Year 2020 highlighted the importance of investing in efficient and intelligent healthcare systems. This sector, increasingly overloaded with senstive data has a lot of scope for improvement using new technogies such as Artificial Intelligence and Machine Learning.
The versatility of AI and the diverse yet specialist needs of the healthcare sector make for a great partnership to augment human expertise, improve access to quality healthcare and reduce cost to provide better patient outcomes. Over the next decade, AI will give healthcare professionals tools to identify and prevent health conditions before they occur, reducing the level of demand of public healthcare services overall.
Leveraging AI tools to drive electronic health record data analytics can help to identify conditions before they begin to show symptoms.
Benefits:
Faster and more accurate diagnosis
Better change of successful treatment
Less healthcare costs for avoided care
AI can be used to analyse unstructured datasets such as handwritten note.s, legacy files or PDF documents.
Benefits:
Reduced wait times
Streamlines processes
More time for doctors to focus on care
NLP can analyze patient interactions and historical data and automate medical prescriptions.
Benefits:
Increased doctor’s productivity
Less risk for human error
AI-based capabilities can be effective in personalising and contextualising care by driving nuanced interventions along the care continuum.
Benefits:
More accurate treatment
Better efficacy of care
Our client runs a SaaS platform that indexes and summarises large quantities of medical information, enabling faster search and retrieval of relevant information when required.
Our client wanted to understand how AI and ML could be leveraged to understand different consumer requests in relation to the products.
Brainpool consulted with the client to create a B2C e-commence and B2B clinical research platform. We advised on the types of technology stacks and infrastructure required to build a machine learning & natural language programming (NLP) driven recommendation engine using knowledge graphs.
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