RXNT
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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Labra
Labra offers an AI-powered solution for businesses in the cloud ecosystem, enabling rapid go-to-market deployment with minimal engineering effort. The platform automates key aspects of the GTM process, such as listing solutions on major cloud marketplaces (AWS, Azure, Google Cloud), co-selling, and CRM synchronization. Labra reduces manual work and internal bottlenecks, helping sales teams close deals faster and increase revenue. It also empowers businesses to form stronger partnerships with cloud providers and channel partners, enhancing visibility and generating more qualified opportunities for sustained growth. By providing a centralized platform for GTM activities, Labra helps businesses manage relationships, streamline communication, and optimize performance. The system's ability to integrate seamlessly with existing tools further reduces the complexity of managing cloud sales and marketing efforts.
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Posos
Posos, a leading AI clinical-decision-support solution, helps clinicians customize every prescription to the patient profile using up-to date and multi-sources of medical data.
Posos reduces the workload of providers while improving patient safety. It does this by comparing evidence-based data with EHR data to identify iatrogenic risk and reduce over-alerting. It offers potential drug substitutions that minimize side effects for the same or similar conditions.
Posos API modules can be seamlessly incorporated into EHR software or ePrescription software. It has been successfully embedded in 15 EHRs and EMRs.
It is based on the first native SNOMED-structured multilingual medical database.
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PINC AI Stanson
PINC AI™ Stanson products aim to minimize low-value and superfluous care by providing real-time notifications and pertinent analytics that assist in shaping physician choices, enhancing patient outcomes, decreasing waste, and effectively lowering healthcare expenses. The Stanson Clinical Decision Support (CDS) system draws from well-respected sources, is integrated within electronic medical records, and fits seamlessly into the everyday workflows of healthcare providers. As the healthcare environment continues to change, it is crucial for organizations to identify cost-saving measures while maintaining high standards of care in order to stay competitive. A considerable portion of total healthcare expenditures is attributed to unnecessary or inappropriate care, with over 80 percent of these costs stemming from decisions made by physicians. Research indicates that doctors are keen on minimizing unnecessary interventions and largely support the implementation of clinical guidelines. Providing timely and accurate decision support at the care delivery point is essential to achieving cost reductions, ultimately supporting the sustainability of healthcare systems. By addressing these challenges, organizations can foster a more efficient care model that benefits both patients and providers alike.
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