AbbaDox Triumphs with NextGen Tech Award Recognizing Innovation in Radiology

AbbaDox Triumphs with NextGen Tech Award



AbbaDox, a leader in operational AI solutions for outpatient radiology, was awarded the prestigious NextGen Tech Award at the recent RBMA Rad Honors ceremony. This distinguished accolade was presented during the RBMA PaRADigm annual meeting, celebrating advancements that significantly enhance the radiology field.

The NextGen Tech Award recognizes groundbreaking innovations that streamline processes and increase accessibility in healthcare. AbbaDox's operational AI platform has been pivotal in addressing persistent challenges within the radiology sector, primarily focusing on improving clinical imaging workflows and reducing the fragmented manual operations that have traditionally hindered efficiency.

The company’s flagship product, AbbaDox CareFlow, serves as an intelligent operations platform that automates various aspects of the patient journey, from referral management to scheduling and post-appointment follow-up. By integrating AI-driven workflows, AbbaDox enables imaging centers to boost their operational capacity without necessitating additional staffing.

Notable achievements attributed to this platform include processing 17,228 imaging orders in just a week and automating 96% of inbound faxes - all without manual input. Furthermore, the patient satisfaction rate soared to 94%, thanks to AI-supported scheduling interactions. The platform also provides 24/7 scheduling coverage harnessed through VoiceAI technology, which keeps operations running smoothly without the need for extra personnel.

Dianne Keen, AbbaDox's Vice President of Strategy and Growth, highlighted the company's commitment to resolving real operational issues rather than simply adding more technology. Her remarks underscored the importance of removing obstacles for healthcare staff and enhancing patient access to care.

The RBMA selection committee member noted, "The NextGen Tech Award exists to spotlight solutions that move radiology forward in practical, measurable ways. AbbaDox stood out for its focus on operational workflows that directly impact patient access and practice sustainability.”

AbbaDox's approach revolves around operational AI, which tackles the myriad tasks surrounding patient scans, rather than the scans themselves. As the demand for imaging grows alongside staffing limitations, this targeted focus has proven to generate solid returns. For instance, one imaging network reclaimed over $63,000 in revenue through a single automated patient re-engagement initiative. Another multi-location enterprise experienced a return on investment in less than 60 days after switching from paper-based systems to digital workflows.

The company continues to innovate by expanding CareFlow’s capabilities to include conversational scheduling and voice-guided workflows, handling everything from patient greetings to confirmation calls. These enhancements are developed and customized in-house to cater specifically to the outpatient radiology market.

This accolade at the RBMA Rad Honors further cements AbbaDox's reputation for commitment to innovation while supporting the personnel behind these operations. In 2025, the company was also recognized with the Culture and Well-Being Award at the same ceremony, affirming its dedication not just to advancing medical technology but also to fostering the well-being of its employees.

To explore more about AbbaDox and its offerings, please visit AbbaDox's website.

About AbbaDox
Founded in 2003, AbbaDox has emerged as the premier operations platform for outpatient radiology, enjoying an impressive 4.9 out of 5 rating on Capterra. The company's suite of tools automates pivotal aspects of imaging center operations, including scheduling, patient engagement, referral management, and document processing—all powered by AI specifically designed for radiology workflows. AbbaDox is headquartered in Aventura, Florida, and has been recognized as a Top Workplace for three consecutive years.

Topics Health)

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