TECHNOLOGY
“ WE ARE NOW MOVING TOWARD A SETTING WHERE INSIGHTS FROM ADDITIONAL HEALTH- RELEVANT DATA CAN BE OBTAINED TO EFFICIENTLY ARRIVE AT CONTINUOUS AND PRECISE HEALTH STATUS , ALONG WITH PERSONALISED INTERVENTIONS ”
DR . FREDERIK FLÖTHER IBM QUANTUM INDUSTRY CONSULTANT – LIFE SCIENCES & HEALTHCARE improving diagnostic imaging quality and analysis , advancing precision medicine and optimising pricing and risk analysis ,” explains Tripathi .
The rise of wearable technology and medical devices means electronic health records are crucially important in making healthcare more efficient . Mining this data helps progress towards the aim of better health , lower cost , enhanced patient experience , and improved healthcare practitioner well-being .
There is a caveat to this , though , as the complex correlations and exponential possibilities in this diversity of data are surpassing the capabilities of classical computing approaches – but it is here quantum computing can help .
“ We are now moving toward a setting where insights from additional health-relevant data can be obtained to efficiently arrive at continuous and precise health status , along with personalised interventions . While we are still a long way from realising this , quantum computing may be able to accelerate our progress toward such a new framework ,” says Flöther .
Concluding , he adds : “ This framework would allow healthcare organisations to optimise and personalise their services throughout the continuum of care . Moreover , adherence and patient engagement are also key considerations in decisions about the next-best medical action for a given individual . Advanced computational modelling can address this area too . For instance , adherence data analysis allows the timing of interventions to be optimised for individuals . Eventually , population health management at this level of granularity could become possible .”
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