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Description
John Snow Labs has developed a sophisticated large language model (LLM) specifically for the medical field, aimed at transforming how healthcare organizations utilize artificial intelligence. This groundbreaking platform is designed exclusively for healthcare professionals, merging state-of-the-art natural language processing (NLP) abilities with an in-depth comprehension of medical language, clinical processes, and compliance standards. Consequently, it serves as an essential resource that empowers healthcare providers, researchers, and administrators to gain valuable insights, enhance patient care, and increase operational effectiveness. Central to the Healthcare LLM is its extensive training on a diverse array of healthcare-related materials, which includes clinical notes, academic research, and regulatory texts. This targeted training equips the model to proficiently understand and produce medical language, making it a crucial tool for various applications such as clinical documentation, automated coding processes, and medical research initiatives. Furthermore, its capabilities extend to streamlining workflows, thereby allowing healthcare professionals to focus more on patient care rather than administrative tasks.
Description
PwC's SMART (Systematic Monitoring and Review Technology) enhances both the efficiency and effectiveness of evaluating the quality of inpatient and outpatient coding processes while establishing a framework for quality assurance and compliance reviews. In conjunction with the support from PwC Health Information Advisory, SMART reinforces your strategy for monitoring coding accuracy and overall data quality. The SMART Inpatient module features over 1,000 established business rules designed to uncover potential coding errors and opportunities for documentation enhancement, with the option to tailor business rules to meet your specific needs. Comprehensive reporting and data analysis capabilities allow for the assessment of staff performance and the identification of educational needs in areas such as Coding, Clinical Documentation Improvement (CDI), Quality, and Providers. Additionally, the SMART Outpatient module boosts claim accuracy and highlights issues related to charge capture and workflow optimization. By mitigating the risks associated with inaccurate coding, it also fosters better regulatory compliance, ultimately benefiting the entire healthcare organization. Furthermore, the integration of these tools significantly streamlines the coding review process, ensuring higher standards of care and operational efficiency.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Databricks
Databricks Data Intelligence Platform
Defog
FLAN-T5
GPT-3.5
GPT-4
Llama 2
Microsoft Azure
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Databricks
Databricks Data Intelligence Platform
Defog
FLAN-T5
GPT-3.5
GPT-4
Llama 2
Microsoft Azure
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
John Snow Labs
Country
United States
Website
www.johnsnowlabs.com/healthcare-llm/
Vendor Details
Company Name
PwC
Founded
1998
Country
United Kingdom
Website
www.pwc.com/us/en/products/smart.html
Product Features
Product Features
Claims Processing
Adjustor Management
Case Management
Claim Resolution Tracking
Co-Pay & Deductible Tracking
Compliance Management
Customer Management
Electronic Claims
Forms Management
Paper-Based Claims
Payor Management
Policy Administration