
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.
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Elation Health is the leading platform for primary care, empowering 32,000 clinicians to deliver personalized care to over 16 million patients. With a clinical-first EHR, integrated billing, and AI-powered tools, Elation simplifies care workflows to help independent practices thrive.
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Verana Health
Verana Health operates as a platform for real-world data that converts both structured and unstructured information from electronic health records into curated, de-identified, disease-focused data modules through its clinician-informed and AI-enhanced VeraQ population health data engine. By aggregating data from key collaborations with prominent medical registries, including the American Academies of Ophthalmology, Neurology, and Urological Association, the platform integrates insights from over 20,000 clinicians and approximately 90 million patient records, thereby supplying high-quality datasets in near real-time for the purposes of generating real-world evidence, identifying clinical trial sites and subjects, reporting clinician quality, and managing medical registries. Users can access this wealth of information through cloud services like AWS Data Exchange and Amazon Redshift, which provide self-service API access, a user-friendly dashboard, and tools for customizable cohort discovery. Furthermore, the system employs advanced AI and machine learning algorithms along with comprehensive data quality assessments to ensure the reliability and accuracy of the information provided. This innovative approach not only facilitates efficient data utilization but also enhances the overall quality of healthcare research and practice.
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Azure Text Analytics
Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.
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