Diagnosis Coding Technologies & Services for Healthcare Providers

Improve clinical documentation accuracy and healthcare decision-making

Diagnosis Coding Technologies & Services for Healthcare Providers

Accurate Prospective HCC Risk Adjustment for Healthcare Providers

Healthcare providers today face numerous challenges when it comes to International Classification of Diseases (ICD) codes, Hierarchical Condition Categories (HCCs) and Risk Adjustment Factor (RAF) score analysis. These challenges include keeping up with regular updates, conforming to complex regulations, and dealing with data inconsistencies and discrepancies, among others.

To address these challenges effectively, healthcare providers need reliable diagnosis code analysis technology solutions & services that can simplify the entire process. With such solutions in place, physicians can focus more on delivering quality care while leaving the tedious task of coding to specialized professionals who have a deep understanding of the constantly changing regulatory environment.

In summary, professional diagnosis code analysis technology help reduce errors in coding which ultimately results in better patient outcomes and value-based care.

 

See what's for healthcare providers in the risk adjustment settings:

We Support Healthcare Providers Including

At Risk Entities (Upstream Risk Bearing Entities)

Accountable Care Organization (ACOs & ACO Reach)

Medicare Shared
Savings Program
(MSSP)

Bundled Payment Plans, PCPs, Physician Groups & IPAs

Our Risk Adjustment Solutions

HCC SAGE

Auto-suspect diagnosis codes

Uses NLP to capture new & uncoded diagnoses that are helpful for physicians to offer the utmost value-based care (VBC).

value-based care
care management

HCC TRIAGE

Auto-prioritize patient care

Identify high-value HCC opportunities and forecast personalized care for patients based on their unique needs and risks.

Make the Most out of RAAPID’s AI Risk Adjustment Technology

> 0
Years of Healthcare & AI Experience
> 0
Healthcare Clients Served
> 0 X
Return On Investment
> 0 %
Increased Efficiency And Productivity
> 0 %
Complete, Defensible Risk Scores
> 0 %
Reimbursement Accuracy

Our Extended Risk Adjustment Services

ICD-10 & HCC Coding

ICD-10-CM & HCC Coding

Adopt advanced NLP technology and work with experienced ICD coders to identify potential HCC coding errors before pre or annual wellness visits.

Clinical Analytics

Clinical Analytics

Gain insights into patient populations and their medical conditions, which helps forecast high-risk patients who require additional care.

Health plans

Risk Adjustment Insights for Healthcare Providers

Why RAAPID’s Risk Adjustment Technology Solutions and Services for Healthcare Providers

NLP

NLP

Our NLP technology will help you automate the process of identifying relevant ICD codes for medical diagnoses and procedures.

Knowledge Graph

Knowledge Graph

Accurately extract key information from patient records such as symptoms or diagnoses and automatically assign the appropriate ICD codes.

OCR

OCR

Accurately convert handwritten or printed text into digital format, making it easier for healthcare professionals to access and analyze patient data.

ML DL AI

ML/DL AI

Recognize patterns in diagnosis descriptions, medical histories, lab results, radiology reports, and other relevant information.

API

API

Using our clinical APIs you can improve communication between various healthcare systems and providers, ultimately leading to improved patient care outcomes.

How Do We Support You

Without
With
a 39
HCC TRIAGE

Risk Stratification Healthcare Management Technology for VBC Organizations

Client Testimonials 

FAQs related to healthcare providers

Our NLP technology helps reduce physician burnout by automating the documentation process with an AI-powered assistant. Physicians can trust RAAPID INC to uncover diagnosis codes that can be addressed during a point of care.

Electronic health records (EHRs) contain vast amounts of unstructured textual data that can be difficult for healthcare providers to navigate efficiently. By applying NLP algorithms to these records, providers can identify patterns and insights into patient treatments, diagnoses, and medication regimens. This helps them personalize treatment plans for each patient based on their unique needs.

NLP-powered systems use advanced semantic analysis to understand the meaning behind medical terminology, abbreviations, acronyms, and other components of clinical language. This allows them to identify key concepts within a text document and map them to appropriate codes from an extensive database of ICD-10-CM and HCC codes.

Moreover, NLP helps providers ensure compliance with regulatory requirements such as HIPAA by anonymizing patient data during processing.

Outsourcing your ICD-10-CM coding services can be a smart decision for many healthcare organizations. Here are some situations when outsourcing may make sense:

1. Lack of Expertize: If you don’t have experienced coders on staff, outsourcing to a specialized coding service can ensure accuracy and compliance.

2. Volume Fluctuations: If your organization experiences seasonal or cyclical volume fluctuations, outsourcing allows you to flexibly scale up or down as needed without the expense of hiring and training additional employees.

3. Cost Savings: Outsourcing International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding services can often provide cost savings over in-house solutions, especially if you factor in the costs associated with recruiting and retaining skilled coders.

4. Focus on Core Competencies: Outsourcing non-core competencies such as ICD-10 coding allows your organization to focus on its primary mission and priorities rather than being bogged down by administrative tasks.

1. Expertize in Healthcare: The first thing to look for is whether the NLP vendor has expertise in healthcare. Healthcare is a highly regulated industry with complex terminology and regulations, so it’s important that the vendor understands how these factors impact natural language processing. Look for vendors who have experience working with healthcare organizations and understand their unique needs.

2. Scalability: As your healthcare organization grows, so too will your need for NLP services. Make sure you select a vendor that offers scalable solutions that can grow along with your organization’s needs.

3. Accuracy & Reliability: One of the most critical factors when selecting an NLP service provider is the accuracy and reliability of their offerings. You need a solution that provides consistent results even as new data comes in over time.

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