“Before using a model, we’ve got to build it. Machine learning builds the predictive model” – Eric Siegel

The Patient Status Engine provides clinicians and hospital staff with a continuous flow of real-time data which enables quick decisions to be taken when it comes to treating patients suffering from multiple conditions.

This data provides insights which:

  • Help doctors and nurses make informed decisions and improve the overall treatment process
  • Allow clinicians to compare real-time patient data from the Patient Status Engine to medical baselines, helping them predict which patients are likely to develop complications and need further intervention
  • Enable clinicians to recognise if a patient was at risk of illnesses including conditions such as heart failure or sepsis and would be able to detect the early onsets faster than they would have otherwise been able to detect it

The use of data collection and analysis within the Patient Status Engine increases care delivery efficiencies, improves patient outcomes, reduces hospital re-admissions, adverse events and costs, and, for the first time ever, puts the patient at the centre of care.

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