Amazon Web Services (AWS) has announced Amazon HealthLake, a HIPAA-eligible service that aims to support interoperability standards and further drive the use of big data analytics in...
Data access and industry standards may help leaders eliminate potential bias in healthcare artificial intelligence tools, as well as improve implementation of the technology, according to a report from...
More robust and standardized social determinants of health (SDOH) data will improve SDOH initiatives and patient care, according to providers in Insights by Xtelligent Healthcare Media’s most...
When one considers the healthcare industry, it’s easy to picture the entire ecosystem existing as one massive, cohesive machine – a system seamlessly working to achieve the goals of quality care, lower costs, and improved...
As the healthcare industry continues to seek solutions to track and control the spread of COVID-19, patient matching and data standardization have surfaced as effective responses to the pandemic.
For...
When evaluating COVID-19 data to inform policies, decision-makers should consider five criteria to better understand the spread of the virus in their communities: representativeness, potential...
Artificial intelligence has the potential to help address global health challenges, but stakeholders must promote rapid and equitable data access and establish ethical standards in order to use the...
Genomic data integration at the point of care will require education around implementation and decision-making, as well as industry-wide privacy and security standards, according to an ONC report.
The...
The Office of the National Coordinator (ONC) is working to standardize the collection of social determinants of health data to help advance precision medicine and inform new treatments.
Information...
Clinical data should be treated as a public good when used for research or artificial intelligence algorithm development, so long as patients’ privacy is protected, according to a report from the...
As the volume of healthcare data increases and the shift to value-based care accelerates, clinical decision support tools are becoming more and more critical to ensure quality care delivery.
From...
ONC is working to advance precision medicine research by supporting projects that improve health data standards, adopting policies that support data security and privacy, and promoting data sharing...
Across the healthcare landscape, it is now widely understood that the social determinants of health (SDOH) have a major impact on health outcomes, care quality, and medical costs.
An...
Hospitals and health information exchanges (HIEs) still struggle with patient matching issues, with many citing data quality problems and poor algorithms as top barriers to patient matching, according...
Machine learning algorithms have the potential to accelerate and refine the drug development process, but the industry should expand data access and create consistent data standards to ensure drug...
Ethical use of artificial intelligence in radiology will require stakeholders to carefully consider how they use data, as well as how they develop and operate decision-making tools, according to a...
