Radiology

The DImax platform for Radiology collects data from HIS, RIS, PACS, EHR, and financial systems to deliver 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
• Develop evidence-driven protocols for imaging appropriateness to support Choosing Wisely/CMS AUC/PAMA

Cardiology

The 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

Quality Assurance

The 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)

Research

The DxPro platform uses advanced NLP designed specifically for medical text analysis to create structured data from the unstructured text within radiology, cardiology, and pathology orders and 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.

Beyond Natural Language Processing to Medical Language Understanding

DxPro platform leverages NLP and deep learning to deliver Medical Language Understanding. MLU goes beyond identifying terms within medical text to understanding the relevance and relationships that exist within and between structured and unstructured EHR records and medical imaging orders, and reports.

• 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 segmen
• Extract and codify medical entities using standard and custom ontologies (e.g. RadLex, SNOMED, RxNorm, etc.)
• Intelligently search for diagnoses within a single patient’s chart or from an entire patient population of EMR records

Hassle-Free Interoperability

PresiNET 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 PresiNET 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

Image Management

Our Image Management module seamlessly integrates the raw data from RIS, PACS, and EMRs into actionable information to support practice decisions, identify new strategies, and assess operational efficiency. DICOM, HL7, and XML messaging can all be captured by our unique data engine, allowing data to be normalized and presented on one common platform.

DImax Image Management Advantages:

• Boost the understanding of imaging demand
• More accurately identify the source of imaging
• Obtain richer, detailed patient reporting
• Improve patient experience
• Manage staff resources better
• Improve day-to-day operations

Practice Management

With the Practice Management module, it is possible to gain deeper insight into the flow of referrals and procedures to better manage both patients and resources in your rapidly changing environment.

DImax Practice Management Advantages:

• Understand better where referrals are coming from
• Have a better grasp of what types of studies are being ordered
• Clearly track the insurance status of patients
• Better align your services with Service Level Agreement requirements
• Respond quicker to meet market demands
• Visualize data sets in real-time and compare with historic views

Procedure Management

The Procedure Management module provides a way to retrieve detailed information about the efficiency of the modality imaging process; the result is an improved procedural framework that reduces downtime and improves patient planning and workflow.

DImax Procedure Management Advantages:

• Compare activity, drilled down to each imaging process step
• View activity by variables such technologist, procedure, and modality
• Identify trends to improve best practices
• Gain valuable insight for procedural planning
• Visualize asset use for better resource allocation

Workflow Management

Our Workflow Management module delivers valuable insight that enables the understanding of patient workflow from arrival to exam reporting. By gaining valuable insights into each step of the process, the patient experience is enhanced while successfully reducing turnaround times.

DImax Workflow Management Advantages:

• Track performance of the entire procedure from exam order to report distribution
• Record data from DICOM headers and HL7 messages and measure against benchmarked parameters
• Identify issues leading to delays and process failures
• Highlight performance gaps and opportunities
• Optimize patient workflow to deliver better TATs

ED Imaging

The Emergency Department Imaging module helps to solve Emergency Department bottlenecks by providing analytics that help to optimize resources and enhance planning, ultimately improving “treat to street” cycle times.

DImax ED Imaging Advantages:

• Dissect information based on procedure and modality
• Identify supply and demand (peak and low demand) trends to reduce mismatches
• Obtain in-depth analyses of radiology workflow
• Generate turnaround time reports with historical comparisons
• Track patient visit data from inpatient to outpatient status

Data Science Analysis

PresiNETs DImax is capable of patient-centric research with the use of Natural Language Processing (NLP) in order to facilitate greater research on free text variables contained within the radiologist report.

DImax Data Science Analysis Advantages:

• Clinical report analysis
• Patient-centric search functions
• Multi-filtered clinical search criteria