A healthcare analytics company wanted to understand the patent landscape for AI-powered analytics platforms space, covering the last 10 years. They were interested in identifying patent rights of interest, as well as of potential concern, active players, and promising areas of innovation through patent data.
After a discussion about the client’s goals, research specifications and budget, we worked on the design of the project which involved three phases: initiation and planning, research, and analysis.
The first phase identified project scope, requirements, and timelines. In the research phase, we determined keywords, built search strings, and performed data cleanup. To build the dataset, we used a recall set and then checked for relevance. In the analysis phase, we did manual reviews of the dataset, created data visualizations, and performed technical and whitespace analysis.
Re-focus R&D efforts
The patent landscape report provided the client with valuable insights, allowing them to (re)focus their R&D efforts and patent strategy on underprotected areas of innovation.
Keep an eye on competitors
Our report and analysis revealed that competitors are actively pursuing patents that might potentially block our client’s innovations.
Compelling case to pursue patent protection
The results of the patent landscape and analysis built a more compelling case for the client to make more strategic moves to strengthen their position in the AI-enabled healthcare analytics platform space.
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Disclaimer:
1. Parola Analytics and Avontis are distinct entities and operate independently. Any references to Avontis or its services do not constitute a legal partnership.
2. Parola Analytics does not provide legal services. Our services are limited to research and technical analysis. Any information provided by Parola Analytics should not be construed as legal advice.