CareDash Employs Sophisticated AI to Weed Out Fraudulent Reviews
Justin Lam — July 19, 2018 — Tech
References: caredash & venturebeat
Fraudulent reviews can often lead to unsatisfactory and ineffective visits to doctor's offices, but CareDash is hoping to solve this by leveraging AI. To accomplish this, the Cambridge, Massachusetts-based healthcare review site is employing a team of data scientists who battle would-be rating manipulators. The information garnered from these scientists feeds into a larger AI that will eventually be used to guarantee the authenticity of reviews.
Regardless of the content of the review, the system employed by CareDash treats all of them with the same level of unbiased scrutiny. The system then utilizes language processing to detect patterns in writing style and formatting and then attributes an internal score to the review—reviews with a low score are generally fraudulent and will never appear on the site.
Regardless of the content of the review, the system employed by CareDash treats all of them with the same level of unbiased scrutiny. The system then utilizes language processing to detect patterns in writing style and formatting and then attributes an internal score to the review—reviews with a low score are generally fraudulent and will never appear on the site.
Trend Themes
1. AI-powered Medical Reviews - Healthcare review sites are increasingly turning towards AI to ensure the authenticity of medical reviews, creating disruptive innovation opportunities for AI-powered data analysis in healthcare.
2. Unbiased Review Scrutiny - The introduction of the AI-powered system that treats all reviews with the same level of unbiased scrutiny allows healthcare review sites to increase the quality of review platforms through fair review analysis and scoring.
3. Language Processing for Review Analysis - The use of language processing to detect patterns in writing style and formatting creates a disruptive innovation opportunity for software developers to incorporate this technology within their products to improve review analysis processes.
Industry Implications
1. Healthcare Technology - Healthcare technology providers can adopt AI-driven data analysis for review platforms or software solutions to increase the authenticity and quality of the medical reviews and improve trust and loyalty among patients.
2. Online Review Platforms - The introduction of the AI-powered system with unbiased scrutiny scoring creates an opportunity for online review platforms across industries to clean up fraudulent and fake reviews leading to a more trustworthy review platform.
3. Language Processing Software - The use of language processing in review analysis can be leveraged by software solution providers to enhance the accuracy of review analysis and improve the value of their platforms to businesses reliant on online reviews.
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