Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

被引:15
作者
Huang, Ming [1 ]
Zolnoori, Maryam [1 ]
Balls-Berry, Joyce E. [1 ]
Brockman, Tabetha A. [2 ,3 ]
Patten, Christi A. [2 ,3 ]
Yao, Lixia [1 ]
机构
[1] Mayo Clin, Dept Hlth Sci Res, 200 First St SW, Rochester, MN 55905 USA
[2] Mayo Clin, Commu Engagement Program, Ctr Clin & Translat Sci, Rochester, MN 55905 USA
[3] Mayo Clin, Dept Psychiat & Psychol, Rochester, MN 55905 USA
基金
美国国家卫生研究院;
关键词
patent; technological innovation; disease; research opportunity index; public health index; text mining; topic modeling; dynamic topic model; resource allocation; research priority; ANTIBODY THERAPY; BREAST-CANCER; GENE-THERAPY; DIAGNOSIS; TYPE-2; DERIVATIVES; ANTAGONISTS; DESIGN; POTENT;
D O I
10.2196/13316
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
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页数:14
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共 62 条
  • [1] Anticonvulsant activity and neuroprotection assay of 3-substituted-N-aryl-6,7-dimethoxy-3a, 4-dihydro-3H-indeno[1,2-c]pyrazole-2-carboxamide analogues
    Ahsan, Mohamed Jawed
    [J]. ARABIAN JOURNAL OF CHEMISTRY, 2017, 10 : S2762 - S2766
  • [2] [Anonymous], 2017, NEW CDC REP MOR 100
  • [3] [Anonymous], 2018, SCH CONNECTEDNESS
  • [4] [Anonymous], 2018, CANC STAT
  • [5] [Anonymous], 2017, Cancer facts & fi gures 2017-special section: rare cancers in adults
  • [6] An overview of MetaMap: historical perspective and recent advances
    Aronson, Alan R.
    Lang, Francois-Michel
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2010, 17 (03) : 229 - 236
  • [7] Use Your Words Carefully: What is a Chronic Disease?
    Bernell, Stephanie
    Howard, Steven W.
    [J]. FRONTIERS IN PUBLIC HEALTH, 2016, 4
  • [8] Using Social Media Data to Understand the Impact of Promotional Information on Laypeople's Discussions: A Case Study of Lynch Syndrome
    Bian, Jiang
    Zhao, Yunpeng
    Salloum, Ramzi G.
    Guo, Yi
    Wang, Mo
    Prosperi, Mattia
    Zhang, Hansi
    Du, Xinsong
    Ramirez-Diaz, Laura J.
    He, Zhe
    Sun, Yuan
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 19 (12)
  • [9] Blei D, GITHUB DYNAMIC TOPIC
  • [10] Latent Dirichlet allocation
    Blei, DM
    Ng, AY
    Jordan, MI
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) : 993 - 1022