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Why Hospitals Need Big Data to Improve Patient Experience

In this special guest feature, Senem Guney, PhD, CPXP, Founder and Chief Experience Officer at NarrativeDx, discusses why hospitals need big data to improve patient experience. Hospital administrators seeking to provide excellent patient experiences need to understand responding to patients as a big data problem and arm themselves with the necessary technology solutions.

Proscia to Transform the Clinical Use of Digital Pathology in Commercial and Hospital Labs

Proscia Inc., a data solutions provider for digital pathology, announced the launch of a new product optimized for digital clinical workflows in anatomic pathology labs. Built from its award-winning software platform, Proscia’s new offering leverages machine learning and artificial intelligence (AI) techniques, leading the move towards precision medicine and computational pathology.

Oxford Research Validates EarlySign’s AI Platform for Identifying Risk of Colorectal Cancer

Medial EarlySign, a developer of machine learning tools for data-driven medicine, announced the results of new research with Oxford University. The study provides further validation for Medial EarlySign’s ColonFlagTM algorithm platform to identify individuals at risk of having colorectal cancer and support other approaches to early detection, including screening and active case finding.

Why Healthcare May Be the Hottest Industry Sector for Data Analysts in 2018

In this contributed article, freelance human Avery Phillips discusses how if you’re a data analyst in search of a secure industry on which to hang your hat, rather than heading to Silicon Valley to join (or begin) a startup, you might consider pursuing work with a local hospital or public health clinic.

Catching the Gorilla: Applying Machine Learning to Electronic Health Records

In this special guest feature, Ori Geva, Co-Founder and CEO of Medial EarlySign, discusses how the ue of machine learning can help create new opportunities for earlier intervention and delivery of improved, personalized care by allowing physicians and health systems to increase their scope of attention.

Sibyl Launches To Increase Utilization And Cut Impact of Costly Patient No-Shows

The founders of macro-eyes, a machine learning company that simplifies personalized patient care, announced the introduction of Sibyl, a predictive scheduling solution that cuts the financial and operational damage from patient No-Shows without relying on patient behavior change.

Identifying Health Risks Using Pattern Recognition and AI

Physicians are increasingly using AI technologies to treat patients with superhuman speed and performance, and predictive analytics will be key to delivering more effective, proactive, and quality care. Stephen Wheat, Director of HPC Pursuits at Hewlett Packard Enterprise, explores how we can identify health risks using pattern recognition and AI. 

The Promise of IoT-Connected Healthcare: a Diabetic Emergency

In this contributed article, Brendan O’Brien, co-founder and chief innovation officer of Aria Systems, considers a hypothetical type 2 diabetic emergency as an example of the importance of an Internet of Things (IoT) connected “lifesaver” sensor.

How Big Data Can Help HIPAA-Dependent Industries

In this contributed article, technology writer and blogger Kayla Matthews looks at big data’s role with HIPAA, or the Health Insurance Portability and Accountability Act, and provides four of the many ways industries and the organizations within them could benefit from big data or already do.

Intel AI Lounge – Bryce Olson, Global Marketing Director, Health and Life Sciences at Intel

In this Silicon Angle video interview, Bryce Olson, Intel Global Marketing Director, Health and Life Sciences and stage 4 cancer survivor, set out to find better treatment for his illness through technology. By using AI to sift through his DNA data, he is now in remission.