AI Articles and Analysis in Healthcare services

Artificial Intelligence at AstraZeneca-1-min

Artificial Intelligence at AstraZeneca

AstraZeneca is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs and vaccines. Its key therapeutic areas include oncology, cardiovascular, renal, metabolism, respiratory, and immunology. In 2022, the company reported revenue of $42.67 billion and a profit of $4.08 billion. The company has a significant global presence, employing around 89,900 people across more than 60 countries as of 2023.

Transforming the Enterprise-Level Customer Experience with AI@1x

Transforming the Enterprise-Level Customer Experience with AI – with Jason Aubee of TechSee

Contact centers play a crucial role in delivering exceptional customer experiences (CX) across industries, both B2c and B2b. As customer expectations elevate, organizations increasingly leverage AI to streamline operations and enhance customer service. According to recent reporting in the MIT Technology Review, enterprises generally deploy AI to transform contact centers, usually taking the form of intelligent virtual assistants to obtain predictive customer insights as well as for dispute and fraud management. 

Easing Patient Pain Points Between Healthcare and Insurance Workflows – v.3-1-min

Easing Patient Pain Points Between Healthcare and Insurance Workflows – with Tom Hayes and Gareth Dabbs of IQVIA

The applications of AI in the healthcare and life sciences industries are vast, with data-powered algorithms and analytics promising to upend the status quo. Applications, including the use of AI to interpret medical imaging, optimize drug discovery and development, analyze large-scale data sets to identify patterns among patient populations, and streamline provider workflows, are already transforming the industry. 

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.