Improving Patient Experiences in Health Insurance Workflows@1x

Improving Patient Experiences in Health Insurance Workflows – with Shane Bray and John Thomas of Uniphore

This interview analysis is sponsored by Uniphore and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

AI for Health Insurance Fraud Detection - Current Applications

AI for Health Insurance Fraud Detection – Current Applications

Health insurance fraud may prove especially pressing due to the opioid epidemic, and thus routing out fraud could be of greater importance in the coming years.

Artificial intelligence in Health Insurance - Current Applications and Trends

Artificial intelligence in Health Insurance – Current Applications and Trends

Health insurance is a critical component of the healthcare industry with private health insurance expenditures alone estimated at $1.1 billion in 2016, according to the latest data available from the Centers for Medicare and Medicaid Services. This figure represents 34 percent of the 2016 National Health Expenditure at $3.3 trillion.  

The State of IoT in Insurance – Automotive, Home, and Health

The State of IoT in Insurance – Automotive, Home, and Health

Insurers are looking to leverage all of the digital customer data that is now available to them, including one new data source that some of the largest insurance enterprises claim are actively collecting: real-time data streams from the Internet of Things (IoT).

AI for Insurance, Insurance for AI – with Edosa Odaro of Tawuniya@1x-min

AI for Insurance, Insurance for AI – With Edosa Odaro of Tawuniya

AI and machine learning are propelling the insurance sector forward – willingly or unwillingly – while offering organizations the ability to make substantial improvements. The technologies can help to enhance customer service, claims processing, fraud detection, and much more. They also potentially transform underwriting, risk assessment, and personalized pricing.

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.

Solving Scaling Challenges in Healthcare with GenAI – with Sina Bari of iMerit and Milind Salwant of Seimens Healthineers@2x (1)

Solving Scaling Challenges in Healthcare with GenAI – with Sina Bari of iMerit and Milind Sawant of Siemens Healthineers

This interview analysis is sponsored by iMerit Technology was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

The Future of Patient Experiences in Healthcare – with Dr. Nele Jessel of Athenahealth@2x

The Future of Patient Experience in Healthcare – with Dr. Nele Jessel of Athenahealth

The healthcare industry has experienced several changes in recent decades. The Health Insurance Portability and Accountability Act (HIPAA), signed into law in 1996, represents one such change. HIPAA was initially intended to simplify how healthcare is administered. However, the law also contributed to the increased administrative burden for healthcare practitioners. 

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Insurance AI Use-Cases 
and Trends@2x

Insurance Use Cases and Trends – An Executive Guide

Insurers have been long aware of the perfect storm of converging market trends pointing to the permanency of digital disruption and change. Yet, the industry – especially the big players – always seemed to move their collective house further away from the shoreline. 

What Trust Automation Means for Insurance Leaders@2x

What Trust Automation Means for Insurance Leaders – with Christian van Leeuwen of FRISS

COVID-19 did not just bring waves of diseases and contagious variants across the world starting in early 2020 – a tsunami of fraud soon followed the broad sweep of a pandemic that would engulf the global insurance industry.