Search *for* medical publications *with* exemplary publications. You can also train the patent-pending ImplicitSearch™ engines on an abstract of your own creation. Consider this a powerful new way to find evidence of your novel hypotheses.
We search through publicly available abstracts and your integrated repositories. You may search using keywords (business as usual) or you may take an exemplary publication that ImplicitSearch™ uses to find others like it.
By allowing Medical Writers find what they're looking for faster, we help reduce research costs for initial product approval and ongoing product re-certification. Companies can downsize or reallocate those highly-trained resource teams.
Quickly training ImplicitSearch™ on the abstract of an exemplary publication allows Medical Writers to identify which full publications "like the exemplars" may be worth purchasing.
We impose no limits on the number of users or searches at your company account level.
The ImplicitSearch™ Medical Literature solution is offered as an annual subscription following a one-time setup. You can be up and running in two months or less.
A Fortune 500 medical devices company faced challenges related to product approvals and recertifications. The issues were rooted in regulations requiring systematic medical literature review and analysis to find clinical evidence regarding the use of their devices in appropriate clinical scenarios. Such clinical evidence reporting is needed for not only initial product approval, but also for ongoing product recertification (potentially requiring that multiple reports be submitted per year, per device). The company employed large teams of Medical Writers who spent countless hours performing keyword searches for relevant medical publications, then filtering and assessing within search results the appropriateness of found clinical evidence for Health Authority reporting.
The process for searching publications – and then annotating relevant results for subsequent use for detailed analysis for evidence usage – was analyzed with clinical leaders and Medical Writers. The main request centered around the notion that “Once I have finally found the type of publication I was looking for, I want to find other publications ‘like it’”. Keyword search is unable to achieve this, and currently available AI search techniques also have limitations (including AI model bias) in their ability to find “articles like this one”. So with this usage paradigm in mind, the data science team endeavored to innovate a new ML search method.
A new technique for ML search was invented that allows users to take one or more exemplary publications and instantly train a domain-agnostic, search-session-specific ML search engine to go find other publications like the exemplar(s). Keywords were used to define what we call the "Search Universe". The Human-in-the-loop feedback (implicit + explicit), within the keyword and Boolean-defined "Search Universe", enabled this breakthrough AI-on-the-fly content discovery technique.
Search result annotators helped organize results for clinical reporting purposes.
The ability to search for content using not just keywords – but using an exemplary piece of content – could enable hard ROI while also making possible other unexpected benefits:
ImplicitSearch™'s advantage over keywords is that it can *find* content *like* content. Which means that it can be trained on exemplary "inappropriate" promotional content to go find other content like it - implicitly. And this patent-pending capability is in addition to Boolean search.
Keyword search can lead to a high false positive rate which increases compliance cost because of the volume of manual confirmations required. ImplicitSearch™ can reduce false positives, thereby saving costs. And the patent-pending ImplicitSearch™ machine learning engines improve with use.
We will work with you / your services partners to integrate with enterprise systems or social media channels (where inappropriate promotional content may exist). We'll then train ImplicitSearch™ on what to look for. We can support with alerts and dashboard approaches.