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What is Semantic Health?

Transforming medical coding and auditing through cutting-edge artificial intelligence, our platform significantly improves the efficiency of manual inpatient coding tasks, enhances documentation quality, and allows your team to focus on more impactful responsibilities. Prominent hospitals are witnessing remarkable progress due to Semantic Health’s pioneering solutions. By utilizing custom-built clinical AI and natural language processing algorithms, crafted from millions of medical records by our talented AI professionals, we can meticulously analyze clinical and coded data. This capability allows our coding and auditing systems to comprehend complex clinical contexts, adjust to changing coding standards, and pinpoint premium coding and auditing opportunities, all underpinned by definitive evidence from clinical documentation. The integration of AI into the traditionally demanding processes of medical coding and auditing not only saves valuable time but also optimizes your revenue cycle. Additionally, Semantic Health offers hospitals and healthcare systems a robust inpatient auditing platform that performs thorough pre-bill reviews of claims data, ensuring every detail is carefully verified prior to submission, which ultimately optimizes operational workflows while greatly minimizing the likelihood of errors. By harnessing these advanced technologies, healthcare providers can achieve greater accuracy and efficiency in their coding practices.

What is PwC SMART?

PwC's Systematic Monitoring and Review Technology (SMART) significantly improves the efficiency and effectiveness of assessing the quality of both inpatient and outpatient coding processes while creating a robust framework for quality assurance and compliance evaluations. Supported by PwC Health Information Advisory, SMART strengthens your approach to monitoring coding accuracy and enhancing overall data quality. The inpatient module of SMART includes more than 1,000 predefined business rules aimed at identifying possible coding mistakes and opportunities for improving documentation, with flexibility to customize rules according to specific organizational needs. Its extensive reporting and data analysis features facilitate the evaluation of staff performance and highlight areas that require educational focus, such as Coding, Clinical Documentation Improvement (CDI), Quality, and Providers. Moreover, the outpatient module enhances claim accuracy and brings attention to issues concerning charge capture and the optimization of workflow processes. By addressing the risks associated with inaccurate coding, the system also promotes better regulatory compliance, ultimately leading to advantages for the entire healthcare organization. Furthermore, the combination of these modules effectively simplifies the coding review process, thereby ensuring elevated standards of care and improved operational efficiency, which can significantly impact the overall success of healthcare delivery. In this way, organizations can not only enhance their coding practices but also contribute to a higher quality of patient care.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Semantic Health

Company Location

Canada

Company Website

www.semantichealth.ai/

Company Facts

Organization Name

PwC

Date Founded

1998

Company Location

United Kingdom

Company Website

www.pwc.com/us/en/products/smart.html

Categories and Features

Healthcare AI

Not specified

Medical Coding

Not specified

Categories and Features

Claims Processing

Not specified

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