Technology | December 16, 2010

Image Post-Processing Software Helps Speed Review Process

December 16, 2010 – A next-generation intelligent post-processing solution has been introduced that improves how CT, PET-CT and MRI data is organized, managed, analyzed and reported. CaseReader, by DataPhysics Research, was launched at the 2010 Radiological Society of North American (RSNA) meeting in Chicago.

New digital scanning technologies, healthcare reform, and the aging population will further increase the amount of image data radiologists must handle. Furthermore, the number of radiologists is expected to increase by only 7.5 percent in the next five years, while reimbursements are eroding by 5 percent a year.

With its 3-D imaging capability and its radiology informatics tools, CaseReader slashes the time and cost of processing and interpreting image data by up to 50 percent. Referring physicians and patients receive final reports much faster, which improves patient care and assists with future planning and follow-up. Radiologists also receive a number of business benefits, including rapid ROI, reduced total cost of ownership and CAPEX/OPEX, and more.

"By eliminating today's manually intensive slice-by-slice radiology analysis and rapidly delivering comprehensive 3-D diagnostic imaging results, CaseReader is revolutionizing the way radiologists read digital images," said Steve Douglas, CEO of DataPhysics Research.

Because it lays over existing mainstream picture archive communications systems (PACS) and viewing applications, it is the first solution to be entirely within the radiologist's workflow. Users do not need to learn a new user interface or substantially change their current workflow and applications. The company is collaborating with leading imaging PACS OEMs to embed it in their systems as part of a comprehensive solution to today's market challenges.

The product is based on the following three core technologies:
Augmentor. The Augmentor captures and consolidates detailed patient information from multiple sources such as the ordering report and the patient's prior medical history, digitizes it, and makes it available for the radiologist to review.

Anatomy Image Dashboard (AID). The AID creates a computerized, scalable, 3-D electronic map of anatomical elements, constructed from 2-D slices generated by CT, PET-CT and MRI systems. Image data can be displayed in axial image formats and also in sagittal and coronal multiplanar reconstructions. As each 2-D slice is viewed, the corresponding 3-D image is displayed simultaneously, saving time and effort in post-processing. Radiologists can manipulate the 3-D images in all three planes of freedom for optimal, rapid viewing of regions of interest.

Active Report (AR). The automated AR shrinks report size, reduces errors and maximizes reimbursement levels by customizing reports to the referring physician's specifications. Observation templates tied to CPT codes ensure that all required anatomy-specific impressions are completed and notated. Embedded 2-D and 3-D images help communicate results to referring physicians and patients, and thus help improve patient care. A checklist ensures that all reimbursable items are included in the final report. The report is conceived as the radiologist reads the exam, resulting in a clearer report and faster turnaround time.

Because the company employs a hybrid SaaS model, the product is provided free of charge. It requires no upfront investment or expensive license fees. A fee is generated only when a radiologist uses the software for a study. This model allows users to reduce their operating expenses by eliminating expensive licensing agreements with advanced imaging vendors. CaseReader is in beta and will be commercially available in Q1 2011.

For more information visit www.dpresearch.com.

Related Content

The Candelis ImageGrid Plus PACS Server is an ultra-high-performance platform that can support high volume healthcare environments of 1,000 plus modalities
News | PACS | February 12, 2020
February 12, 2020 — The Candelis ImageGrid Plus...
PaxeraHealth enterprise imaging, PACS, VNA solutions
News | Enterprise Imaging | February 11, 2020
February 11, 2020 — Enterprise Imaging developer PaxeraHealth
An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019.

An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019. Photo by Dave Fornell.

Feature | Artificial Intelligence | February 07, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | February 02, 2020 | Steve Holloway
The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven debate over the future
RSNA 2019

RSNA 2019

Feature | Radiology Imaging | January 31, 2020 | By Greg Freiherr
The founder of Gonzo journalism thought
Konica Minolta Business Solutions, U.S.A., Inc. (Konica Minolta) announced its status as a Google Cloud Premier Partner.
News | Archive Cloud Storage | January 14, 2020
January 14, 2020 — ...
News | Remote Viewing Systems | December 27, 2019
December 27, 2019 — The Radiological Society of North America (RSNA) and Carequality have developed the Imaging Data
Blackford, the centralized medical imaging platform, today announced that it had signed a multi-year agreement with IBM to integrate the Blackford Registration into IBM’s AI-ready workflow platform, Merge PACS
News | PACS | November 25, 2019
November 25, 2019 — Blackford, the centralized medica
Infinitt PACS 7.0 is a faster, more powerful viewer that was built from the ground up to support AI for image analysis and for operational/ workflow improvements in radiology
News | PACS | November 19, 2019
November 19, 2019 — Infinitt North America will be highlighting a next generation,...
RamSoft has been a proponent of the cloud since over a decade; the reason – patient data protection
News | Information Technology | November 18, 2019
November 18, 2019 — A recent report by security firm Emsisoft stated that