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features
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support

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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.

Description

We have been pioneers in the development of clinical NLP platforms and their applications for over 15 years. This has resulted in high precision and accuracy. Our core competency is to interpret unstructured notes accurately and at scale. Tested on billions of real clinical notes and documents. AI that can explain with context, reasoning, and evidence for output. NLP with medical knowledge infused with 4M+ entities and 50M+ relationships. Innovative Machine Learning (ML), & Deep Learning(DL) models were used to build this NLP. Use a foundation of rich ontologies and clinician-specific terminologies. We can understand, interpret, and extract context & significance from the inconsistent, inconsistent, and non-standard data contained in medical documents. Our clinical domain experts continually infuse knowledge graphs to our NLP by mapping all clinical entities and their relationship between them. We have more than 4,000,000 entities and 50,000,000 relationships.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

PINC

Country

United States

Website

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

Vendor Details

Company Name

RAAPID INC

Founded

2022

Country

United States

Website

www.raapidinc.com

Product Features

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

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