NovaPACS EI Integrations

Fluency for Imaging is a speech-driven radiology reporting solution designed to improve efficiency, accuracy, and workflow automation in medical imaging environments. Developed by Jacobian, the platform integrates advanced speech recognition technology with AI-assisted reporting tools to support radiologists in generating high-quality diagnostic reports. Radiologists can dictate findings naturally while the system automatically structures the information into standardized report formats. Fluency for Imaging also supports the transfer of measurement data and AI findings directly from PACS systems into the report, eliminating manual data entry and reducing the risk of transcription errors. Built-in guideline support provides classification and scoring assistance using frameworks such as BI-RADS, PI-RADS, and TNM. The platform incorporates intelligent nudging and real-time feedback to help maintain report accuracy and compliance with clinical standards. Fluency for Imaging also supports ontology-based coding using standards such as RadLex, SNOMED CT, and ICD-10, enabling structured reporting and improved interoperability with hospital systems. With multimedia reporting capabilities, radiologists can include annotated images, tables, and visual elements directly within reports to enhance clarity and communication. By combining AI automation, structured reporting, and seamless system integration, Fluency for Imaging helps healthcare organizations streamline radiology workflows and improve diagnostic reporting quality.

Solventum Ambulatory Potentially Preventable Complications (AM-PPCs) Classification System is a clinically designed classification methodology that helps healthcare providers, payers, and researchers evaluate the quality and safety of outpatient procedures. The system identifies potentially preventable complications that occur after elective ambulatory procedures by analyzing sequenced billing data and coded clinical information. AM-PPCs links procedures with related complications that may occur within 30 days after treatment, even when patients receive follow-up care in different healthcare settings. The classification framework covers more than 3,350 procedures grouped into 116 clinically defined procedure categories and identifies complications from over 1,900 diagnoses organized into 70 complication groups. Healthcare organizations can use these insights to track performance by provider, facility, service line, and procedure type. The system also includes benchmarking capabilities based on Medicare, Medicaid, and commercial populations across multiple service lines. By providing structured outcome data and complication tracking, AM-PPCs enables healthcare systems to identify improvement opportunities, enhance patient safety, and better manage outpatient care quality.

Nuance Performance Analytics enhances clinical, financial, and patient outcomes by offering real-time data analytics and decision support systems tailored for quality management, CDI leadership, and patient safety teams to effectively monitor, evaluate, and benchmark their performances. This comprehensive web-based solution integrates the most up-to-date regulatory, payment, and reporting guidelines, presenting a variety of customizable options that facilitate risk analysis and pinpoint areas for potential improvement. Unlike other systems that update data weekly or monthly, this platform refreshes data daily across all criteria, serving as a unified source for care team members to gain insights into various populations and their performances. It also allows for the identification of emerging trends through visual representations of performance opportunities, and it connects inpatient and outpatient outcomes to identify major complications and comorbidities that qualify as hierarchical condition categories. By providing easily customizable reports that cater to the diverse requirements of stakeholders from the boardroom to the bedside, Nuance Performance Analytics ensures that all levels of the organization can access the information they need to drive quality improvements. This adaptability makes it a vital tool in the ongoing effort to enhance healthcare delivery.