Latest CHI+MED news
- 22 April 2015
Paul Curzon, Jo Brodie and Rimvydas Rukš?nas are presenting CHI+MED work on safer medical device design at Queen Mary University of London's Research Showcase.
- Our new FREE booklet (and PDF): “The magic of computer science: magic meets mistakes, machines and medicine” published jointly with Teaching London Computing and cs4fn.
Coming up in June
CHI+MED Symposium - 24-25 June 2015, Reading, UK
Patient Safety with Interactive Medical Devices: a multi-disciplinary symposium
More information on our symposium page: http://www.chi-med.ac.uk/symposium2015/
Free magazine - the CHI+MED issue 'Machines making medicine safer'
We've teamed up with cs4fn to produce a special magazine issue, for school children and their teachers, that looks at the role computer scientists and other researchers on the CHI+MED project play in making medical devices safer. More information from this post...
Welcome to the CHI+MED project
CHI+MED (Computer-Human Interaction for Medical Devices, EP/G059063/1) is an EPSRC-funded project to improve the safety of interactive (programmable) medical devices, such as infusion pumps. By understanding more about device design and human factors, medical errors can be reduced thus saving lives.
Our goal is to learn more about medical devices and how people design, buy and use them in the real world. From this understanding we will investigate how to reduce the likelihood and consequences of human error. We are working with patients and their carers, nurses and other medical practitioners, manufacturers who create medical devices, NHS staff who purchase them and regulatory bodies who oversee patient safety.
Throughout our six year programme we will be working with a wide variety of people who are linked by interactive medical devices which deliver essential medication.
Our work blends computer science, cognitive psychology and medicine. We are investigating how devices are designed with a focus on how users have to program them, what can happen when erroneous inputs are given and how new technology can help. We are running laboratory-based experiments to understand the causes of human error and how they can be prevented. We are examining how people perform tasks in real-world situations, for example what happens when a busy nurse is called away in the middle of setting up an infusion pump? How likely are they to make a mistake when they return to complete the task?
We are also exploring interventions that can help manufacturers, clinicians, procurement staff and patients to help reduce the potential human error. Based on the understanding gained from these separate strands we are developing analysis tools based on mathematical models of devices, human behaviour and of the wider situation to help predict where problems will occur. We are also exploring interventions that can help manufacturers, clinicians, procurement staff and patients to help reduce the potential consequences of human error.
In drawing these strands together our research will answer the question 'how can we make medical devices safer in practice?'