The new NHS Learning Hub (Beta) with its critical COVID-19 content, was launched at the end of last month by Health Education England (HEE) and its Technology Enhanced Learning (TEL) team. The current COVID-19 crisis has acted as a catalyst to the existing NHS Learning Hub project with Findwise, in order to supply the NHS, and the wider health and care workforce, with accurate and trustworthy COVID-19 content and information.
The COVID-19 crisis has highlighted the principles and processes needed to distribute accurate and trustworthy data, information and knowledge for personal or collaborative use.
Findwise IM Consultant, Peter Voisey, quotes:
“For many organisations, such data governing principles and processes are often restricted to a limited slice of business-critical data or their website. The COVID-19 crisis further emphasizes the need for the controlled and fast distribution of reliable and easily consumable data and content. The tech is here now for any organisation to properly take control of its own data within its firewall and its collaborative ecosystem.”
The Learning Hub will soon develop to collate and curate other learning resources in varying formats from hundreds of existing fragmented portals. The Hub search will include a number of AI elements, including Natural Language Processing (NLP) and Machine Learning (ML).
The use of AI means that content providers do not have to go through the inconsistent and unreliable process of “tagging” uploaded content in order to match the differing query language and perspectives of all the potentially one million plus doctors, nurses and social workers who will be accessing the enhanced learning services.
Instead the Learning Hub, via the AI search functionality, can understand both the content and the end user query by using a Knowledge Graph built specifically for COVID-19. The Knowledge Graph is employed to automatically and consistently annotate and structure the data, essentially making the data smarter and thus more readily findable. The Knowledge Graph is encoded knowledge that Search, or any other application, can use to become “smart”. This knowledge in a Knowledge Graph, say, as in the case of Google Search, is in fact what gives an AI application its “intelligence” – and it provides a sound logical base from which Machine Learning (ML) can operate more sustainably.
The Learning Hub will be able to improve its service by “listening” to the cumulative digital signals of its end users, similar say, to Amazon’s online shopping service, by sorting content using end user ratings and by pushing content to staff, based on the similar end-user behaviour of others.
The future success of an agile organisation relies on applications being able to understand data meaning and context, as in the case here. Equally important are the breaking of data silos, the creation of data interoperability and data governance to ensure that trustworthiness, compliance, security and data value become a reality, regardless of on-premise or cloud data. The Knowledge Graph can play an important role in all of these.
Digital organisations that adopt this more data-centric approach are also more able to adjust their business model(s) more quickly in response to unforeseen crises or recognition of new trends in data.
Contact Findwise to learn more about Digital Transformation and other Knowledge Graph-based Search and AI applications.
Peter Voisey (Information Management) firstname.lastname@example.org +46708113323
Anders Häggdahl (Sales) email@example.com +46708150188