Every day, doctors and nurses make hundreds of decisions about treatments - like when to start or stop them, or how frequently to give them. Ideally, decisions are based on gold standard evidence from Randomised Controlled Trials (RCTs). Unfortunately, for many treatments little or no evidence exists and clinicians must use knowledge and experience to decide what is best. As clinicians are all different, this leads to random variation in how treatments are given to patients. For example, magnesium is routinely given in intensive care to prevent abnormal heart rhythms. There is little evidence supporting this, and clinicians vary in how they administer magnesium. Traditional RCTs might be used to examine whether more magnesium is better than less magnesium, but this method is inefficient and expensive for investigating multiple comparative treatment questions. Clinical trials are becoming more efficient by using existing hospital computer systems to run them. However, research teams continue to perform tasks like randomisation manually. For questions like magnesium supplementation, which occur daily, this is labour intensive and infeasible. Hospital computer systems also possess mechanisms for prompting and alerting clinicians for particular decisions, reminding them of best practices, warning them of potential problems. These systems may be modified to allow clinicians to randomise patients, under specific conditions. The investigators propose to assess whether modified computer prompts can be used to highlight the magnesium supplementation decision to clinicians. These would prompt the clinician to evaluate the uncertainty around giving or withholding magnesium in that instance. If in agreement that the optimal decision is unclear, clinicians can choose to randomise the patient within a predetermined trial structure. If the clinician knows better, they may override the prompt and continue with their preference. In both cases, the system learns from the decision and the patient receives optimal care determined by their clinician.
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Effectiveness of Electronic Point of Care Randomisation Prompts
Timeframe: Duration of individual participant admission to critical care, or five postoperative days, whichever is sooner