AI Articles and Analysis in Healthcare services

Driving Patient Access and Decreasing Tech Debt in Healthcare with AI-1-min

Driving Patient Access and Decreasing Tech Debt in Healthcare with AI – with Aaron Chamberlain of Intermountain Health

Headquartered in Salt Lake City, Utah, Intermountain Health is a not-for-profit healthcare system comprised of 385 clinics and 33 hospitals dedicated to creating healthier communities and helping patients thrive. Intermountain Health merged with SCL Health in 2022 and now employs more than 58,000 people. They serve patients in Kansas, Colorado, Utah, Nevada, Wyoming, Idaho, and Montana.

01 – Artificial Intelligence at IQVIA@1x-min

Artificial Intelligence at Dell

Dell Technologies Inc., or simply 'Dell', is a Texas-based multinational technology company. Dell is predominantly known for its personal computing products, particularly its desktops, laptops, and workstations. Gradually, the company branched out into other product and service offerings, including network equipment, software and cloud solutions, and automation services.

Artificial Intelligence at IQVIA@1x-min

Artificial Intelligence at IQVIA

IQVIA is a Fortune 500 health information technology (HIT) and clinical research company that provides advanced analytics, technology solutions, and clinical research services for various healthcare stakeholders. 

AI at athenahealth@2x

Artificial Intelligence at athenahealth

Athenahealth is a private healthcare company specializing in providing network-powered health services and point-of-care mobile apps. The company’s products and services are designed primarily to enhance patient care, improve operational efficiency and streamline administrative processes.

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.

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. 

The Future of Healthcare in Large Language Models@2x-min

The Future of Healthcare in Large Language Models – with Ylan Kazi of Blue Cross

In just the last year, rapid advancements in AI technologies, particularly in natural language processing (NLP), have dramatically impacted virtually every industry. Most recently, large language models (LLMs) have become front and center – driven by the overwhelming popularity of OpenAI's ChatGPT. 

Healthcare AI Use-Cases and Trends – An Executive Brief 950×540

Healthcare AI Use Cases and Trends – An Executive Brief 

Healthcare is an increasingly complex sector of the global economy, and AI is playing an active role in the worldwide evolution of the industry throughout its many disciplines. In a Deloitte study released earlier this year, 85% of respondents among healthcare business leaders said their enterprise was increasing AI spend before 2023.