electronic health records
The data chief is aiming to make veteran data integrated across the agency and its partners.
Secretary McDonough said next steps in the electronic health record program, such as implications for training, are forthcoming.
The agency will begin providing gender confirmation surgery to transgender veterans.
Work on DOD's health care informatics platform continued during COVID-19, including preparations to implement the program in Hawaii and San Antonio.
The modernization and consolidation at Veterans Affairs and DOD appears to be aiding delivery of care, continuity of treatment and overall information security.
Health leaders at DOD and VA are working through transforming processes ahead of the new federal electronic health record.
Veterans Affairs leadership prioritizes pandemic response and considers possible shifts in electronic health record implementation.
Investment in electronic health records has fostered productive collaboration between agencies.
The Indian Health Service is looking at how tools like telehealth and EHRs will impact tribal populations long term.
Health information consolidation is laying groundwork for public health advances
The effort incorporates various successes in tech interoperability and partnerships.
Cerner implementation is encouraging efficiency reforms across both VA centers and community providers.
Integrating emerging technology to safeguard information at the VA.
The agency prioritizes IT developments amid shifts in workforce and health care.
Technical advances are improving customer experience during the COVID-19 pandemic and beyond.
DNA analysis with electronic medical records can improve health outcomes for the U.S. population.
The challenges of the pandemic have only reinforced the importance of using data insights to improve patient care.
Improving patient care through the advancement of precision medicine.
The agency is coupling API development with a focus on human-centered design to lay the groundwork for both current modernization and future initiatives.
Successful AI and machine-learning capacities within health systems require a foundational attention to data quality and the broader care environment.