Quest Diagnostics commissioned a feasibility study in conjunction with Proscia and Ibex Medical Analytics in order to quantify the value of digital pathology and artificial intelligence workflows in a real-world diagnostic laboratory. Pathology in Practice presents an extract of the report.
Digital pathology (DP) shifts the diagnostic process from microscope to whole-slide image, unlocking insights previously unseen by the human eye to realise the promise of precision medicine. It also drives powerful efficiency gains that are helping laboratories to overcome a range of systemic challenges.
Diagnostic artificial intelligence (AI) tools can be embedded into DP workflows. Numerous studies have demonstrated AI’s potential to improve diagnostic accuracy, save time, and support pathologists in their decision making, for example, by performing sophisticated image analysis and computer-aided diagnosis.1 DP and AI technologies have enormous potential to impact the pathologists’ experience and overall job satisfaction, while delivering economic and operational returns.
To meet growing demand, Quest collaborated with Proscia, an industry-leading enterprise digital pathology platform provider, and Ibex Medical Analytics (Ibex), a leading provider of AI-powered diagnostics for pathology, to run a feasibility study of their networked pathology solution in one of its laboratories. Quest wanted to translate the general findings of the study to understand how these technologies impact laboratory operations and their effects in a large diagnostic laboratory setting.
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