4.6 out of 5 stars
(153 Ratings)
QBench is a cloud LIMS that gives testing laboratories one platform for samples, workflows, data, inventory, reporting, quality processes, and client interactions.
Every stage of lab operations runs through QBench, from order placement and sample processing to results and automated reporting. Because the platform is highly configurable, labs set up their own workflows, custom data fields, and automations to match how they already work, then adjust those settings as processes change without leaning heavily on custom code.
File parsers and a robust API link QBench with instruments, software, and other systems. Data moves between them automatically, which cuts down on repetitive entry and transcription errors. For deeper reporting, labs can connect QBench to Tableau, Power BI, Domo, and Looker via REST API.
Core features:
Sample and workflow tracking
Configurable workflows and custom fields
Automation
Instrument and system integrations
File parsers and API access
Inventory management
Client portal
Automated reporting
Analytics and operational insights
Tableau, Power BI, Domo, and Looker connectivity
Built-in Quality Management System (QMS)
Rather than requiring extensive custom development to fit a lab’s processes, QBench is designed to adapt, so changes to fields, processes, and automations stay in the lab’s hands.
Running in the cloud, QBench keeps lab data, workflows, quality management, and reporting secure and centralized. Former bench scientists on the QBench team help customers through implementation and ongoing use.
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4.3 out of 5 stars
(552 Ratings)
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.
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The Galen Platform
Ibex Medical Analytics leads the way in the application of AI technology for cancer diagnostics within pathology. Our multidisciplinary team consists of entrepreneurs, software engineers, data scientists, and healthcare professionals who share a common goal: to transform cancer diagnostics through artificial intelligence, ultimately improving the quality of patient care. As the number of tests conducted each year increases, pathologists encounter considerable challenges in providing accurate and timely evaluations. To tackle these issues, Ibex utilizes AI to develop clinical-grade solutions designed to detect cancer with a level of precision comparable to that of human pathologists. The Galen Platform uses sophisticated algorithms to analyze imaging, identify and categorize cancer in biopsy samples, and emphasize other clinically relevant findings, which aids pathologists in reducing diagnostic mistakes and enhancing their workflow efficiency. In particular, Ibex's Galen™ Prostate and Galen™ Breast tools are groundbreaking AI-driven cancer detection solutions that have been integrated into standard clinical practice in pathology laboratories, demonstrating proven effectiveness in identifying cancer cases that were previously overlooked. As we persist in our quest for progress, our dedication to advancing cancer detection and improving patient outcomes continues to be resolute and inspiring for the entire medical community.
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Paige
Paige's innovative offerings have the capability to transform the way pathologists operate by enhancing the certainty of their diagnoses. The company is dedicated to leading a new frontier in clinical tools and predictive assessments that not only empower pathologists but also redefine the landscape of oncology. By leveraging cutting-edge AI solutions, Paige is setting the stage for the future of pathology. The Paige Platform is a robust, secure solution that guarantees interoperability with laboratory information systems (LIS), seamlessly integrates various scanners, provides cloud storage, streamlines case management, allows for image review through FullFocus®, and features sophisticated AI applications. The Paige Prostate suite of AI tools is meticulously crafted to assist pathologists in pinpointing suspicious regions, grading and quantifying tissue samples, and evaluating perineural invasion (PNI) in prostate needle core biopsies. In a similar vein, the Paige Breast suite of AI applications aids pathologists in analyzing breast cancer by facilitating the identification of malignancies in breast biopsies and detecting metastases in lymph nodes related to breast tissue. These collective advancements not only boost diagnostic precision but also significantly enhance patient outcomes in the realm of oncology, ultimately leading to a more effective and supportive healthcare environment. As pathologists adopt these tools, the potential for improved patient care and treatment strategies becomes increasingly promising.
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