{"id":"62abd6309e34","type":"article","url":"https://hartvaat.nl/2026/03/05/ai-echocardiografie-door-niet-specialisten-kosteneffectiviteitsanalyse-uit-singa/","title":"AI-echocardiografie door niet-specialisten: kosteneffectiviteitsanalyse uit Singapore","title_en":"","category":"hartfalen","category_label":"Hartfalen","professions":["cardioloog","huisarts"],"tags":["echocardiografie"],"journal":"ESC heart failure","doi":"10.1093/eschf/xvag069","source_url":"https://doi.org/10.1093/eschf/xvag069","authors":["Aprajita Kaushik","Sameera Senanayake","Sanjeewa Kularatna","Khung-Keong Yeo","Nicholas Graves","Carolyn S P Lam","Huang Weiting","Chanchal Chandramouli","Jasper Tromp"],"significance":5,"published":"2026-04-08","source_date":"2026-03-05","image":"","kennis":["https://hartvaat.nl/kennis/diagnostiek/transthoracale-echocardiografie/","https://hartvaat.nl/kennis/hartfalen/hfref-hartfalen-met-verminderde-ejectie/"],"congress":"","summary_en":"AI-assisted point-of-care echocardiography can shift left ventricular ejection fraction assessment from specialist sonographers to non-specialist healthcare providers. This cost-minimisation analysis from Singapore shows that AI-POC devices can reduce diagnostic costs in heart failure without compromising accuracy.","created":"2026-07-03T10:32:43Z","updated":"2026-07-03T13:31:39Z","licence":"Citeer vrij, met bronvermelding en een link naar hartvaat.nl (de url van het record). Samenvattingen zijn redactioneel werk van HartVaat; de oorspronkelijke publicaties blijven van hun uitgevers (doi). Geen medisch advies.","body_markdown":"AI-ondersteunde point-of-care echocardiografie kan de beoordeling van de linkerventrikelejectiefractie (LVEF) verschuiven van ervaren echocardiografisten naar niet-gespecialiseerde zorgverleners. Deze kostenminimalisatieanalyse uit Singapore toont dat AI-POC-apparaten de diagnostische kosten bij hartfalen kunnen verlagen zonder verlies van nauwkeurigheid.","abstract_original":"BACKGROUND: Accurate assessment of left ventricular ejection fraction (LVEF) is crucial for heart failure (HF) diagnosis but requires skilled sonographers. Artificial intelligence-enabled point-of-care (AI-POC) devices may enable novices to assess LVEF, potentially reducing healthcare costs. We conducted a cost-minimization analysis comparing conventional sonographer-performed echocardiography versus novice-operated AI-POC devices. METHODS: Using a decision tree model, we compared the costs of diagnosing LVEF <50% in patients with suspected heart failure across two pathways: novice-operated AI-POC devices versus standard transthoracic echocardiogram (TTE) performed by sonographers. The model incorporated LVEF<50% prevalence, diagnostic accuracy metrics, and comprehensive cost data for both approaches. We conducted a probabilistic sensitivity analysis to test the robustness of our findings under varying assumptions. RESULTS: The AI-POC pathway demonstrated substantial cost savings, averaging S$1,185 [US$1,422] per patient compared to S$1,403 [US$1,684] for conventional TTE. In a single tertiary referral centre in Singapore, implementing AI-POC devices for LVEF assessment in 100 patients resulted in savings of S$21,669 [US$26,013]. Probabilistic sensitivity analysis suggested a 99.9% probability that the AI-POC approach would be cost-saving compared to standard TTE. CONCLUSION: This study provides economic evidence that task-shifting echocardiographic assessment of LVEF to novices using AI-POC devices is likely cost-saving compared to standard TTE. This task-shifting strategy offers a cost-saving alternative to conventional sonographer-led TTE."}