National Institutes of Health

• Artificial Intelligence
• Data
• Health care

HHS shared AI/ML use cases to promote transparency and spur innovation at the annual AFCEA Health IT Summit.

• Workforce

Recent appointments show growing priorities around emerging technologies and maintaining a national strategic edge.

• Artificial Intelligence
• Data
• Electronic Health Records
• Health IT

Public health researchers are developing methods for better detecting and predicting dangerous forms of cancer.

• Artificial Intelligence
• Data

As public sector organizations modernize, leadership ensures sophisticated IT enterprises facilitate data sharing that advances their core missions.

• Electronic Health Records
• Health IT

Integrated EHR systems have shown considerable benefits for advancing both individual patient care and public health.

Federal information technology officials often prioritize better serving their customers’ needs, and creating human-centered design in their products and attribute Agile methodologies as key ways to iterate alongside end users' shifting requirements.

• HealthCast
• Health care

NIDDK Director Dr. Griffin Rodgers talks COVID-19, disparities in health, and top priorities at the institute.

Successful long-term cloud-computing strategies necessitate process reforms and internal training, according to federal agency officials.

Federal health IT leaders are focusing on data, security, emerging technologies and human-centered design as some of their top priorities in the near term.

• HealthCast

Technology and data are helping health researchers personalize care for eating disorders.

Digital clinical trials and technologies — as well as an unprecedented collaboration among industry, government and academia — were some of the most critical components to the rapid development of the Pfizer-BioNTech COVID-19 vaccine.

Data-mining techniques will allow health researchers to sharpen COVID-19 literature and clinical trial database search results.