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Pulmonary Embolism

AI

Three Ways AI Can Support Pulmonary Embolism Response Teams

Venous thromboembolism (VTE) can be as challenging to diagnose as it is to treat, and research shows that very few patients have a strong understanding of the condition and its symptoms, often preventing many from seeking care until it is urgent — if at all. Fortunately, new models are being developed to effectively capture more VTE patients before it becomes too late.
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Pulmonary Embolism

Let’s talk about pulmonary embolism

On World Thrombosis Day, Oct 13th, RapidAI is committed to creating awareness about blood clots and pulmonary embolism.
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Pulmonary Embolism

AI

The impact of pulmonary embolism response teams on acute PE management and outcomes

Pulmonary embolism (PE) is the third most common cause of cardiovascular death. Hospitals worldwide initiated the movement to assemble multidisciplinary teams or Pulmonary Embolism Response Teams (PERTs) to help manage PE, improve care coordination, and determine suitable treatment interventions for acute PE patients. First established in 2012 at Massachusetts General Hospital, over 100 institutions now have active PERTs.
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Pulmonary Embolism

Workflow

AI

How Having a VTE Coordinator Can Improve Workflow for PE Teams

Most hospitals in the United States have a care pathway for stroke patients, but this is not the case for patients presenting with venous thromboembolism (VTE) disease including acute pulmonary embolism (PE) patients. The treatment pathway for PE patients presents challenges – where there is often no standard treatment criteria or protocol. Multiple disciplines are involved in the care workflow and treatment plan can vary based on who is involved.
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Pulmonary Embolism

A Round Up of Notable PE Clinical Studies

The third most common cause of cardiovascular death, pulmonary embolism (PE) remains a key area of focus for clinical researchers globally, with new studies continually re-shaping what we know about effectively diagnosing and treating the disease.
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Pulmonary Embolism

AI

Revolutionizing pulmonary embolism care with AI

In today’s climate with COVID-19 continuing to drain hospital resources worldwide, the time care teams spend on making clinical decisions is more valuable than ever. More and more hospitals are turning to tools that leverage the power of artificial intelligence (AI) to help streamline care, boost team efficiency, and improve patient outcomes. AI can help extract greater meaning and insight from a patient’s medical information that ultimately helps physicians improve patient care. These solutions are often paired with patient workflow and communication apps for easier care coordination and efficient team communication. Given the time- and resource-intense needs of diagnosing, risk-stratifying, and treating pulmonary embolism (PE) patients, AI-assisted solutions warrant consideration.
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Pulmonary Embolism

Transforming PE care: The power of patient data and analytics

In addition to facilitating communication between specialists in pulmonary embolism (PE) care teams, AI solutions such as RapidAI can assist PE care teams by gathering data. Analyzing this data and making informed, data-driven decisions have the potential to reduce PE-related morbidity and mortality.
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Pulmonary Embolism

Workflow

Transforming diagnosis and treatment of pulmonary embolism

Given the range of symptoms that present when a patient has a sudden blockage of one or more pulmonary arteries, quickly diagnosing and treating pulmonary embolism (PE) continues to be a challenge. But new ways of organizing teams – and connecting them through technology – promise hope.