Posted 1st February 2017 by Jane Williams
Keith Kaplan is well known in the digital pathology circuit. A practising pathologist and author of the Digital Pathology Blog, he describes himself as an evangelist for the technology. We sat down with him at the Digital Pathology Congress, where he chaired a panel discussion, to get his thoughts.
Posted 14th December 2016 by Jane Williams
The advances made in the use of digital pathology are undeniable. Its numerous benefits, including increased workflow efficiency, reduction in costs and improved decision making, are opening the door to better communication between patient and pathologist. This is resulting in enhanced patient care – the end goal for all pathologists.
Posted 2nd December 2016 by Jane Williams
The World Alliance for Patient Safety has identified poor test result management as a high priority patient safety area. Evidence-based reviews have shown that pathology and imaging test results fail to be followed up in 20% to 62% of inpatients, and in up to 75% of patients treated in an emergency department . Poor test result follow-up can have major consequences for quality of care, including missed diagnoses and sub-optimal patient outcomes.
Posted 19th October 2016 by Jane Williams
We recently formed a working group at Cedars-Sinai Medical Center in Los Angeles that integrates the research areas of molecular pathology, computational biology and digital image analysis under one umbrella and in one location.
Posted 3rd October 2016 by Jane Williams
Clinical pathology has reached a critical cross-roads. Where the pathology service operates within a competitive funding arrangement, such as in Australia, consolidation proceeds apace. In large part this consolidation is driven by both revenue and cost pressures. This results in a highly efficient factory-and-logistics model for laboratory operations – but with inevitable consequences for professionals and consumers alike.
Posted 30th September 2016 by Jane Williams
The digitization of tissue glass slides is clearly opening up exciting opportunities as well as challenges to the world of computational imaging scientists. It is clear that while computational imaging can clearly play a role in better quantitative characterization of disease and precision medicine, there still remain a number of substantial technical and computational challenges that need to be overcome before computer assisted image analysis of digital pathology can become part of the routine clinical diagnostic workflow.