Abstract
Purpose The purpose of this paper is to present the use of a free code computational tool, Patent2net, in the search of patents for the implementation of distance learning aimed at Continuing Medical Education. Design/methodology/approach This technical report is based on the extraction, organization and availability, in the format of graphs and dynamic tables, and also based on information in other patents on the subject, made available in the Espacenet database. Findings As a result, it was possible to identify a Chinese patent, free for reproduction in Brazil, which describes an e-learning system that simulates 3D scenarios for training nursing teams. Research limitations/implications The paper has used one unique patent database, but containing more than 100m documents. Practical implications The selected patent can contribute to the improvement of care and behavioral techniques of the health professionals. Social implications The training of health professionals can improve the public and supplementary health systems. Originality/value This is the first paper in that de technometric analisys of patents was used to solve a problem regarding the training of health professionals.
Highlights
The study of patents can be considered important since these documents constitute a vast source of information and technological knowledge, reporting innovations and inventions in the most varied subjects and sectors (Bergek et al, 2015)
The purpose of this paper is to demonstrate how the Patent2net computational tool collects and organizes the massive amounts of information related to distance learning (DL) patents – which is focused on continuing medical education – reinforcing its importance as an example of an Open Patent Service (OPS) for the whole society
This paper presents the tools and platforms available for fast and efficient extraction, organization and presentation of patent information, and highlights the organization and presentation of data made by Patent2net based on Espacenet, which discovered patent documents in DL, focused on Continuing Medical Education
Summary
The study of patents can be considered important since these documents constitute a vast source of information and technological knowledge, reporting innovations and inventions in the most varied subjects and sectors (Bergek et al, 2015). Storopoli (2016) reported that there are few studies related to patents and distance learning (DL), and this number is further reduced when trying to identify DL patents for continuing medical education (Hassanzadeh, Kanaani, & Elahi, 2012; Hung, 2012) To address this shortage, the present study addresses the following question: “How can we increase and disseminate knowledge in DL patents in the area of continuing medical education using a data mining tool?”. In order to answer this question, this paper uses a qualitative research method – with a descriptive character – to demonstrate how information about DL patents related to continuing medical education can be extracted, organized and made available, in the form of graphs and dynamic tables In this context, the purpose of this paper is to demonstrate how the Patent2net computational tool collects and organizes the massive amounts of information related to DL patents – which is focused on continuing medical education – reinforcing its importance as an example of an Open Patent Service (OPS) for the whole society. Through the use of this computational tool, information related to patents, previously deposited only in the deep web, becomes accessible in dynamic search interfaces available on the surface web, contributing to the expansion of technical and scientific knowledge, which in turn can bring a series of benefits to the nations or corporations that make use of them, promoting the creation of practical improvements in various aspects of daily life
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