2021
DOI: 10.2196/29238
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Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus

Abstract: Background Gaining insights that cannot be obtained from health care databases from patients has become an important topic in pharmacovigilance. Objective Our objective was to demonstrate a use case, in which patient-generated data were incorporated in pharmacovigilance, to understand the epidemiology and burden of illness in Japanese patients with systemic lupus erythematosus. Methods We used data on system… Show more

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Cited by 6 publications
(3 citation statements)
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“…We can observe that, in 2021, researchers mainly concentrated on studying English-language data. Indeed, compared to previous years, a fewer number of languages were covered: Chinese [3][4][5][6][7][8][9][10], Dutch [11], French [12,13], Italian [14][15][16], Japanese [17], Korean [18,19], Norwegian [20], and Spanish . Besides, except for Chinese, there were also very few works done for the languages represented in publications.…”
Section: Languages Addressedmentioning
confidence: 99%
“…We can observe that, in 2021, researchers mainly concentrated on studying English-language data. Indeed, compared to previous years, a fewer number of languages were covered: Chinese [3][4][5][6][7][8][9][10], Dutch [11], French [12,13], Italian [14][15][16], Japanese [17], Korean [18,19], Norwegian [20], and Spanish . Besides, except for Chinese, there were also very few works done for the languages represented in publications.…”
Section: Languages Addressedmentioning
confidence: 99%
“…In recent years, Natural language processing (NLP) tools have disrupted a number of industries where large unstructured text documents are commonplace 23,24 . The advent of models such as convolutional neural networks and transformer neural networks has enabled the development of AI systems which can understand complex natural language documents, such as contracts, or insurance claims [25][26][27][28] . Clinical trial protocols may be several hundred pages long and require a large time investment by highly qualified people to interpret fully.…”
Section: Natural Language Processingmentioning
confidence: 99%
“…Regarding such data, some patients in Japan who had adopted the custom of writing tōbyōki , which are diaries about their longitudinal experience with diseases [ 14 ], began posting their tōbyōki as blogs in the mid-1990s. These tōbyōki blogs, in combination with natural language processing (NLP) [ 15 ], facilitate a qualitative understanding of treatment experiences and feelings [ 16 , 17 ]. Nonetheless, a qualitative description alone is not sufficient to make decisions that could improve patient care, and effective methods for visualizing patient anxieties and frustrations are needed.…”
Section: Introductionmentioning
confidence: 99%