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Innovation in Data Management Accelerating Neuroscience, Virtual Reality, and Early Cancer Diagnosis

A research company using Artificial Intelligence (AI) in the fight against cancer. An animation studio creating films and virtual reality (VR) amusement parks. A team of scientists deepening our understanding of the human brain. All struggled to manage massive amounts of unstructured data, until they turned to Seattle-based Igneous – the leader in Unstructured Data Management (UDM) – and its as-a-Service, high-performance data management solution.

The Future of EHRs, Big Data, and Patient Privacy

In this contributed article, freelance human Avery Phillips suggests that the volume and quality of patients records being transferred online is awesome in the original sense of the word. However, it also presents an ever-growing security risk, and standards will need to be held, with security researchers rising to the challenge of keeping the information as secure as possible and ensure companies maintain compliance with HIPAA.

How AI Technologies Will Create More Doctor-Patient Face-time

In this special guest feature Anand Shroff, Co-founder and Chief Development Officer at Health Fidelity, discusses the reality that AI technologies can create opportunity for meaningful, productive patient-provider interactions, primarily by reducing administrative burden, and provides three examples.

The Use of NLP to Extract Unstructured Medical Data From Text

In this contributed article, Luke Potgieter, tech advisor for John Snow Labs, discusses the important of NLP for the healthcare industry, and offers two common AI-in-healthcare use cases. NLP is a very useful and important tool for use in AI in dealing with unstructured data.

8 Ways 8 Billion Data Points Can Lower Diabetes Costs

In this contributed article, David Conn, Chief Commercial Officer at Glooko, discusses how dealing with diabetes requires data, and how data science provides deep access to key aspects of chronic disease progression and treatment. Insights created by the data collected is key to improving overall care and avoiding risk in diabetes management.

Big Data and the Opioid Crisis

In this contributed article, freelance human Avery Phillips takes a look at the opioid crisis and how two major components of big data can help find a solution including patient behavioral analysis, and also prescription/outcome tracking.

When Data Quality meets Context, Health Wearables Find Their Power

In this special guest feature, Jiang Li, CEO of VivaLNK, offers three key considerations when it comes to remote patient monitoring (RPM) and the Internet of Healthcare Things (IoHT); a world where devices remotely and continuous gather meaningful data on the state of our health before, during and after a health event.

AI Will Not Replace Radiologists

In this special guest feature, Elad Walach, CEO of Aidoc, offers four important reasons today’s budding radiologists need not fear AI displacement. Given mounting workloads and the severe shortage of radiologists in the face of rising demand, AI augmentation will be a tremendous boon to the profession—not an existential threat.

Apixio Launches HCC Auditor, AI-Powered Risk Adjustment Auditing Solution

Apixio Inc., the data science company for healthcare, announced availability of the AI-powered solution to help health plans and provider organizations to undertake internal audits of their risk adjustment payment data with increased accuracy and in far less time than traditional methods.

AI for Pharma R&D – Creating Anti-cancer Drugs Faster, Reducing Process from Years to Days

The costs and process of developing anti-cancer drugs has been an extreme challenge for decades. Today one company, AccutarBio, is harnessing the power of AI to accelerate drug discovery and reform the current “hit-to-lead” drug discovery scheme. The company recently received $15 million in funding (including money from Chinese AI/facial recognition company YITU) and is now partnering with Amgen.