Software Developed to Improve the Quality of Image-Based Diagnostics and Ease Radiologist Workloads
By MedImaging International staff writers
Posted on 10 Jan 2011
A new software solution integrates data from diverse multiple sources and provides better patient information at the point of care. This speeds up radiologic reporting while lowering errors and cost. The software is designed to improve workflow by automating key steps that are currently performed manually. Posted on 10 Jan 2011
DataPhysics Research, Inc. (San Ramon, CA, USA) has just announced the release of CaseReader; a turnkey software solution to improve the quality of image-based diagnostics and ease the workload of radiologists. The system uses algorithms to create an indexed three-dimensional (3D) volumetric image of the organ or region of interest, providing radiologists with advanced analysis capabilities. CaseReader can also generate an automated, customizable diagnostic report, eliminating the need for a medical transcriptionist to type up the radiologist's dictation and allowing patients to receive reports much more quickly; reducing the estimated the time it takes to complete an exam by 40%.
The workload of radiologists is poised to triple in the next five years due to a number of factors: healthcare reform, which will add an estimated 30 million patients to the US healthcare system; an aging US baby boomer population; developments in technology that result in hundreds or even thousands of image slices per diagnostic scan, and a shortage of radiologists. At the same time, current technique for interpreting 2D multiplanar images, typically based on a slice-by-slice X-ray type of viewing approach, are creating serious medical errors--many of which can be life threatening. Finally, reimbursement is eroding at a rate between 4% - 8% per year.
According to industry and US government reports, the healthcare imaging market in the United States alone is US$250 billion. The medical transcription market is $8 billion dollars. The potential global market for CaseReader is $3 billion. CaseReader's ability to electronically map, encode, and orchestrate binary image data enables radiologists to more fully utilize advanced digital imaging capabilities. This core technology automates current manual key tasks within today's image review and reporting workflow process, which provides excellent patient information at the radiologists' point of need. Ultimately, CaseReader's turnkey approach should greatly improve patient care, reduce errors and lower exam costs.
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DataPhysics Research