Ainsoff Deterioration Index | Beamtree – Better has no limit

OUR SOLUTIONS

“Ainsoff

The Ainsoff Deterioration Index™ is a commercially available machine learning-based tool used to predict the risk of patient deterioration, and alert clinicians via mobile devices in real-time.

Accurately predicts the risk of patient deterioration

In addition to a score of risk, Ainsoff Deterioration Index™ alerts also display a clinically useful summary of the patient’s condition to aid in escalation. The sensitivity and accuracy of the tool means that alerts are only generated for patients genuinely at risk of deterioration, far enough in advance to enable clinical teams to act and prevent serious outcomes and long-term issues. The product’s dashboard also provides a visual summary of acuity for all patients providing organisational insight to workload and risk.

Benefits

Contribute to improved patient safety by accurate early detection of patients at risk of a major adverse event

Provide a safety net for clinical staff to recognise and escalate care with confidence and reduce the cognitive load of interpreting EMR data

Access to robust hospital level acuity information to assist in patient flow and resource planning

Features

Proven machine learning algorithm using data from 260,000 patients ¹
Genuine Early Detection enables clinical teams time to react and avoid adverse events
Real-time targeted alerts including a useful clinical summary to aid in escalation
Reduced false alerts means reduced alert fatigue and confidence to react when needed
Acuity Summary Dashboard to monitor the acuity of all patients across the hospital
Proven implementation, support and monitoring

¹ A Trend-Based Early Warning Score Can Be Implemented in a Hospital Electronic Medical Record to Effectively Predict Inpatient Deterioration. Critical Care Medicine www.ccmjournal.org. 1 October 2021. David Bell, John Baker, Chris Williams, Levi Bassin.

The implementation of a real time early warning system using machine learning in an Australian hospital to improve patient outcomes

We audited over 300 previous patient alerts using Ainsoff Deterioration Index including laboratory data. ADI picked up every deterioration including ones we would not have previously detected”

Sydney Adventist Hospital , Australia

The more you empower your employees with knowledge about the clinical situation, the more you help them to prioritise care.”

Sydney Adventist Hospital, Australia

OUR SOLUTIONS

The Ainsoff Deterioration Index™ is a commercially available machine learning-based tool used to predict the risk of patient deterioration, and alert clinicians via mobile devices in real-time.

Accurately predicts the risk of patient deterioration

Benefits

Features

News & Media

New Australian AI tech predicts hospital patient deterioration | The Senior

Aust AI tool warns of patient deterioration | Hospital & Healthcare

Beamtree’s AI-powered early warning system reduces mortality and length of stay | Pulse+IT

New AI technology can predict critical warning signs in patients 24 hours earlier | 9 News Australia

Australian AI Breakthrough Predicts Patient Deterioration 24 Hours In Advance, Saving Lives

How artificial intelligence can help doctors treat patients | The Today Show

Australian AI innovation saves lives in hospitals | ChannelLife

The implementation of a real time early warning system using machine learning in an Australian hospital to improve patient outcomes