NEW - Request ImplicitSearch™ for Medical Literature Solution Information

ImplicitSearch™ by WeR.ai

ImplicitSearch™ by WeR.aiImplicitSearch™ by WeR.aiImplicitSearch™ by WeR.ai

ImplicitSearch™ by WeR.ai

ImplicitSearch™ by WeR.aiImplicitSearch™ by WeR.aiImplicitSearch™ by WeR.ai
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    • Home
    • What is ImplicitSearch™?
    • Implicit Classification
    • Life Sciences
    • HR and Recruiting
    • Q&A Intelligence
    • Higher Education
    • Setup and Usage
    • Licensing
    • About
    • FAQs
    • Contact
  • Home
  • What is ImplicitSearch™?
  • Implicit Classification
  • Life Sciences
  • HR and Recruiting
  • Q&A Intelligence
  • Higher Education
  • Setup and Usage
  • Licensing
  • About
  • FAQs
  • Contact

Request Solution Presentation

Enter your email to receive a PDF file overview of our ImplicitSearch™ Solution for Medical Literature.

ImplicitSearch™ Solution for Medical Literature

Solution Essentials

Solution Essentials

Solution Essentials

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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.

How it Works

Solution Essentials

Solution Essentials

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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.

Significant Value

Solution Essentials

Buy the Right Publications

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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.

Buy the Right Publications

Unlimited Users and Searches

Buy the Right Publications

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Quickly training ImplicitSearch™ on the abstract of an exemplary publication allows Medical Writers to identify which full manuscripts "like the exemplars" may be worth purchasing.

Unlimited Users and Searches

Unlimited Users and Searches

Unlimited Users and Searches

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We impose no limits on the number of users or searches at your company account level.

Quick Time to Value

Unlimited Users and Searches

Unlimited Users and Searches

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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.

Case Study - Fortune-500 Medical Devices Company

Situation

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. 

Approach

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.

Solution

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.

Results

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:


  • Cost-Savings: By allowing investigators to more quickly find what they are looking for, the medical devices company estimated it could save over $10M USD per year in Medical Writer consultant fees. 


  • Performance & Consistency: Because keywords and complex Boolean strings are not required for “pointing the ImplicitSearch™ engines in the right direction”, inexperienced investigators can be more effective, with search efforts across teams being more consistent.


  • Expert-Initiated Investigations: Experts can initiate investigative sessions by training an ImplicitSearch™ engine on an exemplar, then handing off that search session to others who are less experienced in the domain. This “flips the script” on this type of work (it’s commonplace for staff or clerks to start an investigation then send their findings to a senior-level expert who determines relevancy to the task).


  • The solution could serve as a literature “Discovery” tool because the content used to train the ImplicitSearch™ engines needn’t be existing publications; investigators could instead use elaborately crafted hypotheses to train the engines – the results from which being seen as “evidence of those hypotheses”.  

Off-Label Promotion Detection

Better Detect Off-Label Promotion

Better Detect Off-Label Promotion

Better Detect Off-Label Promotion

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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.

Reduce False Positives

Better Detect Off-Label Promotion

Better Detect Off-Label Promotion

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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.

Connect - Tune - Discover

Better Detect Off-Label Promotion

Connect - Tune - Discover

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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.

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