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Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017
BACKGROUND: Patents are important intellectual property protecting technological innovations that inspire efficient research and development in biomedicine. The number of awarded patents serves as an important indicator of economic growth and technological innovation. Researchers have mined patents...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611693/ https://www.ncbi.nlm.nih.gov/pubmed/31038462 http://dx.doi.org/10.2196/13316 |
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author | Huang, Ming Zolnoori, Maryam Balls-Berry, Joyce E Brockman, Tabetha A Patten, Christi A Yao, Lixia |
author_facet | Huang, Ming Zolnoori, Maryam Balls-Berry, Joyce E Brockman, Tabetha A Patten, Christi A Yao, Lixia |
author_sort | Huang, Ming |
collection | PubMed |
description | BACKGROUND: Patents are important intellectual property protecting technological innovations that inspire efficient research and development in biomedicine. The number of awarded patents serves as an important indicator of economic growth and technological innovation. Researchers have mined patents to characterize the focuses and trends of technological innovations in many fields. OBJECTIVE: To expand patent mining to biomedicine and facilitate future resource allocation in biomedical research for the United States, we analyzed US patent documents to determine the focuses and trends of protected technological innovations across the entire disease landscape. METHODS: We analyzed more than 5 million US patent documents between 1995 and 2017, using summary statistics and dynamic topic modeling. More specifically, we investigated the disease coverage and latent topics in patent documents over time. We also incorporated the patent data into the calculation of our recently developed Research Opportunity Index (ROI) and Public Health Index (PHI), to recalibrate the resource allocation in biomedical research. RESULTS: Our analysis showed that protected technological innovations have been primarily focused on socioeconomically critical diseases such as “other cancers” (malignant neoplasm of head, face, neck, abdomen, pelvis, or limb; disseminated malignant neoplasm; Merkel cell carcinoma; and malignant neoplasm, malignant carcinoid tumors, neuroendocrine tumor, and carcinoma in situ of an unspecified site), diabetes mellitus, and obesity. The United States has significantly improved resource allocation to biomedical research and development over the past 17 years, as illustrated by the decreasing PHI. Diseases with positive ROI, such as ankle and foot fracture, indicate potential research opportunities for the future. Development of novel chemical or biological drugs and electrical devices for diagnosis and disease management is the dominating topic in patented inventions. CONCLUSIONS: This multifaceted analysis of patent documents provides a deep understanding of the focuses and trends of technological innovations in disease management in patents. Our findings offer insights into future research and innovation opportunities and provide actionable information to facilitate policy makers, payers, and investors to make better evidence-based decisions regarding resource allocation in biomedicine. |
format | Online Article Text |
id | pubmed-6611693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-66116932019-07-26 Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 Huang, Ming Zolnoori, Maryam Balls-Berry, Joyce E Brockman, Tabetha A Patten, Christi A Yao, Lixia J Med Internet Res Original Paper BACKGROUND: Patents are important intellectual property protecting technological innovations that inspire efficient research and development in biomedicine. The number of awarded patents serves as an important indicator of economic growth and technological innovation. Researchers have mined patents to characterize the focuses and trends of technological innovations in many fields. OBJECTIVE: To expand patent mining to biomedicine and facilitate future resource allocation in biomedical research for the United States, we analyzed US patent documents to determine the focuses and trends of protected technological innovations across the entire disease landscape. METHODS: We analyzed more than 5 million US patent documents between 1995 and 2017, using summary statistics and dynamic topic modeling. More specifically, we investigated the disease coverage and latent topics in patent documents over time. We also incorporated the patent data into the calculation of our recently developed Research Opportunity Index (ROI) and Public Health Index (PHI), to recalibrate the resource allocation in biomedical research. RESULTS: Our analysis showed that protected technological innovations have been primarily focused on socioeconomically critical diseases such as “other cancers” (malignant neoplasm of head, face, neck, abdomen, pelvis, or limb; disseminated malignant neoplasm; Merkel cell carcinoma; and malignant neoplasm, malignant carcinoid tumors, neuroendocrine tumor, and carcinoma in situ of an unspecified site), diabetes mellitus, and obesity. The United States has significantly improved resource allocation to biomedical research and development over the past 17 years, as illustrated by the decreasing PHI. Diseases with positive ROI, such as ankle and foot fracture, indicate potential research opportunities for the future. Development of novel chemical or biological drugs and electrical devices for diagnosis and disease management is the dominating topic in patented inventions. CONCLUSIONS: This multifaceted analysis of patent documents provides a deep understanding of the focuses and trends of technological innovations in disease management in patents. Our findings offer insights into future research and innovation opportunities and provide actionable information to facilitate policy makers, payers, and investors to make better evidence-based decisions regarding resource allocation in biomedicine. JMIR Publications 2019-04-30 /pmc/articles/PMC6611693/ /pubmed/31038462 http://dx.doi.org/10.2196/13316 Text en ©Ming Huang, Maryam Zolnoori, Joyce E Balls-Berry, Tabetha A Brockman, Christi A Patten, Lixia Yao. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.04.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Huang, Ming Zolnoori, Maryam Balls-Berry, Joyce E Brockman, Tabetha A Patten, Christi A Yao, Lixia Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 |
title | Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 |
title_full | Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 |
title_fullStr | Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 |
title_full_unstemmed | Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 |
title_short | Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 |
title_sort | technological innovations in disease management: text mining us patent data from 1995 to 2017 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611693/ https://www.ncbi.nlm.nih.gov/pubmed/31038462 http://dx.doi.org/10.2196/13316 |
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