The pulmonary embolism response team (PERT) was developed as a platform to rapidly engage multiple specialists to deliver evidence-based, organized and efficient care and help address some of the gaps in knowledge. Several centers investigating outcomes following implementation of PERT have demonstrated shorter hospital and intensive-care unit stays, lower use of inferior vena cava filters, and in some instances improved mortality. Since the advent of PERT, early findings demonstrate promise with improved outcomes after implementation of PERT. Incorporation of artificial intelligence (AI) into PERT has also shown promise with more streamlined care and reducing response times. Further clinical trials are needed to examine the impact of PERT model on care delivery and clinical outcomes.
Keyphrases
- pulmonary embolism
- inferior vena cava
- quality improvement
- healthcare
- artificial intelligence
- palliative care
- big data
- intensive care unit
- clinical trial
- machine learning
- vena cava
- primary care
- deep learning
- cardiovascular disease
- pain management
- risk factors
- emergency department
- high throughput
- study protocol
- electronic health record