The healthcare industry continues to be a hotbed of innovation, with activity driven by telemedicine, real-time diagnostics, smart hospitals and access to digital therapies, as well as the growing importance of technologies such as artificial intelligence (AI), the Internet of Things (IoT), augmented reality (AR), robotics and data management practices. In the last three years alone, there have been over 106,000 patents filed and granted in the healthcare industry, according to GlobalData’s report on Cybersecurity in Healthcare: AI-assisted medical data mining. Buy the report here.
According to GlobalData’s Technology Foresights, which uses over 443,000 patents to analyse innovation intensity for the healthcare industry, there are 200+ innovation areas that will shape the future of the industry.
AI-assisted medical data mining is a key innovation area in cybersecurity
Data mining is a technology by which the suggested, previously unidentified, and potentially usable information is extracted from a large volume of data in a nontrivial manner. Also known as knowledge discovery in databases, data mining helps in searching large databases for trends and other linkages using statistical approaches and has become very useful for business and research in several fields.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 10+ companies, spanning technology vendors, established healthcare companies, and up-and-coming start-ups engaged in the development and application of AI-assisted medical data mining.
Key players in AI-assisted medical data mining – a disruptive innovation in the healthcare industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to AI-assisted medical data mining
|Company||Total patents (2010 - 2021)||Premium intelligence on the world's largest companies|
|Illumina||65||Unlock company profile|
|Alphabet||19||Unlock company profile|
|Venn Biosciences||16||Unlock company profile|
|Tempus Labs||12||Unlock company profile|
|Tata Sons||11||Unlock company profile|
|4D Pharma||10||Unlock company profile|
|International Business Machines||10||Unlock company profile|
|Deep Genomics||10||Unlock company profile|
|New York Genome Center||9||Unlock company profile|
|Petuum||8||Unlock company profile|
|Freenome||8||Unlock company profile|
|Anixa Biosciences||8||Unlock company profile|
|FDNA||8||Unlock company profile|
|Siemens||7||Unlock company profile|
|Human Longevity||6||Unlock company profile|
|Inflammatix||6||Unlock company profile|
|Koninklijke Philips||6||Unlock company profile|
|BenevolentAI||5||Unlock company profile|
Source: GlobalData Patent Analytics
In terms of application diversity, Siemens leads the pack, followed by Tata Sons and Human Longevity. With regards to geographic reach, 4D Pharma leads, followed by New York Genome Centre and Venn Biosciences.
The use of AI in data mining in the healthcare industry is of great help as the industry stores a lot of patients' data that needs to be kept private. AI helps in detecting any anomaly or threat to data while mining the data from the records.
To further understand how cybersecurity is disrupting the healthcare industry, access GlobalData’s latest thematic research report on Cybersecurity in Healthcare.