The COVID pandemic resulted in a high incidence of patients with respiratory distress. While the use of mechanical ventilation helped some patients, others experienced acute lung failure, leading to a steady increase in the need for ECMO. The c
Medicine and healthcare can use advanced data science technology to predict patient deterioration and risk. However, challenges in data aggregation, access, and sharing can slow adoption and use of these technologies. Listen in to hear from
Data science, machine learning, and AI can be applied to a wide spectrum of healthcare tasks, from modeling the spread of COVID across a city to arrhythmia detection on an individual patient. Using these tools requires data and expertise from b
Sedation is a necessary part of managing any patient during and after surgery, but also has well-known risks, including respiratory depression. When it comes to neonates and babies, sedation management is even more complex due to the size of th
The specialty of neonatal hemodynamics has the potential to reduce death and brain injury among premature babies. While widely adopted in other countries as a standard of care, the specialty is beginning to gain traction in the U.S. because of
Up to 48% of post-op pediatric cardiac patients with congenital heart defects develop post-operative arrhythmias. Junctional ectopic tachycardia (JET) is considered the most common type of tachycardia seen during early post-operative care, but
Neonates with critical congenital heart disease have an immature cardiovascular systems and increased risks for hemodynamic instability and sudden cardiac arrest. Hemodynamic management of these patients helps decrease that risk. Dr. Lasa disc
Patients with hypoplastic left heart syndrome (HLHS) have a high risk of critical deterioration. And since their physiologic profile differs from other patient populations, specialized clinical training is required to care for these patients. J