home

Integrated Care Manager

Intuitive case finding and service redesign software.

Integrated Care Manager enables care management of patients, particularly those with Long Term Conditions, by encouraging interventions before a patient’s condition deteriorates. This software tool provides PCTs, PbCs, Polysystems and GPs with lists of patients by NHS number suitable for active outreach and support. It provides the NHS with performance indicators on quality of service and performance. If you are designing Long Term Condition services, Integrated Care Manager provides the volume and cost of activity data to inform your business decisions.

Product features

  • Creates a GP practice level patient list in MS Excel at the ‘click of a button’ using criteria selected by the user
  • Benchmarks GP practices and specialties
  • Offers PCT, PbC, Polysystem and GP practice views of the data
  • Stratifies the whole population from primary and secondary care data, to predict emergency admissions in the next 12 months
  • Rapidly finds patients most likely to be admitted into acute care

Benefits

  • Manage variation in quality of care, leading to cost savings
  • Understand risk adjusted demand for secondary care across your entire population
  • Deploy resources to achieve maximum impact for targeted populations
  • Inform service design & delivery based on local quantified need
  • Identify & support PbC level commissioning priorities
  • Enable practices to identify high risk patients and those with gaps in care

Integrated Care Manager in action...

The Integrated Care Manager menu

Integrated Care Manager in action...

Next steps

Contact us

  • Telephone

    To find out how Bupa Health Dialog can help you, call us on

    0845 600 3036

The analysis of Dermatology activity has enabled us to better understand our current system and engage better with clinicians.

Assistant Director of Health and Wellbeing, NHS Lambeth

View The King's fund case study

Read further about the work that we have done with The King's Fund to develop the PARR++ model.