The central promise of precision medicine is to provide right-sized and personalized care, patient by patient, instead of hewing to a singular clinical pathway for all patients who have a particular ...
In this excerpt from the new book 'Speak Data,' the Wharton professor and best-selling author shares his thoughts on how we ...
Interview on Ontada research presented at ISPOR 2024. Use of real-world data in research demands that data pulled from electronic health records are accurate. New research from Ontada shows how doing ...
Investment led by UPMC Enterprises, with participation from MemorialCare Innovation Fund, Rex Health Ventures, Tampa General Hospital Ventures, Memorial Hermann Health System, Frist Cressey Ventures, ...
The healthcare collaboration software vendor Apervita announced on Tuesday that it has added Carta Healthcare's AI-powered data abstraction technology to its platform's interoperability layer. The ...
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There is no workload in the datacenter that can’t, in theory and in practice, be supplied as a service from a public cloud. Big Data as a Service, or BDaaS for short, is an emerging category of ...
Automatic Classification of Tumor Response From Radiology Reports With Rule-Based Natural Language Processing Integrated Into the Clinical Oncology Workflow Two independent EHR data abstractions ...
Manual extraction of case details from patient records for cancer surveillance is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the ...
Will there ever be a technology that can fix decades of poor data hygiene? Probably not, but that isn't going to stop technology vendors from trying. The good news: Machine learning may come closest ...