New open-access publication out! ULTRA-Metrics: Delphi-Derived Framework for Assessing Ultrasound Competency DOI: doi.org/10.1002/jum.70074 A framework that measures experience, skills, and autonomy for any ultrasound user and application. More Info: presuna.com/ultra-metrics Thanks to everyone involved in this: @GoffiAlberto, Ean Tsou, Emanuele Pivetta, @i_c_sound, Jessica Solis-McCarthy, Mark Foster, Chris Gelabert, Mike Smith, @colinrbell, @ClarkeWhalen, @Hannah_ICFP, @JaneveDesy, @sonophysio, Hayley Israel, [Anonymous], @ICUltrasonica, @avkwong, @TanpingWong, @casualtysrus, Emma Chung

Over 300 physiotherapists in the United Kingdom have now achieved accreditation in Lung Ultrasound. Well done everyone.

1/ It finally happened. What we’ve been waiting for years has just happened. POCUS has officially made it into the new AHA ACLS guidelines (even if as a weak recommendation). In the next posts, I’ll show you how bedside ultrasound can transform CPR, going far beyond simply identifying the classic “5 Hs and 5 Ts.”

"AI isn't replacing radiologists" good article Expectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing. There are a lot of imo naive predictions out there on the imminent impact of AI on the job market. E.g. a ~year ago, I was asked by someone who should know better if I think there will be any software engineers still today. (Spoiler: I think we're going to make it). This is happening too broadly. The post goes into detail on why it's not that simple, using the example of radiology: - the benchmarks are nowhere near broad enough to reflect actual, real scenarios. - the job is a lot more multifaceted than just image recognition. - deployment realities: regulatory, insurance and liability, diffusion and institutional inertia. - Jevons paradox: if radiologists are sped up via AI as a tool, a lot more demand shows up. I will say that radiology was imo not among the best examples to pick on in 2016 - it's too multi-faceted, too high risk, too regulated. When looking for jobs that will change a lot due to AI on shorter time scales, I'd look in other places - jobs that look like repetition of one rote task, each task being relatively independent, closed (not requiring too much context), short (in time), forgiving (the cost of mistake is low), and of course automatable giving current (and digital) capability. Even then, I'd expect to see AI adopted as a tool at first, where jobs change and refactor (e.g. more monitoring or supervising than manual doing, etc). Maybe coming up, we'll find better and broader set of examples of how this is all playing out across the industry. About 6 months ago, I was also asked to vote if we will have less or more software engineers in 5 years. Exercise left for the reader. Full post (the whole The Works in Progress Newsletter is quite good): worksinprogress.news/p/why-a…

Deep Breathe reaches first major regulatory milestone. We’re proud to announce FDA 510(k) clearance for one of our key models on our AI-powered lung ultrasound software. Read our full press release here: lnkd.in/g5Mhn7UZ #FDA #Regulatory #MedTech #Innovation #POCUS

Principles for Developing a Large-Scale Point-of-Care Ultrasound Education Program: pmejournal.org/articles/10.5… Key Results: 1) AI-assist: By integrating self-learning and AI-assisted training, POCUS education becomes more scalable, accessible, and resource-efficient, addressing training limitations while ensuring competency development. 2) Remote assessments: Preliminary results indicate that students who engaged in remote feedback sessions demonstrated significantly better skill retention and higher performance scores compared to those who did not participate.

Incredibly excited to have been a small part of the team working on this consensus document. Hopefully this provides a framework for #internalmedicine docs working to create #POCUS curricula sciencedirect.com/science/ar…

4 key results from a systematic review of 31 original studies on ultrasound training and skill retention. doi.org/10.1111/medu.15751 1) Within the I-AIM framework analysis, all domains of competency retention demonstrated a decline over a 1–12-month follow-up period. 2) The Acquisition domain showed the most significant decline with median percentage changes of −11.8% (IQR: −16.5% to −6.4%), followed by Interpretation, Medical decision-making and Indication. 3) Short-course programs (≤4 h) demonstrated greater competency decline (median: -11.8%, IQR: −16.9% to −4.4%) compared to long-course programs (median: -2.6%, IQR: −6.8% to 1.3%). 4) Hands-on practice with high-fidelity simulation and clinical context integration were associated with superior retention outcomes across multiple domains.

Really pleased to share this piece I wrote for @POCUSJournal about the expanding role of #POCUS 🩻 POCUS is no longer confined to single-system scans and binary questions ❌ We can embrace the value and nuance of multi-organ POCUS to help us answer complex questions 🧐 Have a read and let me know what you think! 😊 pocusjournal.com/article/184…

Pretty chuffed with this work. We show that having POCUS trained clinicians performing and reporting scans as part of acute care leads to a dramatic reduction in departmental radiology requests. We help not hinder! More reasons to embed this in daily practice where possible...

Kudos to @colinrbell for leading this @CAEP_EUC effort to survey Canadian 🇨🇦 #POCUS programs •76% of POCUS equipment is used beyond service life •1/3 of programs receive $ for clinical POCUS use •1/2 don't have POCUS QA @CAEP_Docs @CJEMonline 🔗doi.org/10.1007/s43678-024-0…

Interesting concept! #POCUS #FOAMed #FOAMcc 🔗ccforum.biomedcentral.com/ar…

Nice to see this great compilation #pocus video and photos in this article!

Hot off the press in @CJEMonline! Our expert panel just tackled cardiac and lung #POCUS for our POCUS literature primer series. @CAEP_EUC @CAEP_Docs @GillianSheppar9 @TomJelic 🔗doi.org/10.1007/s43678-024-0… Check out the 🧵 below for our top 5 papers on cardiac & lung POCUS 👇

Avoid reflex clinical decisions based on isolated #POCUS findings.

Thirlled to announce a collaboration with the Uni of Santo Tomas, #POCUS Certification Academy & Presuna Delivering our world-class #ultrasoundtraining in the Philippines to establish a comprehensive training & certification program @UST1611official @POCUSAcademy @PresunaHealth

Thoracic #POCUS for pleural effusion in the intensive care unit: a narrative review from diagnosis to treatment. #FOAMed #FOAMcc 🔗 ccforum.biomedcentral.com/ar…

The PCA is excited to collaborate with @zedunow and @PresunaHealth to help build POCUS capacity at University of Santo Tomas in Manila, Philippines, helping to elevate the quality of patient care. Learn more about this exciting partnership 👉 bit.ly/3YagWZo

Hepatic vein waveform basics. 8 slides, 80 secs #VExUS #POCUS #FOAMed #Nephpearls

"Kidney PoCUS was found to have a sensitivity of 85% and a specificity of 78% for detecting hydronephrosis in patients presenting to our centre with acute kidney injury" doi.org/10.1186/s13089-023-0… #pocus