HN Predict

HN Predict is a software specifically designed for clinicians and those involved in planning care. It enables organisations to accurately and efficiently identify patients at risk of adverse and preventable events such as uncontrolled disease progression, hospitalisation and prolonged hospital stay

HN Predict

HN Predict works by applying machine learning to routinely collected healthcare data, turning existing information into a powerful source for practically applied preventive healthcare.​ It is scientifically proven to identify 8 out of 10 patients requiring immediate preventive support to avoid unplanned hospitalisation.

One percent of the population - mostly elderly patients with multiple chronic conditions - consume 53 percent of all NHS bed capacity for unplanned care. Their conditions progress and ultimately, if nothing is done, they have little alternative to acute care. HN Predict is designed to particularly benefit this cohort of patients, and the organisations who care for them.

Our data driven approach also supports equitable health and we found that the best outcomes are achieved for socioeconomically challenged patients. Having timely access to precise information about individual patients risks enables organisations to better guide clinical decision-making to optimise secondary prevention. This generates better patient outcomes and releases pressure on frontline clinical staff and system.

Benefits of HN Predict

Makes unplanned care predictable and preventable!
Guides clinical decision making for highly targeted secondary prevention, triaging and clinical prioritisation
Takes a holistic approach to clinical risk and prevention, considering social factors
Significantly reduces health inequalities as patients who would ordinarily present late in their disease progression can be identified and contacted through outreach
Quick and easy to implement
Frees up capacity to support elective recovery
Validated for safety, efficacy and ethical fairness through HRA-approved clinical trial and government-funded R&D programme
Documented cost savings across the health economy

How it works

HN Predict collects and processes healthcare data through an IG-compliant cloud-based AI engine.

The AI analyses each individual patient’s data by using validated algorithms and provides a list of highlighted patients with elevated risks for certain events such as unplanned hospitalisation, rapid frailty progression or falls. This is information that can be used to better prioritise or to actively reach out to those at high risk for targeted prevention.

HN Predict can run on different primary, secondary or integrated datasets.

It is fully configurable enabling clinicians to define the most important events, outcomes, and patient target groups to predict

Our evidence

HN’s research shows that many unplanned clinical events – including deaths in patients with chronic conditions – are to a large part predictable events. This means they can be anticipated well in advance and prevented.

In clinical trials, HN Predict combined with HN Virtual Ward demonstrated that it can reduce unplanned admissions and deaths while increasing PROMs. The positive impact was most pronounced in socioeconomic vulnerable patients.

Eight out of ten patients who will experience an unplanned hospitalisation can be identified while they are still at home, and while there is time to provide preventive support.

Case Studies

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