NLP for investigator recruitment

Explore how data science and natural language processing (NLP) can uncover influence and relationships that accelerate clinical research for investigator and subject recruitment

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A data-driven approach to accelerate clinical research

 

Digital technology is transforming the way CROs enroll patients for clinical trials. Many organizations already utilize proprietary software to optimize the efficiency of patient recruitment. Yet these solutions do not necessarily utilize data science approaches, thereby ignore all unstructured inputs. However, a good deal of crucial information required by life sciences organizations are locked by unstructured clinical data. Medical records, data from imaging devices, wearables and sensors, health documents, publications, and articles - all this data, when sorted, labeled, and cleared, has the enormous potential to transform clinical research.

Let the numbers tell the story

36
the annual growth rate of the unstructured data in healthcare.
 
Source: Reinsel, David “The Digitization of the World From Edge to Core”
80
of all data collected in clinical trials is unstructured data.
 
Source: Grimes, Seth "Unstructured Data and the 80 Percent Rule"
86
of clinical trials fail to recruit patients on time
 
Source: Huanga, Grant. "Clinical trials recruitment planning: A proposed framework from the Clinical Trials Transformation Initiative"

How data science can help?

 
Discover 7 natural language processing and understanding techniques that Avenga uses to solve challenges which promote quick identification of influential Principal Investigators and accelerated Subject recruitment. Get actionable insights to boost your ROI and increase your profits. Utilize NLP techniques to form a scorecard of sites and investigators for future clinical trials.
 

Avenga-NLP-Whitepaper-Mockup

 

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Solve the following clinical trial challenges with the help of NLP

 

 

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Define the investigators that are most likely to be referred to by other doctors

 

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Assess the actual study population vs. the prospective population that can be treated

 

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Evaluate the recruitment potential of a specific site in terms of anticipated subjects per month

 

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“Refocusing your resources on targeting patients more effectively is the most important asset you can have to drive the success of your clinical trial.”

Michael DePalma,
President, Pensare LLC
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“It's not the amount of data that matters.
It matters what you do with the data.”

Lyubomyr Senyuk
Director Of Research Development at Avenga
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About Avenga

 

From drug development to drug commercialization, Avenga is a technology partner and integrator that helps the pharmaceutical industry players gain confidence that their technology-enabled projects will succeed. We apply technology within a new inclusive context while combining capabilities, aspirations, flexibility and innovation.

Our experience with tech solutions for top clinical research organizations and biotech firms enables us to deliver on the promise of digital technology for life science and to ensure a sustainable competitive advantage for our global clients.

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