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EMAHSN
  • Predicting readmissions risk
  • Predicting a patient's length of stay to assist with capacity planning
  • Predicting emergency department attendances to help with elective planning
We are exploring the following ideas for longer term projects. Deciding on which projects we undertake will be undertaken involving our stakeholders. If you have a view or would like more information, please contact our Project Manager, Glen Howard at This email address is being protected from spambots. You need JavaScript enabled to view it. or 0115 8231912.
  • Modelling whole pathways e.g. emergency care across organisation and provider boundaries
  • Analysis to support NUH hospital wide early warning tool and patient acuity tool (SPARKS)
  • Disease specific, patient centred pan-organisation data set/analysis
  • Predicting individual patients' length of stay and risk of readmission
  • Patient safety costing tool and review of complications from specific procedures
  • Analysis of out of hours activity
  • Specific research e.g. respiratory admissions and weather
  • Analysis supporting planning for 7 day working
             

What is it? 

An automated tool that accurately identifies care home residents when they are admitted to hospital. The tool is built in a Microsoft Excel workbook and compares inputted full address details with the Care Quality Commission’s (CQC) care directory. It then identifies those that match a care home address. It was designed by a team at EMAHSN in conjunction with experts from the University of Nottingham and Nottingham University Hospitals NHS Trust.

Why use it? and what are the benefits?

Currently many Patient Administration Systems (PAS) do not have an accurate record of which patients reside in a care home. Hospital PAS categories ‘source of admission’ and ‘discharge destination’ have been assessed and found to be a poor indicator of actual care home residence. Knowing how frequently and for which reasons care home residents use our health care services is important. This information may allow organisations to plan and manage their resources more effectively and enable the impact of any quality improvement initiatives carried out across the NHS to be measured more effectively.

The tool has been evaluated and is more accurate than current published care home identification methods such as PAS category ‘source of admission’ or by matching to a care home postcode alone. It is simple to implement and uses routinely collected address data.

Who uses it? and who would be interested?

The tool has been developed in collaboration with Nottingham University Hospitals NHS Trust, who currently use the tool to provide care home resident admission and Emergency Department attendance activity data to local Clinical Commissioning Groups (CCG).

As the tool only requires full address it can potentially be used by many NHS organisations.

How can I find out more and access tool?

We will be publishing a publication called“Accurate identification of hospital admissions from care homes; development and validation of an automated algorithm."  This paper will be publicised in due course which will include further information on the tool.

For further information please contact Gemma Housley, Medical Informatics at This email address is being protected from spambots. You need JavaScript enabled to view it.