Calculating the risks

Basically, the system calculates the risk of adverse outcomes for each admitted patient, taking into account the most important patient information, like age, primary diagnosis, comorbidity, severity and social economic factors.

What happened actually

Next, this estimation is compared to what actually happened. When there are outliers, the system can detail the information, identifying underlying causes. Reflex can also present the rates of mortality, long stay and readmission risk per department, diagnosis group or patient profile.

Method / standadisation

All outcomes are standardised for a number of patient characteristics.

In most models standardisation is carried out for the following variables:

  • Diagnosis group or - procedure group
  • Year
  • Age
  • Sex
  • weight of main diagnosis
  • Comorbidity
  • Socio-economic status
  • Month of admission
  • Urgence
  • Origin of patient

Contact us for a demonstration or a proposal It is relatively easy to practically test Reflex in your hospital. We can provide the required format in which the discharge data of your hospital can be imported into Reflex. The initial data processing takes up to two months and presents the risk profile of the institution. After the initial processing, monthly updates with the most recent data will be performed.