Analyze areas of interest to improve clinical and financial performance
RadCube allows you to expose untapped information inherent in years of clinical data. You can further explore your information from various business, clinical and research perspectives or identify trends, opportunities and potential issues quickly with familiar visualization techniques. You can analyze all operational aspects of your business including:
Measure radiologist and technologist productivity based on such factors as exam volume, modality, anatomy, location, and RVU’s (technical and professional). Generate metrics for speech recognition vs. transcription savings and modality usage patterns.
Compare finding and follow-up recommendation rates for radiologist and subspecialty groups. Analyze report consistency and length combined with macro usage, dictation patterns and custom data entry.
Compare physicians against each other for ordering, positive rates and decision support appropriateness ratings (available via RadPort). Monitor the effects of education on appropriateness ratings and evaluate based upon modality, anatomy or exams for appropriateness and trends.
Calculate report turn-around, from scheduled all the way through final status. Analyze turnaround based on radiologist, division, modality, location, time of day, patient class and report findings. Determine which locations within your department have room for improvement.
Conduct population analytics and clinical data mining of evidence-based radiology for continuous improvement. Determine pathology/disease states and clinical outcomes based on positive findings and recommendations. Analyze indications (available via RadPort) and compare them against patient populations (age, gender, zipcode, etc) and cohorts.
Advanced Data Mining Techniques
Perform Bayesian analysis. Examine neural networks and associative correlations between any number of data elements.
Trending and Forecasting
Analyze historic trends and predict future events. Determine the impact of additional modalities, radiologists and imaging center throughput on your practice. Analyze high-tech vs. low-tech ordering trends and referring physician volumes.
Compare available metrics to industry standards and like peers via consulting partners.
Lexicon Mediated Entropy Reduction
Lexicon Mediated Entropy Reduction, or LEXIMER, is a patented Natural Language Processing (NLP) engine designed for the medical imaging domain. LEXIMER provides data mining algorithms which extract structure, classifying unstructured radiology report text in real time as well as via batch processing. The resulting structured documentation is currently being utilized in the RadCube application for outcomes and data analysis.
How does it work?
Data passes through a number of stages in the LEXIMER process, including: phrase isolation, noise reduction, signal extraction and signal classification. Each stage plays a fundamental role in preparing the data for analysis.
- Phrase Isolation — includes scanning the report text and separating the content into phrases
- Noise Reduction — decreases the amount of non-clinically relevant information contained within the report
- Signal Extraction — pulls out the positive statements and recommendations from the clinically relevant phrases
- Signal Classification — organizes the extracted data and presents the information in a structured brief that translates to SNOMED for use in analytical calculations
Through the use of this powerful structuring and classification engine, institutions are better able to analyze and interpret extensive data archives.
Application of Recently Developed Computer Algorithm for Automatic Classification of Unstructured Radiology Reports: Validation Study
- Purpose — To validate the accuracy of Lexicon Mediated Entropy Reduction (LEXIMER), a new information theory-based computer algorithm developed by the authors for independent analysis and classification of unstructured radiology reports based on the presence of clinically important findings (FT, where T represents "true") and recommendations for subsequent action (RT).
- Conclusion — LEXIMER is an accurate automated engine for evaluating the percentage positivity of clinically important findings and rates of recommendation for subsequent action in unstructured radiology reports.
Frequently Asked Questions
Q: Does RadCube™ impact my production environment?
A: RadCube™ allows your department to perform analysis anytime of day. Traditional reporting solutions rely on production systems and pull data as calculations are performed. Thus, most reporting is performed off-hours to avoid latency of running queries and the impact on the production environment. With RadCube™, all data is warehoused nightly on a separate server and routine calculations may be performed anytime and anywhere on the hospital network. RadCube puts fast, reliable results within your reach when you need it most.
Q: Does RadCube™ require our staff to learn a new programming language?
A: Traditionally, data mining and data analysis have been restricted to the most skilled programmers within an organization. RadCube™ eliminates the need to possess programming knowledge by offering a familiar drag-and-drop interface that anyone can learn. No database experience is required so any user can start tracking information and creating reports to make more informed decisions. More informed users’ means greater departmental efficiencies at all levels.
Q: Does RadCube™ provide “drill-down” capabilities?
A: In addition to a robust report authoring platform, RadCube™ ships with a web-based report viewer that allows users to share results with anyone on the hospital network. Publish projects to Microsoft® PowerPoint, Microsoft® Excel, XML or to your local website for report results distribution.
Q: How flexible is the reporting available with RadCube?
A: Conducting analysis with legacy reporting applications is often limited to pre-defined report formats and data elements. With RadCube, structured interpretation data allows your department to easily pull information needed when submitting for clinical trials, government grants, and quality bonus programs. For the first time, you can build reports based on interpretation specific data to analyze reporting variance and pinpoint areas for improvement.
Q: Is RadCube scalable?
A: Rest assured that as your practice expands, RadCube™ will scale to meet the growing demands of your organization. RadCube can warehouse decade’s worth of radiology data and accommodates even the most demanding volume of concurrent users. RadCube supports adding more data and additional users without a significant impact on speed or performance.
Q: How does RadCube integrate with other systems?
A: Data accessibility is a fundamental part of all business intelligence projects. With RadCube, data migration is simplified via a standard HL7 feed from your RIS or speech recognition reporting system (PowerScribe or RadWhere). What’s more, RadCube integrates with Nuance’s integrated clinical decision support application, RadPort, to provide imaging utilization metrics and decision support appropriateness scores.