Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa

精神科 计算机科学 医学
作者
Eunji Jeon,Naeun Yoon,So Young Sohn
出处
期刊:Technological Forecasting and Social Change [Elsevier BV]
卷期号:186: 122130-122130 被引量:79
标识
DOI:10.1016/j.techfore.2022.122130
摘要

Coronavirus disease 2019 (COVID-19) has accelerated the growth of the digital therapeutics (DTx) market; therefore, development strategies for new DTx products are necessary to satisfy market needs. However, data-driven methods for recommending digital healthcare technologies for novel DTx applications are scarce. We propose a technology opportunity discovery framework that recommends 1) potential technologies as new DTx products, and 2) the applicable target disorders. We applied BERTopic and PatentSBERTa to patents filed with the United States Patent and Trademark Office and calculated the score of potential technologies on the basis of their thematic characteristics with respect to their digital capabilities and similarity to DTx technologies. By identifying the target disorder of similar technologies, specific disorders were proposed that can be treated with the proposed technique. By applying the proposed framework to psychiatric disorders—one of the largest therapeutic areas of DTx, we recommend digital monitoring technologies applicable to poor breathing or sleeping patterns for cognitive impairment. Furthermore, we provide strategies to utilize the recommended digital technologies for DTx for specific disorders to facilitate a direct intervention or treatment, which can contribute to the planning of roadmaps for DTx. • The framework identifies technologies for potential digital therapeutics (DTx). • They are derived using BERTopic and PatentSBERTa. • We apply the framework to psychiatric therapeutic areas for empirical study. • The proposed data-driven approach can assist firms in planning their DTx roadmaps.
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