Learn more about Bialogics for

Radiology
Cardiology
Quality Assurance
Clinical Research
Interoperability
Medical NLP
Closed Loop Follow-Up Exam Management
Radiologists

Radiology

Bialogics DImax platform for Radiology collects data from RIS/PACS, and other contributing information systems used in radiology systems to create real-time insights into referral and ordering patterns and appropriateness, modality utilization, imaging workflow, report turnaround times, and diagnostic accuracy and quality to drive evidence-based optimization and continuous improvement programs.

  • Achieve real-time insight into end-to-end radiology workflow to identify inefficiencies and optimize modality utilization and reduce turnaround times
  • Easily extract and correlate clinical insights from imaging orders and narrative reports to better support chronic disease management for complex patients
  • Integrate multiple sources of imaging data such as RVU, Physician Scheduling, Peer Review,  and Sub-specialty classification
Learn more about the DImax platform for Radiology

Cardiology

Bialogics DImax platform for Cardiology collects and correlates data from Cardiovascular modalities and devices, CVIS, CPACS, the EHR, and more to deliver real-time insights into procedure volumes, quality metrics, accreditation statistics, workflow efficiency, and financial performance to help cardiology practices maintain their edge as outcomes-based revenue centers while managing the transition towards value-based care.

  • Easily correlate multi-modality findings, measurements, and clinical indicators for complex cases and patients
  • Accurately measure procedure times, inventory management, and associated costs
  • Simplify and reduce the manual burden of registry reporting and accreditation
Learn more about the DImax platform for Cardiology
Cardiologist
Consultation

Quality Assurance

Bialogics DImax platform provides a variety of dashboards, reports, and flexible data interrogation tools to simplify the design, execution, and monitoring of quality-based initiatives and continuous improvement programs:

  • Proactively monitor exam follow-up recommendations to ensure timely adherence.
  • Proactively monitor and report upon referring physician ordering appropriateness according to best practices and CMS guidelines.
  • Expand and automate quality-based reporting to access value-based reimbursements and incentives. (P4P, MACRA, MIPS)
Learn more about the DxPro platform for Quality Assurance.

Research

Bialogics DxPro platform uses advanced NLP designed specifically for medical text analysis to create structured data from the unstructured text within radiology, and cardiology reports to simplify cohort identification and accelerate data collection and correlation for research across clinical systems, specialties, and patient populations.

  • Intelligently compare cross-specialty findings, measurements, and clinical indicators associated with complex conditions to uncover key clinical insights.
  • Improve the accuracy and reliability of your research findings by eliminating conscious and unconscious bias inherent in human-based data analysis.
  • Reduce the cost, effort, and delays associated with manual cohort identification and abstraction.
Learn more about the DxPro platform for Clinical Research
Research
Beyond Natural Language Understanding

Beyond Natural Language Processing to Medical Language Understanding

Bialogics Vendor agnostic platform leverages deep learning NLP to deliver in-depth analysis of clinical outcomes NLP goes beyond identifying terms within the medical text to understanding the relevance and relationships that exist within and between structured and unstructured radiology reports and medical imaging orders.

  • Automatically process all types of medical text with high precision and recall, aided by deep learning models that parse and understand the often-confusing text of medical imaging reports
  • Summarize and sort diagnoses from clinical reports by dictionary, diagnosis, diagnostic category, report date, and report type or segment
  • Extract and codify medical entities using standard and custom ontologies (e.g. RadLex, SNOMED, RxNorm, etc.)
  • Perform semantic search queries for deeper analysis of cohort clinical criteria
Learn More about the DxPro NLP Engine

Hassle-Free Interoperability

Bialogics is the first fully interoperable, truly vendor agnostic platform for medical imaging clinical and business analytics. Designed specifically to address the challenges associated with heterogeneous imaging ecosystems, the DImax engine integrates quickly and seamlessly into any organization without the need for costly, custom interface development. Leveraging non-invasive, highly secure wire collection techniques Bialogics can be deployed rapidly with minimal IT resources to deliver ‘big picture’ insights in real-time.

  • Flexible cloud-based or on-premise models
  • Serves as a foundation for the integration of third-party applications that require accurate and reusable data to power evidence-driven imaging and business use cases across the enterprise.
  • Highly scalable and performant, able to process millions of text-based reports daily on a single server instance
  • Secure and HIPAA-compliant
Learn more about the DImax Data Engine
Hassle Free Interoperability
Portrait Of Multi-Cultural Medical Team Standing In Hospital Corridor

Closed Loop Follow-Up Exam Management

Using a combination of Natural Language Processing (NLP) and deep learning, Bialogics’ clinical intelligence automatically identifies and tracks actionable follow-up recommendations buried within the unstructured, narrative text of diagnostic imaging reports. This helps leading radiology practices to:

  • Improve clinical outcomes for patients by avoiding missed exams and delayed treatments
  • Reduce medicolegal risk for providers by avoiding delayed or missed diagnoses
  • Facilitate closed-loop communication between radiologists and referring physicians to ensure timely and accurate follow-ups
  • Capture additional revenue associated with improved follow-up adherence
Learn More about the Follow-Up Management

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