Mamosis Reviews

RXNT has spent over 25 years building cloud-based healthcare software designed for ambulatory practices and medical organizations of all sizes and specialties. Our innovative, AI-powered, and data-backed software solutions help practices grow, improve clinical efficiency, and streamline business operations—whether you're a solo provider, large healthcare organization, or billing services company. With over 60,000 medical professionals across all 50 U.S. states relying on RXNT, our fully-integrated, ONC-certified software system includes Electronic Health Records (EHR), Physician Practice Management (PPMS), Medical Billing and Revenue Cycle Management (RCM), E-Prescribing (eRx), Scheduling, Patient Portal, mobile applications, and more. Every product works seamlessly as one system or can be used standalone, giving you flexibility to choose what works best for your practice. Our SaaS-based Full Suite software solution integrates every area of RXNT through a secure, centralized database, enabling real-time data flow across clinical and administrative functions. Whether you're modernizing your medical practice or scaling your healthcare business, RXNT delivers all-in-one technology to help you succeed. So far, users have transmitted over 125 million prescriptions and processed more than $7 billion in insurance claims. Built for usability and accessibility, RXNT’s cloud-based software is available 24/7 from any device and includes mobile apps for iOS and Android. Simple, transparent pricing means no hidden fees, and every plan includes free implementation & training periods, data migration, storage, software updates, and U.S.-based customer service.

StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment. Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected. AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more. Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production. StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs. A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires. By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.

The landscape of cancer treatment is riddled with choices that often come with significant uncertainty, leaving many patients without adequate support from available resources. This gap not only leads to unnecessary fatalities but also results in the waste of billions within the healthcare system. Our dedicated team, comprising specialists in both computer science and oncology, is committed to confronting these pressing challenges in cancer treatment through the application of artificial intelligence. We are in the process of creating advanced deep learning models designed to analyze individual patient data, providing crucial support to oncologists as they navigate their decision-making processes. By prioritizing oncologists in the development of our AI tools, we guarantee that the insights produced are both interpretable and applicable in real-world scenarios. In partnership with top academic medical centers and practicing oncologists, we are working to address pivotal clinical questions that can lead to better patient outcomes. Our ultimate aim is to refine the decision-making process in cancer care, thereby alleviating the burdens faced by patients and healthcare providers alike, and paving the way for a more effective treatment paradigm. This initiative stands to usher in a new era of personalized cancer therapy, where decisions are informed by data-driven insights tailored to each patient's unique circumstances.