POCUS in 30 Days: From First Scan to Clinical Confidence
This webinar explores the highest-yield POCUS applications across clinical settings — from emergency medicine to global health — and how to build a sustainable scanning practice from the ground up. Drs. Arun Nagdev and Sachita Shah share the scans they teach first, why they prioritize them, and how clinicians at every level can get started with confidence.
Discussion includes:
- The top POCUS exams to learn first and why — central lines, lung, OB, gallbladder, echo, and FAST
- How to simplify image acquisition and interpretation to build early competency
- Applying POCUS across settings: academic EDs, rural and resource-limited environments, and global health
- Using AI and longitudinal imaging to extend the clinical value of bedside ultrasound
Whether you're scanning your first patient or building a department-wide program, this session offers a practical, educator-tested framework for getting started with POCUS.
Key Questions from the Webinar
What Are the Best POCUS Exams to Learn First?
The best point-of-care ultrasound (POCUS) exams to learn first are central venous cannulation, lung ultrasound (B-lines), focused cardiac echo, gallbladder ultrasound, obstetric ultrasound, and the FAST exam. These applications deliver immediate diagnostic value, have short learning curves — lung B-line assessment reaches basic competency in as few as 5–10 scans — and apply across emergency medicine, primary care, and resource-limited settings. The recommended approach is to start with one exam, use a simplified binary interpretation framework, and build incrementally through consistent repetition rather than one-time intensive training.
How Quickly Can Clinicians Become Competent at Bedside Ultrasound?
Clinicians can reach basic competency in high-yield POCUS applications faster than most expect. Lung ultrasound B-line detection and focused cardiac echo using a single parasternal long-axis view both reach clinical competency in approximately 5–10 scans. Durable skill develops through consistent repetition — scanning every appropriate patient rather than reserving POCUS for uncertain cases — with teleguidance, case review, and peer feedback accelerating progression in settings without on-site ultrasound expertise.
How Is POCUS Used in Global Health and Low-Resource Settings?
Point-of-care ultrasound (POCUS) is one of the most impactful diagnostic tools in global health because it replaces imaging infrastructure — CT, MRI, formal radiology — that most low- and middle-income country (LMIC) settings lack. Core applications include lung ultrasound for TB and pleural effusion identification, focused echo for pericardial tamponade in TB-endemic regions, obstetric ultrasound for high-risk delivery triage, and FAST for trauma without CT access. Butterfly Network's global health partners operate across more than a dozen countries, training nurses, midwives, and clinical officers using a core POCUS framework adapted to local disease burden — with documented use cases spanning Liberia, sub-Saharan Africa, and active conflict zones in Ukraine.
How Is AI Changing Point-of-Care Ultrasound?
Artificial intelligence (AI) is advancing point-of-care ultrasound (POCUS) by extending diagnostic capability beyond what individual clinicians can develop through experience alone. AI models trained on millions of ultrasound images can detect subtle pattern differences — such as distinguishing B-lines caused by tuberculosis from those caused by congestive heart failure — that are indistinguishable to the human eye. As AI interpretation matures, image acquisition becomes the primary skill required, lowering the barrier to entry for non-specialist users and expanding POCUS utility in disease surveillance, longitudinal monitoring, and resource-limited settings where specialist review is unavailable.