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Growth Ritual #75
Read the Newsletter Issue #75
Have you ever seen an ambulance waiting outside an emergency department, lights still flashing, knowing that every minute counts for both the patient and the crew? On this episode, we delve into a quiet but groundbreaking experiment at Lyell McEwin Hospital that proves you don't need a new billion-dollar wing to fix hospital bottlenecks – you just need better timing.
Join us as we explore the Adelaide Score, a "tiny AI" that lives within existing patient records and answers one crucial question: "Is this person ready to go home tomorrow?". We'll discuss how this lightweight algorithm digests vitals, blood work, and ward notes, flashing a percentage – green for "start the paperwork," yellow for "one more day," and red for "slow down". With over 80% accuracy in predicting patient discharge readiness within 24 hours for general-surgery patients, this tool is a game-changer.
Discover the impressive results from its four-week trial:
- 6.5% shorter patient stays – translating to an entire extra bed free every afternoon on a busy surgical ward.
- A 2% reduction in readmission rates, ensuring patients aren't rushed out prematurely.
- $750,000 saved at one hospital, projecting to roughly $10 million annually if scaled across all South Australian public hospitals.
Hear firsthand how it feels "on the floor" from charge nurse Sarah, who explains how the Adelaide Score transforms her day, allowing her to prep patients for discharge by 9 AM instead of "playing detective" at 4 PM, ensuring beds are ready by the time ambulances arrive.
We'll also explore why this matters to everyone: fewer queues at triage, faster handovers for paramedics, and reduced overtime for hospital staff. Plus, learn how this intelligent system gets sharper with every discharge, much like Spotify personalizes your music.
Finally, we'll look at what's next for this innovative technology, including a state health department green-light for a rollout to every public hospital next year, and its compatibility with major systems like Cerner and Epic for broader adoption.
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By Selim YorukRead the Newsletter Issue #75
Have you ever seen an ambulance waiting outside an emergency department, lights still flashing, knowing that every minute counts for both the patient and the crew? On this episode, we delve into a quiet but groundbreaking experiment at Lyell McEwin Hospital that proves you don't need a new billion-dollar wing to fix hospital bottlenecks – you just need better timing.
Join us as we explore the Adelaide Score, a "tiny AI" that lives within existing patient records and answers one crucial question: "Is this person ready to go home tomorrow?". We'll discuss how this lightweight algorithm digests vitals, blood work, and ward notes, flashing a percentage – green for "start the paperwork," yellow for "one more day," and red for "slow down". With over 80% accuracy in predicting patient discharge readiness within 24 hours for general-surgery patients, this tool is a game-changer.
Discover the impressive results from its four-week trial:
- 6.5% shorter patient stays – translating to an entire extra bed free every afternoon on a busy surgical ward.
- A 2% reduction in readmission rates, ensuring patients aren't rushed out prematurely.
- $750,000 saved at one hospital, projecting to roughly $10 million annually if scaled across all South Australian public hospitals.
Hear firsthand how it feels "on the floor" from charge nurse Sarah, who explains how the Adelaide Score transforms her day, allowing her to prep patients for discharge by 9 AM instead of "playing detective" at 4 PM, ensuring beds are ready by the time ambulances arrive.
We'll also explore why this matters to everyone: fewer queues at triage, faster handovers for paramedics, and reduced overtime for hospital staff. Plus, learn how this intelligent system gets sharper with every discharge, much like Spotify personalizes your music.
Finally, we'll look at what's next for this innovative technology, including a state health department green-light for a rollout to every public hospital next year, and its compatibility with major systems like Cerner and Epic for broader adoption.