HYLODE

• Research type

  Research Study

• Full title

  Digitally adapted, hyper-local realtime bed forecasting to manage flow for NHS wards (HYLODE)

• IRAS ID

  292818

• Contact name

  Steve Harris

• Contact email

  s.harris8@nhs.net

• Sponsor organisation

  University College London Hospitals NHS Foundation Trust

• Duration of Study in the UK

  2 years, 2 months, 1 days

• Research summary

  HYLODE is an NIHR/NHS-X funded project running at UCLH and supported by UCL’s Institute of Health Informatics and Clinical Operational Research Unit. HYLODE will build a prototype bed and resource forecasting application. A period of research is planned within this project that will investigate what factors affect patient’s length of stay, and to develop novel forecasts of bed occupancy and resource utilisation. This will build on previous work by this group at Great Ormond Street Hospital. Specific attention will be given to the generalisability of the forecasts such that they have the best possible chance of being relevant to other organisations both in the NHS and internationally.

  This research will be a retrospective observational study using de-identified data extracted from the electronic health records at University College London Hospital. We will use these data to build a series of explanatory and predictive models.

  We will initially focus on three key areas of the hospital:

  - the critical care unit
  - the emergency department
  - theatres and imaging

  We will then evaluate whether the principles learned in these areas successfully generalise to other wards (e.g. the acute medical admissions ward, or a surgical ward). Outpatient activity will be an input to these models but not a planned output. The algorithms generated and parameters derived will be used to drive the forecasting application.
  

• REC name

  London - Queen Square Research Ethics Committee

• REC reference

  21/LO/0437

• Date of REC Opinion

  24 Jun 2021

• REC opinion

  Favourable Opinion