The Semantic Health Information Platform maximizes coder & auditor efficiency to improve documentation quality, optimize reimbursements and enable real-time access to coded data
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The Semantic Health Information Platform maximizes coder & auditor efficiency to improve documentation quality, optimize reimbursements and enable real-time access to coded data
Download product sheet"Semantic Health’s concurrent coding and auditing platform is the future we’ve been waiting for. My CFO has made it my strategic priority for the coming year to make this happen."
Our proprietary artificial intelligence and deep learning algorithms analyze clinical notes as they are created to generate longitudinal patient narratives, identify data quality deficiencies, and assign medical codes based on clinical evidence.
All insights are then presented to medical coders and auditors in an intuitive user interface to improve coding efficiency & accuracy, focus auditing efforts on high-value opportunities, and spin up high-quality clinical documentation improvement (CDI) programs from scratch.
Our proprietary artificial intelligence and deep learning algorithms analyze clinical notes as they are created to generate longitudinal patient narratives, identify data quality deficiencies, and assign medical codes based on clinical evidence.
All insights are then presented to medical coders and auditors in an intuitive user interface to improve coding efficiency & accuracy, focus auditing efforts on high-value opportunities, and spin up high-quality clinical documentation improvement (CDI) programs from scratch.
Optimize Reimbursements | Increase Productivity | Reduce Audit Risks | Increase Documentation Quality
Accurately capture case complexity by eliminating missed or underspecified medical codes
Streamline workflows with AI-powered insights and simpler navigation of complex documentation in one interface
Limit claim denial risk and make coding more transparent with clear and explainable audit trails for every code
Identify document quality issues and coding deficiencies in real-time to improve clinical documentation
Accurately capture case complexity by eliminating missed and underspecified medical codes
Streamline workflows with AI-powered insights and simpler navigation of complex documentation in one interface
Limit claim denial risk and make coding more transparent with clear and explainable audit trails for every code
Identify document quality issues and coding deficiencies in real-time to improve clinical documentation
The Semantic Health Information Platform, through its core coding and auditing technology, links and enriches unstructured and structured data to power operations, research, care delivery and population health management
Our platform reviews patient charts as they are created to identify the most relevant medical codes, providing a clear evidence trail within the documentation.
Simple charts are automatically coded while reviews of long and complex charts are streamlined significantly with patient summaries, code suggestions and all tools accessible in one interface.
Our platform audits your coded charts, whether from your team or from an external vendor, to determine whether assigned codes are supported by the clinical documentation. The platform then identifies missed or underspecified codes and directs auditors review towards the exact location in the documentation requiring review.
The insights can be used to spin up new data-driven, high-quality and relevant clinical documentation improvement programs.
Our platform reviews patient charts as they are created to identify the most relevant medical codes, providing a clear evidence trail within the documentation.
Simple charts are automatically coded while reviews of long and complex charts are streamlined significantly with patient summaries, code suggestions and all tools accessible in one interface.
Our platform audits your coded charts, whether from your team or from an external vendor, to determine whether assigned codes are supported by the clinical documentation. The platform then identifies missed or underspecified codes and directs human review towards the exact location in the documentation requiring review.
The insights can be used to spin up new data-driven, high-quality and relevant clinical documentation improvement programs.
Significant efficiency and accuracy gains supercharge coding and auditing teams’ ability to improve data quality
Real-time access to coded data and unstructured data insights to power operations, reporting and analytics
Recover millions of dollars in missed reimbursement opportunities and reduce the risk of denials and audits
Significant efficiency and accuracy gains supercharge coding and auditing teams’ ability to to improve data quality
Real-time access to coded data and unstructured data insights to power operations, reporting and analytics
Recover millions of dollars in missed reimbursement opportunities and reduce the risk of denials and audits
CAC tools struggle for long and complex documentation as they have limited understanding of clinical context and rely on rules and keyword triggers to suggest codes. Semantic Health leverages recent inflections in artificial intelligence that make its natural language processing capabilities at least 10x more effective in understanding the subtle clinical nuance and complex patient narratives in unstructured documentation. The system also learns at a much more rapid pace from both coder feedback and additional data.
Unlike other offerings that are retrospective, this transformative engine can read and understand clinical documentation as it is created in real-time to power a variety of different use-cases, including medical coding, auditing, and enhanced CDI initiatives. In addition, the platform offers a simple, unified coding and auditing workflow that integrates and automatically summarizes structured and unstructured documentation and provides the required encoding, abstracting, and reference tools.
CAC tools struggle for long and complex documentation as they have limited understanding of clinical context and rely on rules and keyword triggers to suggest codes. Semantic Health leverages recent inflections in artificial intelligence that make its natural language processing capabilities at least 10x more effective in understanding the subtle clinical nuance and complex patient narratives in unstructured documentation. The system also learns at a much more rapid pace from both coder feedback and additional data.
Unlike other offerings that are retrospective, this transformative engine can read and understand clinical documentation as it is created in real-time to power a variety of different use-cases, including medical coding, auditing, and enhanced CDI initiatives. In addition, the platform offers a simple, unified coding and auditing workflow that integrates and automatically summarizes structured and unstructured documentation and provides the required encoding, abstracting, and reference tools.
Increase Reimbursement
Increase Productivity
Increase Documentation Quality
Reduce Coding Errors
Increase Reimbursement
Increase Productivity
Increase Documentation Quality
Reduce Coding Errors
Dive into how our coding solution helped a world-renowned pediatrics hospital streamline their complex inpatient coding workflow
Improve coding efficiency
Increase coding accuracy and data quality
Streamline review of long and complex documentation
Dive into how our auditing solution helped a leading pediatrics hospital audit their inpatient charts for missed reimbursement opportunities in under 2 weeks
Optimize reimbursement
Improve audit speed
Reduce audit and compliance risk