Neil Pettinger

😂😂😂bbc one news meant to be on but it’s cut to the one show like getting ready to come on at 7 just casually talking they don’t know there on air 😂😂😂😂

Saw this today just at the back of DCA. dalzielscullion.com/works-entry/ca…

Healthcare data analysts don't narrative-ize enough.

Northfield Broadway.

January's ED >12-hour stay figures were released by @P_H_S_Official this morning. A few weeks ago, I predicted - based on the already-released weekly figures - it'd be 9,910. In fact, it went above 10,000 for the first time ever.

The best cat videos are still on X .

Leeds have created 44.68(xG) and conceded 44.68(xG). xG Difference of 0.00(xG) 🤯

When we want to describe how an AMU affects its patients' prior length of stay in the ED, 'heaviness' explains it better than fullness. But 'stickiness' explains it even better.

Max Fresh Triple Action (altered toothpaste tubes) by Tim Taylor

Carnethy Hill from Turnhouse Hill.

@DrLKVaughan I agree! Temporally-distributed cognition!

Of our civilisation is built on the Classics. If no one learns Latin, all that knowledge will be lost. Forever. We can't let that happen'. The kids might be alright after all.

Heard the best reasons for studying Classics today. From a girl sitting next to me on the tube. Trying to persuade a friend to study Classics (presumably for GCSEs) too. 'We are the luckiest people who ever lived. So much knowledge and thinking handed down to us. Most 1/

Maybe it was a one-horse race all along.

Klimt Eastwood

I like this concept. If 100% occupancy, but all patients have 1 day length of stay there will be good flow! So it’s more than bed occupancy that matters.

@TJCoats I've tried developing 'heaviness' so that it incorporates an activity/ throughput element. I've only tried it with one dataset but when I adjusted each day's heaviness by dividing it by the number of discharges that day, I got an even closer correlation with ED length of stay.

I like the idea of showing the frequency distributions above the inverse normal plots. This is from Kirkwood and Sterne's Medical Statistics (2nd ed). #VisualizingDifference

I like the heaviness metric because it might – if introduced sensibly - incentivize clinicians in inpatient directorates to monitor their bed occupancy, length of stay and admissions metrics more carefully. (But I'm getting ahead of myself. I only have data for one hospital!) 3/3

I’m calculating heaviness as each day’s mean fullness multiplied by each day’s mean length of stay so far. When you plot Acute Medical Unit (AMU) heaviness against ED length of stay, it shows a stronger correlation than mere fullness. 2/3

@PfParks @TheSGEM I enjoyed your podcast on factors affecting ED length of stay. I agree that the main factor is inpatient bed availability. But one thing I'm looking at is whether it's not the fullness of the beds that matters; it's the 'heaviness' of the beds... 1/3

Your mind when you try to go to sleep before a big presentation...