How AI is Driving Patient Centric Healthcare



    AI Data Science

    New whitepaper shows how AI is disrupting healthcare by putting power in the hands of patients

    Today’s consumers – including those of healthcare – expect choice and personalisation. This is creating huge pressure to overhaul the current healthcare paradigm.

    The likes of Netflix and Spotify disrupted complacent industries by putting consumer needs and convenience at their centre, and using algorithms to personalise mass market services. Now digital innovators in healthcare are doing the same - taking advantage of a superconvergence of technology, data, and connectivity to make healthcare services more targeted.

    At the heart of the patient centric revolution is effective use of ever-growing volumes of research and patient data, and the application of Artificial Intelligence (AI) and data science to it.

    Nurse helping a patient in a wheelchair

    Our new whitepaper explores how AI and data science are transforming life sciences throughout the value chain, and explains how organisations can deploy these tools to meet demand for patient centric approaches.

    Patient centricity is multi-faceted. It is about personalising drugs and treatment regimens for specific groups, adjusted for genetic makeup, lifestyle and medical history. It about faster and more accurate diagnoses, enabling more tailored responses. And it means a more personalised approach remote care and diseases prevention through tailored health and lifestyle support.

    AI’s value across these three areas comes from its ability to analyse huge amounts of complex data and spot meaningful connections that humans would struggle to see – such as those between drug chemistry and outcomes, or symptoms and disease, or lifestyle and disease progression.

    AI gives us unprecedented capability to decouple complex variables and reach a nuanced understanding of cause and effect at population, sub-population and even individual levels. This allows organisations to understand what their data is really telling them, and use it to develop targeted interventions.

    But despite the enthusiasm, AI is hard to do well, and there is high risk of failure.

    Our whitepaper looks at organisations that are getting it right, and draws lessons from a wide range of experts on how to harness AI and data science to deliver patient centric innovations across the value chain.

    The whitepaper includes:

    • A look a wide range of real-life AI innovations delivering improved drug discovery, diagnostics and smart wellbeing
    • Detailed use cases of how two organisations used AI effectively: finding candidate models for drugs, and using genetic data to diagnose rare diseases
    • Our best practice guide for delivering AI and data science projects in healthcare, drawn from a wide range of experts at Tessella, Altran, Cambridge Consultants and frog design

    Patient Centric Healthcare - The Role of AI and Data Science White Paper