Dosing technology speeds up recovery of ICU patients
A new dosing software could accelerate the effects of antibiotics in patients being treated for sepsis in intensive care units (ICUs).
With the technique trialled in the DIRECT study, patients received effective antibiotics in half the usual time, leading to faster recovery, higher quality care, cost savings and increased bed availability in the hospitals, said co-senior study author Professor Jason Roberts from the University of Queensland’s Centre for Clinical Research.
The clinical trial was unusual because it included children and involved collaborators at four major Brisbane hospitals.
“We found we could dramatically improve the accuracy and quality of the treatment provided to adults and children, meaning less time in the ICU and a faster cure.
“We did this by rapidly identifying which bacteria was causing their severe infection and then applying a personalised dosing approach to ensure each patient received the most effective dose for their needs.
“The team used Bayesian dosing software in four adult and paediatric ICUs, leading to an estimated healthcare saving of $12,000 per patient in some groups,” Roberts said.
UQCCR Principal Research Fellow and co-senior author Associate Professor Adam Irwin said improving the accuracy of infection treatment was a great outcome.
“In this study, clinicians in paediatric and adult intensive care settings alike were confident to apply the dosing software recommendations, meaning critically ill children and adults will benefit from the results,” Irwin said.
“We had ICU doctors and nurses, pharmacists, infectious diseases doctors, microbiologists and experts in health economics involved in the study.
“We hope that further funding will allow us to demonstrate the value of this treatment approach to a broader international audience.”
The DIRECT study was funded by MRFF Rapid Applied Research Translation Program Grants administered through Health Translation Queensland, and was conducted at the Herston Infectious Diseases Institute in collaboration with Metro North Health, Queensland Children’s Hospital and Metro South Health.
The research is published in Intensive Care Medicine.
Clinical documentation app launched
PatientNotes, the AI-driven platform for clinical documentation, has launched an iOS app.
Hospital uses AI model to improve physician–nurse collaboration
Stanford Hospital is using an AI-based model that predicts when a patient is declining and flags...
Vic sees 34% increase in digital health startups
Victoria has seen a 34% increase in digital health startups in the past year, according to the...
