NIH

The COVID-19 pandemic increased the need for data sharing and security as agencies quickly pivoted to remote environments, and health officials say information sharing will remain a critical component in federal health care after the pandemic.

Cloud adoption is accelerating research capabilities and mission needs at the National Institutes of Health, the institutes' Center for Information Technology Director and CIO Andrea Norris said at the SXSW conference this week.

• Health care

The office’s director explains how it has leveraged new practices to quickly review and approve treatments amid the COVID-19 pandemic.

• Health care

The nearly quarter increase in funding would largely go toward strengthening public health preparedness.

The National Institutes of Health is integrating artificial intelligence and machine learning to tackle inequalities across the health care system and advance medical research.

• Artificial Intelligence
• Data
• Health IT

Medical data experts argue for components behind ethical AI and data use.

• Artificial Intelligence

The program is providing opportunities for innovators to bring transformational processes and emerging technology to government agencies.

• Artificial Intelligence
• Data

NCCIH outlines the potential Brain2AI has for biomedical and behavioral research.

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.

Emerging data and technology drives new health recommendations to address disease and preventive services.

• 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.