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New machine learning system developed to identify deteriorating patients in hospital

New machine learning system developed to identify deteriorating patients in hospital Credit: Shutterstock

Researchers in Oxford have developed a machine learning algorithm that could significantly improve clinicians’ ability to identify hospitalized patients whose condition is deteriorating to the extent that they need intensive care.

The HAVEN system (Hospital-wide Alerting Via Electronic Noticeboard) was developed as part of a collaboration between the University of Oxford’s Institute of Biomedical Engineering and the Nuffield Department of Clinical Neurosciences, with support from the NIHR Oxford Biomedical Research Centre.

The findings of the study have been published in the American Journal of Respiratory and Critical Care Medicine.

“The HAVEN , using electronic patient data collected routinely by most NHS hospitals, has the potential to substantially improve our ability to detect patients who require ICU, and those for whom a timely intervention is likely to change their outcome, so enhancing the National Early Warning Score (NEWS) system currently in use across the health service,” said Prof Peter Watkinson, Associate Professor of Intensive Care Medicine at the University’s Nuffield Department of Clinical Neurosciences.

The HAVEN system combines patients’ vital signs—such as , and temperature—with their blood test results, comorbidities and frailty into a single risk score. The HAVEN score gives a more precise indication of which patients are deteriorating when compared with previously published scores.

Every year, more than 60,000 patients deteriorate on UK hospital wards to the extent they require admission to an ICU.

Over the past 20 years, health care systems worldwide have implemented alerting systems to improve detection of patients at risk of deterioration. Most are based on abnormalities in patients’ vital signs, usually by combining them into an early warning score. Clinicians are alerted when the EWS rises above a given threshold.

“Late recognition of

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Severe COVID-19 – discharge: MedlinePlus Medical Encyclopedia

Once at home, your health care providers will continue to work with you to help your recovery.

You will likely still have symptoms of COVID-19 even after you leave the hospital.

  • You may need to use oxygen at home as you recover.
  • You may still have a cough that slowly gets better.
  • You may have kidneys that have not recovered fully.
  • You may get tired easily and sleep a lot.
  • You may not feel like eating. You may not be able to taste and smell food.
  • You may feel mentally foggy or have memory loss.
  • You may feel anxious or depressed.
  • You may have other bothersome symptoms, such as headache, diarrhea, joint or muscle pain, heart palpitations, and trouble sleeping.

Recovery may take weeks or even months. Some people will have ongoing symptoms.

Be sure to follow your provider’s instructions for self-care at home. They may include some of the following recommendations.


Your provider may prescribe medicines to help in your recovery, such as antibiotics or blood thinners. Be sure to take your medicine as prescribed. Do not miss any doses.

DO NOT take cough or cold medicines unless your doctor says it is OK. Coughing helps your body get rid of mucus from your lungs.

Your provider will tell you if it is OK to use acetaminophen (Tylenol) or ibuprofen (Advil or Motrin) for pain. If these medicines are OK to use, your provider will tell you how much to take and how often to take them.


Your doctor may prescribe oxygen for you to use at home. Oxygen helps you breathe better.

  • Never change how much oxygen is flowing without asking your doctor.
  • Always have a back-up supply of oxygen at home or with you when you go out.
  • Keep the phone number of your