6066

THE ONLY COMPLETE AI SOLUTION FOR VENOUS THROMBOEMBOLISM

Improve time-to-treatment and cross-department collaboration while realizing incremental revenue with the only VTE solution that allows you to manage the full spectrum of the disease.

With approximately 900,000 cases diagnosed in the United States each year, venous thromboembolism (VTE) is a common yet underdiagnosed disease that can overburden health systems due to suboptimal outcomes, including low survival rates, long-term complications and recurrence.1, 2

Artificial intelligence has the potential to transform the way VTE care is provided, helping clinicians to quickly coordinate care, accelerate clinical decision making and manage long-term patient follow-up adherence.

View VTE Solution Explore PERT Solution
Aidoc VTE Solutions Suspected PE findings mobile notification banner on a smartphone

THE BENEFITS OF AN AI-DRIVEN VTE WORKFLOW

Always On AI

Image and report-based AI runs in the background to opportunistically identify potential cases which may require PERT activation, IVC filter removal or a proximal DVT consultation

Risk Stratification

Remove variability and automate risk stratification with user-set RV/LV ratios

Care Coordination

Notification and activation of suspected VTE cases tailored to facility workflows

Follow-Up

Longitudinally manage chronic VTE pathology over time and opportunistically identify potential IVC filter retrieval procedures with a text-based AI solution 

AIDOC: A NEW STANDARD FOR VTE CARE

Enhancing every patient touchpoint, Aidoc’s comprehensive solution spans more than just pulmonary embolism to provide cross-functional teams with the most robust VTE management tools available – all powered by the award-winning aiOS™. 

Aidoc aiOS™

Always on clinical AI operating system that structures and organizes image data, centralizes and coordinates algorithms, provides data in order to monitor and measure performance and facilitates cross-department collaboration.

Aidoc aiOS chip
Aidoc VTE Solutions Triage and Notification Algorithm screens

Triage and Notification Algorithms

Worklist and PACS-agnostic image-based algorithms for pulmonary embolism (PE), incidental pulmonary embolism (iPE) and RV/LV measurement, plus an ultrasound text-based algorithm for deep vein thrombosis (DVT).*

*PE and iPE algorithms are FDA-cleared image-based algorithms available in the Aidoc briefcase. RV/LV ratio output supplied by Aidoc partner Imbio.

Care Coordination

Mobile notification* and activation for Pulmonary Embolism Response Team (PERT) escalation on suspected PE and iPE findings with an elevated RV/LV ratio. Mobile notification of proximal iliofemoral DVTs to providers to increase awareness of urgent clots for clinical consideration. Features include built-in risk stratification**, chat, spoke network and EHR connectivity and mobile imaging viewer.

*Mobile platform is not intended for diagnostic purposes.
**Based on user settings

Explore the PERT Solution
Aidoc VTE Solutions Mobile PERT Alert on an iPhone

Mobile PERT Alert

Aidoc VTE Solutions Mobile Image Viewer on an iPhone

Mobile Image Viewer

Aidoc VTE Solutions RV-LV Ratio-BasedRisk Stratification on an iPhone

RV/LV Ratio-Based Risk Stratification

Aidoc VTE Solutions EHR Integration With Labs-Vitals on an iPhone

EHR Integration With Labs/Vitals

Aidoc VTE Solutions Cross-Departmental Chat on an iPhone

Cross-Departmental Chat

Aidoc Patient Management dashboard on a laptop

Patient Management

Uses NLP to automatically identify and alert clinicians of retrievable inferior vena cava (IVC) filters. Fully integrated into scheduling systems and EHRs, it also enables longitudinal monitoring of VTE pathology over time. 

REQUEST INFORMATION
Aidoc impact of AI-driven PE care activation download white paper ad

PROVEN CLINICAL IMPACT

Validated through 20+ clinical studies, Aidoc partners have realized numerous positive clinical and financial outcomes post-AI implementation with elements of the VTE solution.

