J-Stream Obtains Patent for Proprietary Analysis Technology Quantifying "Doctor Reactions" in Web Lectures
J-Stream obtained a domestic patent for the core technology of 'WebinarAnalytics', integrating viewing logs and reactions to quantify doctor engagement and drop-off points in web lectures.
📋 Article Processing Timeline
- 📰 Published: April 8, 2026 at 21:00
- 🔍 Collected: April 8, 2026 at 12:30
- 🤖 AI Analyzed: April 21, 2026 at 01:58 (301h 27m after Collected)
J-Stream Inc. (Growth Market: 4308, President: Toshio Ishimatsu, hereinafter J-Stream) announces that it has obtained a patent in Japan for the core technology related to its web lecture data analysis service "WebinarAnalytics". This patent relates to an analysis technology that integrates viewing logs and active reactions to quantify the reactions of doctors who viewed web lectures, identifying their "moments of peak interest" and "drop-off points". WebinarAnalytics, equipped with this technology, goes beyond visualizing reactions and quantifies the level of understanding and interest in the lecture using quantitative indicators.
## Background of Patent Acquisition
In the marketing activities of pharmaceutical companies, web lectures have become an extremely important channel for delivering information to doctors. However, conventional analysis was limited to aggregating the number of viewers and viewing time, making it difficult to grasp differences in reactions and interests regarding the lecture content, such as "which slide the doctor showed interest in" or "at which scene they dropped off".
To solve this issue, J-Stream developed a unique analysis algorithm based on the data and knowledge accumulated through years of supporting web lectures. This time, its originality and usefulness have been officially recognized, leading to the acquisition of the patent.
## Overview of the Patented Technology
This patent (Patent No. 7835640) is a technology that integrates participants' "passive viewing logs (stay time and drop-off points)" and "active reactions (likes, questions, questionnaire answers, etc.)" during viewing using a proprietary logic.
### What can be achieved with this technology
1. Scene-by-scene reaction analysis: Visualizes the rise in interest and drop-off status for each slide.
2. Evaluates the understanding and interest level of the lecture content as a score: Combines viewing logs and reactions to evaluate the results of the lecture on a 100-point scale.
3. Comparative analysis with industry standards: Understands the relative positioning of the company's own web lectures by comparing them with statistical standard values in the same disease area.
## Future Outlook
With this patent acquisition, J-Stream will provide analysis axes based on its proprietary algorithm and further strongly support the data-driven marketing of pharmaceutical companies. In the future, we will strengthen the foundation to evolve web lectures into "marketing measures whose results can be evaluated" by strengthening CRM (customer relationship management) system integration and utilizing AI for viewing behavior analysis.
## Patent Overview
Patent Number: No. 7835640
Title of Invention: Lecture Analysis System and Lecture Analysis Device
Patent Holder: J-Stream Inc.
Registration Date: March 16, Reiwa 8 (2026)
## About WebinarAnalytics
WebinarAnalytics is a solution specialized in data analysis that helps pharmaceutical companies maximize their results in web lectures. By multiplying viewers' "passive viewing logs" and "active reactions", the "quality" of the lecture is quantified with a maximum score of 100 points.
It realizes "grasping the degree of interest on a slide-by-slide basis" and "comparison with statistical industry standards by disease area". Based on objective indicators, it provides highly accurate insights for improving the content of the next lecture and optimizing MR activities.
## Background of Patent Acquisition
In the marketing activities of pharmaceutical companies, web lectures have become an extremely important channel for delivering information to doctors. However, conventional analysis was limited to aggregating the number of viewers and viewing time, making it difficult to grasp differences in reactions and interests regarding the lecture content, such as "which slide the doctor showed interest in" or "at which scene they dropped off".
To solve this issue, J-Stream developed a unique analysis algorithm based on the data and knowledge accumulated through years of supporting web lectures. This time, its originality and usefulness have been officially recognized, leading to the acquisition of the patent.
## Overview of the Patented Technology
This patent (Patent No. 7835640) is a technology that integrates participants' "passive viewing logs (stay time and drop-off points)" and "active reactions (likes, questions, questionnaire answers, etc.)" during viewing using a proprietary logic.
### What can be achieved with this technology
1. Scene-by-scene reaction analysis: Visualizes the rise in interest and drop-off status for each slide.
2. Evaluates the understanding and interest level of the lecture content as a score: Combines viewing logs and reactions to evaluate the results of the lecture on a 100-point scale.
3. Comparative analysis with industry standards: Understands the relative positioning of the company's own web lectures by comparing them with statistical standard values in the same disease area.
## Future Outlook
With this patent acquisition, J-Stream will provide analysis axes based on its proprietary algorithm and further strongly support the data-driven marketing of pharmaceutical companies. In the future, we will strengthen the foundation to evolve web lectures into "marketing measures whose results can be evaluated" by strengthening CRM (customer relationship management) system integration and utilizing AI for viewing behavior analysis.
## Patent Overview
Patent Number: No. 7835640
Title of Invention: Lecture Analysis System and Lecture Analysis Device
Patent Holder: J-Stream Inc.
Registration Date: March 16, Reiwa 8 (2026)
## About WebinarAnalytics
WebinarAnalytics is a solution specialized in data analysis that helps pharmaceutical companies maximize their results in web lectures. By multiplying viewers' "passive viewing logs" and "active reactions", the "quality" of the lecture is quantified with a maximum score of 100 points.
It realizes "grasping the degree of interest on a slide-by-slide basis" and "comparison with statistical industry standards by disease area". Based on objective indicators, it provides highly accurate insights for improving the content of the next lecture and optimizing MR activities.