Star Health filed a patent application titled "system and Method for Automated Content Creation and Distribution Using Machine Learning-Based Template." The invention claimed an AI-driven platform capable of automaticall

CS Professional · Intellectual Property Rights - Law and Practice · PYQS · June 2026
Star Health filed a patent application titled "system and Method for Automated Content Creation and Distribution Using Machine Learning-Based Template." The invention claimed an AI-driven platform capable of automatically selecting design templates, adjusting layouts, analysing user engagement data and redistributing optimized content through a cloud-based infrastructure. The objective was to enhance digital marketing efficiency in the pharmaceutical sector in the wake of the recent pandemic. The invention aimed to deal with future global threats to human life through coordination and by using machine learning algorithms and customise promotional materials to facilitate faster and equitable access to health products. During examination, the Indian Patent Office (IPO) raised objections under Section 3(k) of the Patents Act, 1970, which excludes "a mathematical or business method or a computer programme per se or algorithms" from patentability. The Controller observed that although the invention was framed as a "system and method", its core contribution lay in a computer programme executing algorithms for template selection and optimization. The claimed invention did not disclose any novel hardware component, nor did it demonstrate an improvement in the functioning of a computer system. It was implemented on general-purpose computers and servers without any technical modification to hardware architecture. The IPO concluded that the invention merely automated a business or marketing process using software and machine learning techniques. The advancement claimed was commercial or administrative in nature rather than technical. Consequently, the application was refused under Section 3(k) of the Patent Act, 1970 as being a computer programme per se. Based upon the facts of the case, answer the following questions: What is TRIZ methodology? What are the uses of TRIZ methodology in the field of patent?

Answer & Explanation:

Answer 1(c) Patent information provides a source of technological information that can be used by researchers and inventors to find new solutions to technical problems. A specific methodology developed on the basis of patent information is the TRIZ methodology (Russian acronym for 'Teorya Resheniya Izobreatatelskikh Zadatch', Theory of the Solution of Inventive Problems). TRIZ is a toolkit built upon the systematic analysis of millions of global patents. Based on the study and analysis of a set of worldwide patent documents, Genrich Altshuller and his colleagues developed the TRIZ methodology. Starting in 1946, TRIZ began with hypothesis that there are universal principles of invention that are the basis for creative innovations which advance technology, and that if these principles could be identified and codified, they could be taught to people to create or enhance their inventive capabilities. The TRIZ research has proceeded in several stages and more than 2 million patent documents have been examined, classified by level of inventiveness and analyzed to look for principles of innovation. TRIZ is currently being applied internationally to create and to improve products, services and systems. Large and small companies, including many Fortune 500 companies are using TRIZ on many levels to solve real and practical problems and to develop strategies for the future of technology. Based on one of the conclusions of the theory, that inventiveness and creativity can be learned, universities worldwide have introduced undergraduate courses related to the TRIZ methodology to enhance creativity and inventive thinking abilities of students. Patent information, therefore, provides an extremely useful source of information for learning and developing creative problem solving and innovation strategies.

Topics: Patents

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