Trend at a glance: Personalised healthcare & advances in data
Personalised healthcare will become the norm and real-world, real-time, medical records and personal data will be used to shape our future health and our choices.
Diagnosis, treatment and lifestyle interventions will be largely personalised with everyone wanting more granular, specific information based on their individual needs and preferences.
Personalised medicine will become routine, though at a high cost.
Big data will revolutionise healthcare, with large-scale data and data processors a core part of any decision-making.
Artificial intelligence doctors will be commonplace, with machine learning supporting the information processing and decision-making of human doctors.
What it means for HIV
In the next 20 years, the HIV: The Long View Coalition envisions…
The role of personalised medicine in treatment selection, management and prevention of associated chronic conditions in people with HIV will increase.
Personalised healthcare pathways supported by different healthcare professionals will exist to manage and prevent associated chronic conditions and comorbidities.
Greater sharing of data between large HIV cohort studies, and between disciplines will be improved by the development of new data processing technology and will support the management of associated chronic conditions.
People living with HIV will be at the forefront of pioneering big data and reap the benefits of personalised healthcare.
We need to have a vision for ensuring that personalisation is available in all European countries not just those with sophisticated healthcare systems. We need to make an effort not to create a three-speed Europe regarding personalised healthcare
– Luís Mendão, European Aids Treatment Group, Portugal
As personalisation technologies penetrate a wider range of everyday activities, we are beginning to feel the implications of massive data collection on our personal preferences or needs, and expectations of transparency are becoming sharper when it comes to data use and potential benefit to consumers. What will be the potential impact of data and technology for the delivery of personalised healthcare?
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