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What is PINC AI Stanson?

PINC AIâ„¢ Stanson products are designed to reduce unnecessary and low-value healthcare services by delivering real-time alerts and relevant analytics that guide physicians in their decision-making processes, thereby improving patient outcomes, reducing waste, and lowering overall healthcare costs. The Stanson Clinical Decision Support (CDS) system relies on reputable sources of information, integrates smoothly with electronic medical records, and aligns with the daily practices of healthcare professionals. As the healthcare landscape evolves, it is essential for organizations to seek out strategies to cut costs while upholding a high quality of care in order to remain competitive. A significant percentage of overall healthcare spending is linked to inappropriate or unnecessary care, with over 80 percent of such costs originating from physician decisions. Studies reveal that physicians are eager to reduce unnecessary procedures and largely endorse the adoption of clinical guidelines. Delivering prompt and precise decision support at the point of care is vital for achieving cost savings, which ultimately aids in the sustainability of healthcare systems. By tackling these issues, organizations can create a more efficient care model that not only benefits patients but also enhances the experience for healthcare providers. This dual advantage underscores the importance of innovation in clinical decision-making tools.

What is Artrya?

Artrya partners with clinics that focus on patients with chest pain to pioneer advanced AI-driven cardiovascular care models. This collaboration facilitates the integration of high-prognostic value plaque characteristics into the evaluation of coronary artery disease. In both emergency and primary care settings, swift assessments of chest pain patients become achievable. We foresee a future where heart attack occurrences within communities are drastically diminished. By leveraging AI insights from coronary computed tomography angiography (CCTA), healthcare providers can quickly categorize chest pain patients within minutes, based on the type and volume of arterial plaque identified. This innovative technology allows for the prompt detection of individuals with minimal or no coronary artery disease, ensuring that no concealed plaque characteristics are overlooked that could potentially lead to severe cardiac incidents in the future. Identifying early signs of a possible heart attack is of utmost importance. Furthermore, this method enables the effective identification of patients at risk who present with acute or atypical chest pain, guaranteeing they receive appropriate further evaluation and treatment. By adopting this proactive approach, not only are patient outcomes improved, but the overall health of the community is also enhanced, fostering a culture of preventive care. The ongoing commitment to integrating cutting-edge technology will continue to transform cardiovascular care for the better.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PINC

Company Location

United States

Company Website

www.pinc-ai.com/stanson-health/clinical-decision-support/

Company Facts

Organization Name

Artrya

Company Location

Australia

Company Website

www.artrya.com

Categories and Features

Categories and Features

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