Mednition, makers of machine learning-powered software solutions for healthcare, today introduced Mednition KATE — a real-time decision support solution designed specifically to help emergency nurses increase the accuracy of their triage decisions, improve quality of care, and save lives.
The decision support solution is already in full commercial use by emergency nurses working in the high-volume emergency department at Adventist Health White Memorial (AHWM) in downtown Los Angeles.
Past president of the ENA and former Clinical Director of Emergency Services at Cincinnati Children’s Hospital, Deena Brecher, Head of Patient Care, Mednition, noted the demands on emergency nurses are intense.
Designed with emergency nurses in mind, Mednition KATE was developed by clinicians for clinicians, says the press release.
“The machine learning-powered SaaS solution integrates easily into popular electronic health records (EHR) systems and existing triage processes. It is the only solution architected to read, extract and understand the entirety of EHR, recognize potential under and over triage acuity assignment, and communicate with nurses in real time.
“Underlying KATE is the Mednition Clinical Data Engine of more than 10 billion de-identified patient clinical data points, providing deep clinical insight for every patient.”
“We have first-hand evidence that machine learning is improving healthcare delivery and saving lives,” said Mara Bryant, Operations Executive at Adventist Health White Memorial.
“Using KATE, we have documented increased clinical accuracy, patient safety and operational efficiency, all while using the same processes and our existing EHR systems. Our nurses see KATE as a critical new machine learning-powered solution, like an expert advisor who increases their accuracy, ensures patients receive the right care at the right time, and helps calm the chaos frequently associated with triage.”
Highlights of the hospital’s use of Mednition KATE include:
Identifying High Risk Patients
- 500 high risk patients avoided the waiting room
Increased timeliness of care
- 2.23 hour ED LOS decrease for patients admitted to the ICU with sepsis
Improving Patient Flow
- 250 patients were redirected to fast track
The SaaS-based KATE is available immediately on a subscription basis, requiring no capital expense. It supports all popular EHR and clinical messaging software, requiring no change to clinical workflow, no downtime and minimal training. For more information, visit KATE.