Years ago I remember seeing a patient with acute severe asthma in the emergency department.
After a number of interventions, the patient started to improve.
By a number of interventions, I mean nebulisers, oxygen, steroids, aminophylline, bricanyl, calling intensive care.
So quite a number.
An hour or so later, the patient was able to speak in sentences.
And tell me that they never had a spirometry.
And never received advice on smoking cessation.
This is an example of working in a break-fix system.
Today lots of patients with asthma still don’t routinely have spirometry. Or receive advice about smoking.
So still break-fix.
Wouldn’t it be great to work in a predict-prevent system?
Where you had computable evidence that would help you conduct prospective analysis across a population. So ensuring that evidence-based care happens first time every time.
Where the computable evidence would ensure systematic identification of patients with selected conditions and the tests and treatments that they should receive.
Where people are learning and the system is learning too.
If you are interested in finding out more, please come to our session on BMJ Clinical Intelligence: the role of computable evidence in improving population health at #Quality2024 in London on 12 April.
Speaking will be Blackford Middleton, MD, MPH, MSc, Chris Wroe, and Yvonne Ridge.
I have learned a massive amount from them over the past couple of years.
I know you will too.
Sophieann O'Kersey Ali Boukabache Dr Comfort King MBBS MSc PGDip Tuan Davies Helen Carson-Oliver
Chief Operating Officer at MyWay Digital Health Ltd
1moCongratulations