ClinionAI Medical Coding Description
Fully automated, AI-enabled Medical Coding software to aid your team work faster & smarter.
ClinionAI uses Deep Learning NLP models for the automated coding of adverse events and concomitant medication.
The AI Medical Coding algorithm was trained using millions of biomedical terms to aid in medical context learning using machine-learning models.
The model embeds MedDRA dictionaries. Clinion EDC adverse event terms are matched by the ML Algorithm with MedDRA dictionary terms. Results with associated confidence scores are displayed. The best fit can be chosen by users!
ClinionAI Medical Coding Alternatives
XpertCoding by XpertDox is an AI medical coding software that utilizes advanced artificial intelligence, machine learning, and natural language processing (NLP) to automatically code medical claims within 24 hours. This software streamlines and enhances the coding process, ensuring faster and more accurate claim submissions and maximizing financial returns for healthcare organizations.
Features include a comprehensive coding audit trail, minimal need for human supervision, a clinical documentation improvement module, seamless integration with EHR systems, a business intelligence platform, a flexible cost structure, significant reduction in claim denials and coding costs, and risk-free implementation with no initial fee and a free first month.
XpertCoding's automated coding software ensures timely payments for healthcare providers & organizations, accelerating the revenue cycle and allowing them to focus on patient care. Choose XpertCoding for reliable, efficient, and precise medical coding tailored to your practice.
Learn more
RXNT's cloud-based, ambulatory healthcare software empowers medical practices and healthcare organizations of all sizes and most specialties to launch, succeed, and scale through innovative, data-backed, AI-powered software.
Our integrated, ONC-certified healthcare software system—including Electronic Health Records, Practice Management, Medical Billing and RCM, E-Prescribing, Practice Scheduling, Patient Portal, and more—will streamline clinical outcomes, practice management, and revenue cycle management for your medical organization.
RXNT is trusted by over 60 thousand providers and medical professionals across all 50 states in the U.S.A. to drive business growth, optimize operations, and improve the quality of patient care.
All of our SaaS-based software products can be purchased standalone, but you can run you entire practice—from encounter to billing—with our unified Full Suite system. It utilizes a secure, central database so your data passes through every product in real-time from anywhere. Using our software, more than 125MM prescriptions have been transmitted and over $7B in claims have been processed.
Our predictable, transparent subscription pricing model includes free setup & training, support, mobile apps, and more.
Learn more
dezzai Sentria
Sentria is a cutting-edge platform that utilizes artificial intelligence to manage adverse event cases and conduct post-marketing surveillance. This software solution is user-friendly, highly customizable, and automated, ensuring it meets industry regulations to improve the efficiency, speed, and accuracy of adverse event handling. It supports pharmacovigilance compliance with international ICH guidelines while adhering to local regulatory requirements for the assessment of adverse events. By providing an easy-to-use interface enhanced with pharmacovigilance automation, Sentria minimizes reporting errors through smart alerts and simplifies report processing by employing international coding standards such as MedDRA and ATC/WHO. The platform enhances analytical capabilities through the use of semantic artificial intelligence tailored for pharmacovigilance needs. Notably, Sentria offers features like secure access controlled by user credentials, comprehensive auditable logs to ensure compliance, and a secure encrypted cloud environment for data protection. These functionalities collectively empower organizations to manage adverse events more effectively, contributing to better patient safety outcomes.
Learn more
Veeva Vault Safety
Veeva Vault Safety is an advanced system designed for the management of individual case safety reports, facilitating the collection, processing, and reporting of adverse events related to both clinical trials and marketed products. This comprehensive platform allows sponsors and contract research organizations (CROs) to handle both global and local adverse events for various categories, including drugs, biologics, vaccines, devices, and combination products. Its integrated gateway connections and established reporting protocols enhance the efficiency of submitting cases to regulatory authorities and sharing information with partners. Additionally, the centralized management of coding dictionaries automates updates for MedDRA, WHODrug, and EDQM on a semi-annual basis. By consolidating pharmacovigilance processes within a single cloud environment, Vault Safety promotes proactive measures in ensuring patient safety. The system also utilizes real-time reports and dashboards, coupled with seamless collaboration, to enhance visibility and ensure compliance regarding adverse event reporting. Ultimately, this innovative solution transforms the approach to safety management in the pharmaceutical industry, fostering a more efficient and effective response to patient safety concerns.
Learn more
Integrations
No Integrations at this time
Company Details
Company:
Clinion
Year Founded:
2010
Headquarters:
India
Website:
www.clinion.com/ai-medical-coding/
Media
Recommended Products
Host LLMs in Production With On-Demand GPUs
Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
Product Details
Platforms
Web-Based
Types of Training
Live Training (Online)
Training Videos
Customer Support
Live Rep (24/7)
Online Support
ClinionAI Medical Coding Features and Options
ClinionAI Medical Coding Lists
ClinionAI Medical Coding User Reviews
Write a Review- Previous
- Next
