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Description

Healthcare institutions allocate significant time, resources, and finances toward EHR solutions to adhere to best practices and enhance patient outcomes, leaning heavily on effective clinical decision support (CDS) to achieve these objectives. However, the challenge lies in assessing which CDS initiatives within your EHR are proving to be successful or ineffective. FDB CDS Analytics equips you and your organization with robust tools that enable easy identification, monitoring, and personalization of clinical decision support, ultimately enhancing clinician experiences and amplifying the impact of CDS. With user-friendly dashboards, you can observe trends across your organization and delve into specifics at both the departmental and individual user levels. The solution offers pre-configured CDS monitoring and reporting metrics to facilitate a quick start, helping you determine the optimal timing for information delivery in the workflow. Additionally, you can track the long-term effects of clinical decision support and keep an eye on the most frequently triggered medication alerts, allowing you to concentrate customization efforts on areas that yield the greatest impact. This comprehensive analytics approach not only streamlines decision-making processes but also fosters continuous improvement in healthcare delivery.

Description

PINC AI™ Stanson products aim to minimize low-value and superfluous care by providing real-time notifications and pertinent analytics that assist in shaping physician choices, enhancing patient outcomes, decreasing waste, and effectively lowering healthcare expenses. The Stanson Clinical Decision Support (CDS) system draws from well-respected sources, is integrated within electronic medical records, and fits seamlessly into the everyday workflows of healthcare providers. As the healthcare environment continues to change, it is crucial for organizations to identify cost-saving measures while maintaining high standards of care in order to stay competitive. A considerable portion of total healthcare expenditures is attributed to unnecessary or inappropriate care, with over 80 percent of these costs stemming from decisions made by physicians. Research indicates that doctors are keen on minimizing unnecessary interventions and largely support the implementation of clinical guidelines. Providing timely and accurate decision support at the care delivery point is essential to achieving cost reductions, ultimately supporting the sustainability of healthcare systems. By addressing these challenges, organizations can foster a more efficient care model that benefits both patients and providers alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

First Databank

Country

United States

Website

www.fdbhealth.com/solutions/clinical-decision-support-analytics

Vendor Details

Company Name

PINC

Country

United States

Website

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

Product Features

Product Features

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