a small but influential group of physicians heavily involved in the social media space. These contributors have been classified by their areas of clinical expertise, allowing Blitter users to filter results based on the specialty of the contributor.

Take the search term pain, an oncologist searching for pain would typically want significantly different results compared to a rheumatologist or a generalist. Currently TRIP and all other clinical search tools show the same results – meaning lots of ‘noise’. So, allowing users to restrict the results based on speciality should make the results more meaningful.

So, check out Blitter ( – the results are in fact very enlightening! I think it is a very exciting and innovative approach to medical search – well done.

If you have any suggestions I am sure that Jon would appreciate them so drop him a line (email: Jon Brassey)

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