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 3. 2020 Bio-IT World Innovative Practices Award


2020 BIO-IT WORLD INNOVATIVE PRACTICES AWARD

Roche wins 2020 Bio-IT World Innovative Practices Award for use of Linguamatics
NLP in patient-focused research
6th Jul 2020
Jane Reed

Cambridge Healthtech Institute and Bio-IT World have awarded Roche a 2020
Innovative Practices Award in Focused Research for their use of the IQVIA
Linguamatics Natural Language Processing (NLP) platform to glean patient
insights from social media to improve clinical trial design.

Each year, Bio-IT World highlights outstanding examples of technology innovation
in the life sciences. The Innovative Practices Awards are designed to recognize
partnerships and projects pushing the industry forward, by sharing strategies
that can be implemented across the industry to improve the quality, pace, and
reach of the life sciences.


NLP OVER SOCIAL MEDIA IDENTIFIES CLINICAL ENDPOINTS RELEVANT TO PARKINSON’S
DISEASE PATIENTS

Bio-IT World judges selected Roche in the patient-focused research category for
its work to discover if social media, particularly patient blogs and forums, can
provide a good substrate to develop clinical endpoints relevant to Parkinson’s
disease patients. Roche researchers established a series of NLP-based text
mining queries to analyze patient discussions around Parkinson’s. The study
identified symptoms confirmatory of the clinical trial endpoints, and also
revealed new symptoms; a number of which have been added to the conceptual
disease model used in the clinical trial.


NLP THAT SPEEDS TIME TO PATIENT-FOCUSED INSIGHTS AT REDUCED COSTS

By performing an NLP-enabled social media text-mining analysis Roche enhanced
its understanding of symptoms that impact Parkinson’s patients. These insights
can be used to improve the design of future clinical trials, ensuring that new
models encompass patient needs. By using NLP to analyze social media data, Roche
researchers were able to rapidly collect and analyze patient-reported outcomes.
Capturing this sort of information using primary market research and patient
interviews is time-consuming, resource intensive and expensive.

For example, a primary market research exercise with patient reviews may cost in
the region of $150,000 and take six months. In comparison, the Roche team
estimated the NLP-enable approach required 11 days of effort at a total employee
cost of approximately $10,000.  In addition, compared to standard approaches
such as patient interviews, the number of data points collected and the insights
gained demonstrated that social media mining is a highly effective approach to
collect patient-reported outcomes. Indeed, the new capabilities defined in this
project can be re-used effectively for future studies in other disease areas,
which Roche is already doing.


ENCOMPASSING PATIENT NEEDS THROUGH PATIENT-CENTERED DRUG DEVELOPMENT

Roche’s approach is an example of patient-centered drug development (an FDA
initiative) and ensures that clinical disease models encompass patient needs.
The Linguamatics team congratulates Roche for winning this well-deserved award
and for their innovative use of technology to advance research. This is the
third consecutive year that Linguamatics or one of our partners has earned a Bio
IT World award: In 2019, Novo Nordisk won an Innovative Practices Award for its
workflow to integrate NLP to generate actionable insights from real world data;
and, in 2018, the Linguamatics team were recognized with the prestigious Bio-IT
World’s Best of Show Judges’ Prize.




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