Nokia Bell Labs and Equideum Health have partnered to enable people to own and benefit from their own personal health data. The collaboration will use data generated from smartphones, wearables, video feeds and home health devices. Data analysis will also be essential to help clinicians, pharmaceutical companies and researchers obtain information quickly from the data, as well as shorten the time required for clinical trials.

In April 2022, Nokia Bell Labs and Equideum Health announced a partnership focused on empowering people to own and benefit from their personal health data. The collaboration will use rapidly expanding datasets generated by wearables and other end devices, including a growing set of home medical devices. The basic premise is that while health data is growing exponentially, no one has devised a way to collect, centralize and use it for almost real-time meaningful insights. Edge computing, AI, ML and blockchain technologies are now available to achieve this by collecting and analyzing different types of data from a wide variety of devices (eg wearables, sensors, smartphones and video feeds). Partners also expect to enable the flow of innovation without companies worrying about sharing their own information or individuals worrying about sharing their personal information without knowing who has access to it. Beneficiaries of this vision will include consumers, healthcare providers, pharmaceutical companies, researchers, institutions, medical device manufacturers and potentially many start-ups excited about accessing high-quality, verifiable health data sets.

The communication focuses on peripheral calculations for processing large volumes of data locally (eg by calculating and storing the device itself or with data sent to local / regional data centers or potentially home or corporate access points) and to ensure the confidentiality of data. persons who agree to provide their data. However, the use of AI and machine edge learning algorithms will also be a real-time analysis tool for these large volumes of decentralized and aggregated health data. The analysis will be essential to help clinicians, pharmaceutical companies and researchers quickly obtain information from the data, as well as shorten the time for clinical trials.

Nokia will also contribute to its Nokia Data Marketplace (NDM), a SaaS offering embedded in Ethereum’s public blockchain architecture to maintain self-identity, data and privacy. Equideum will use NDM as a key element of its new Equideum Exchange, which allows individuals to earn revenue from their personal health data and also allows businesses that are part of the Equideum Data Integrity and Training (DILN) networks, to take advantage of new data. economy.

The first of the two projects in the partners’ roadmap includes an earable prototype of Nokia Bell Labs, a smart device worn in the ear that uses signal processing and ML on the cognitive enhancement device. Earable will be integrated as a representative end device in the planned direct to consumers offering of Equideum Health. The second project will be the implementation of a collaborative ML environment that preserves the confidentiality of user data and AI / ML models during training and learning. Nokia and Equideum have specific plans for their partnership, but their vision is broad-based to do what many in the public and private sectors have theorized for years – to collect huge amounts of decentralized health data from explicitly agreed persons, to summarize it in regional or global basis and apply data analysis to gain insight and improve health outcomes, while allowing different users to generate revenue from the data. Nokia has more plans for this type of data collection / monetization than its partnership with Equideum. He hopes to replicate the model of data sharing and analysis in other verticals, including government, airlines, other health initiatives and telecommunications.

Both partners are concerned about convincing users that they can safely provide and use their personal data. They have not clarified what exactly the consumer will “get” from their contribution. In theory, they can literally get paid; they are likely to receive an analysis of their own aggregated health data, which is now likely fragmented into digital or non-digital notes in different doctor’s offices or collected from individual smartphone applications, but not shared with the user in detail. They will help improve their own and others’ health outcomes and help companies provide better health products and services. Obviously, this message needs to be better expressed by the partners.

Technology providers and operators need to analyze what their role should be in this ‘new’ data economy and how they can generate revenue from large volumes of data that can be collected, centralized and analyzed in key verticals. They are already involved, providing technologies such as wearables, peripherals, AI, ML and blockchain, 5G and related orchestration initiatives and services. Although operators already play a role, they need to devise a strategy to see if they can get more space at the table when it comes to monetizing data, especially if a fair share of the data comes from their own smartphones, wearables and connected home medical devices. devices and transferred to its networks.

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