The Project

A Disruptive Platform

One of the few areas of software that has yet to be disrupted is analytics. The Atmohealth Project has developed a platform, ‘Atmolytics’, that does precisely this.  By, removing the information bottleneck caused by over-centralised reporting, Atmolytics enables analytical capability to be distributed across the care system according to the needs and expertise of the stakeholders. This is achieved through use of a novel technology that makes complex data discovery accessible to the non-technical user. The platform will accelerate the translation of insights into clinical practice in a variety of ways:

  • By increasing the number of people who can mine data for insights and the speed with which insights are uncovered.
  • By improving trust in findings through making research and population health data both more widely available and more transparent.
  • By facilitating the integration and exploration of large research and clinical datasets.
  • By enabling an efficient evidence-based quality improvement cycle, one in which necessary can be readily identified and their effectiveness monitored in real time.

The Evolution of Healthcare Analytics

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System-wide Devolved Analytics: a New Paradigm

The platform supports a new paradigm, that of ‘system-wide devolved analytics’. The concept is that analytic functions should be distributable across whole healthcare communities, rather than residing in a single central team. This will both accelerate and support key elements of new models of healthcare, such as:

  • The ‘learning health system’ – an environment in which continuous learning happens at every level, taking account of each patient intervention.
  • The ‘integrated care system’ – which recognises the systemic nature of a patient’s involvement and the consequent need for a ‘360-degree view’ of the patient journey in order to optimise care pathways.
  • ‘Precision medicine and personalised care’ – in which interventions are tailored to the specific needs and attributes of individual patients, based upon both phenotypic and genotypic data.
  • ‘Pluralistic clinical research’ – research data is combined with clinical data; self-report data; medical device data and public data, in order to identify complex cohorts and develop predictive models.

Our Partners

We are working with four leading European clinical research organisations:

  • Imperial College London

    England

  • NCMH

    Wales

  • Karolinska Institutet

    Sweden

They will be conducting in-depth testing and evaluation of the platform on large-scale health datasets covering a wide spectrum of medical conditions. Their feedback, from both technical end user and clinical end user perspectives, will shape the platform to ensure it is fully fit for purpose by March 2018.

Accelerating Healthcare Innovation

The Atmohealth platform will accelerate the translation of insights into clinical practice in a variety of ways:

  • By increasing the number of people who can mine data for insights and the speed with which insights are uncovered.
  • By improving trust in findings through making research and population health data both more widely available and more transparent.
  • By facilitating the integration and exploration of large research and clinical datasets.
  • By enabling local testing and confirmation of findings.
  • By enabling an efficient evidence-based quality improvement cycle, such that operational insights are simple to derive, and are speedily translated into interventions whose implementation and impact upon quality of care can in turn be easily evaluated.
This project has received funding from:

the European Union’s Horizon 2020 research and innovation programme

under grant agreement number 739096.