Shaking hands icon on orange background

More PERT consultations

40%3 increase in PERT consultations at Yale New Haven Health

READ THE CASE STUDY
LEARN MORE ABOUT PERT SOLUTION
Gear and clock with circular arrows around them icon on orange background

Faster time-to-treatment

7 hour (41%)4 reduction in time-to-treatment for pulmonary embolism at Cedars-Sinai

READ THE STUDY
Person with circular arrows around them icon on orange background

Prioritized awareness

44% prioritized awareness of incidental pulmonary embolism at University of Texas Medical Branch 5

LEARN MORE
Speedometer and bar graph icon on orange background

Shorter length of stay

26%6 reduction in length of stay at Cedars-Sinai

READ THE STUDY
Squares with an arrow linking them together icon on orange background

Expedite clinical workflows

Over 80%7 of PE are the result of DVT in the leg or pelvic veins. The earlier Iliofemoral DVT is confirmed, the earlier interventional decisions can be made.

READ THE LITERATURE
Arrow and target icon on orange background

Surface additional procedures

Up to 75%8 of retrievable IVC filters are not retrieved or followed-up on.

READ THE LITERATURE

THE AIDOC DIFFERENCE

As the only AI provider with a complete VTE solution, Aidoc provides the most upstream and downstream benefits to patient and facility outcomes. Aidoc estimates a health system with 1,000 beds, and roughly 900,000 imaging exams each year, could realize up to $1 million in revenue from additional, relevant interventions and $1.5 million in length of stay reduction.

Aidoc VTE Solution
Other AI Solutions
Always on Automatic AI
AI Operating System for Seamless Deployment
Worklist Prioritization
Ability to Activate VTE Teams
Automated EHR Integration
Hub-Spoke Model Enablement
DVT Algorithm (report-based)
IVC Filter Algorithm (report-based)
iPE Algorithm
PE Algorithm
RV/LV Algorithm
REQUEST A MEETING

ADVANCING ACUTE PE CARE

Impact of AI-Driven Activation on Clinical Outcomes

In preliminary application, pulmonary embolism care activation has shown enormous potential in identifying intermediate-high to high-risk PE patients and in facilitating multidisciplinary care activation. Explore real-world outcomes from an AI-enabled PERT workflow.

READ THE WHITEPAPER
Medical professional working with AI imaging on a desktop computer

CONTACT US

1.

Data and Statistics on Venous Thromboembolism | CDC. (2023b, February 16). Centers for Disease Control and Prevention. https://www.cdc.gov/blood-clots/

5.

George, J., Palacio, D. (2022). Clinical outcome of incidental pulmonary embolism detected by artificial intelligence software: a retrospective analysis. Presented at RSNA 2022.

2.

Heit, J. A. (2005). Venous thromboembolism: disease burden, outcomes and risk factors. Journal of Thrombosis and Haemostasis, 3(8), 1611–1617. https://doi.org/10.1111/j.1538-7836.2005.01415.x 

6.

Petry, M., Lansky, C., Chodakiewitz, Y. G., Maya, M. M., & Pressman, B. D. (2022). Decreased Hospital Length of Stay for ICH and PE after Adoption of an Artificial Intelligence-Augmented Radiological Worklist Triage System. Radiology Research and Practice, 2022, 1–7. https://doi.org/10.1155/2022/2141839   

3.

Khosla A. (2022). Transforming Endovascular Care with AI-Triggered PE Response Teams [Webinar]. Aidoc. Available at aidoc.com.

7.

Fleck D, Albadawi H, Shamoun F, Knuttinen G, Naidu S, Oklu R. Catheter-directed thrombolysis of deep vein thrombosis: literature review and practice considerations. Cardiovasc Diagn Ther. 2017 Dec;7(Suppl 3):S228-S237. doi: 10.21037/cdt.2017.09.15. PMID: 29399526; PMCID: PMC5778526

4.

Gupta,K., Lipshutz, G., Friedman O., Matusov Y., Yaqoob M., Steinberger J., Mechanical Thrombectomy, Artificial Intelligence and the Activation of a Pulmonary Embolism Response Team. Cedars-Sinai Medical Center, Department of Imaging. Presented at 2022 PERT Consortium.

8.

Goodin, A., Han Q., Raissi, D., Brown Josh D., A Review of Interventions to Increase Vena Cava Filter Retrieval Rates, Annals of Vascular Surgery, Volume 51, 2018, Pages 284-297

© Copyright 2024 Aidoc