Unlike existing practices, our Humanising Healthcare® methodology uses time-series data to interpret the true nature of person demand and to better understand the root cause(s) of service challenges facing healthcare commissioners, planners and providers alike.
Using data to understand patient demand is the first step in achieving intelligent system and service redesign solutions around patient cohorts. This informs a more integrated and preventive system that will successfully alter the nature and consumption curve for care and reduce costs across the system.
This approach provides innovative thinking as to how to propose future improvement schemes, not only to reduce patient demand but also to better respond to, and therefore manage, such demand. It looks at healthcare not from a conventional activity perspective but from a person-centred one.
Moreover, this way of working provides a better approach to overcoming the principal performance challenges facing all public and private healthcare economies - from emergency and urgent care breaches, delayed transfers of care and discharge, long waiting times, rising demand long term, complex health needs underpinned by rising mental health issues – all of which were exacerbated by Covid-19. Humanising Healthcare is a bridge to achieving better service design, and intelligent care integration.
BearingPoint Director, Hamish Dibley, spoke at The Institute for Government Data Bites event about this topic. The video recording of the event is available to watch here: Data Bites #26: Getting things done with data in government | The Institute for Government.
Download the Humanising Healthcare PDF below.