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6 things that could help advance AI adoption in radiology
Artificial Intelligence (AI) is at an inflection point, and radiology will need to address six critical components to move into the mainstream.
Finding reliable evidence-based answers during an infodemic
Scientific evidence about COVID-19 keeps growing and changing, and clinical decision support software solutions can help clinicians keep pace.
How 3D surgical model printing can help improve insights from medical imaging data
As healthcare providers adopt 3D printing of surgical models, clinical team members can see value ...
6 considerations for value-based contracting for medications
Payments for medications have traditionally been based on volume. As healthcare increasingly shifts ...
Research reveals practice patterns in precision oncology
A new study of a cohort of Veterans Health Affairs (VHA) oncology patients illustrates complexity of clinician decision making around targeted therapies in a fast-moving field
Q&A: Interoperability and COVID-19, Part 1
How the pandemic response intersects with interoperability and requires healthcare providers to decide if they will defer or double-down on interoperability efforts.
Missed findings: One symptom of burnout in radiology
How artificial intelligence (AI) can potentially identify high-value findings and help ease the burden for radiologists
How sensitive are healthcare consumers to changes in price?
For healthcare providers, data-driven insights about consumer opinions and behaviors can help shape better pricing strategies for their markets. New data shows that two out of three people say they would switch providers to save money.
These patients are hard to treat
The surprising lack of results from a recent New England Journal of Medicine study offers a cautionary tale about how difficult it is to improve patients’ care and reduce costs.
Weighing the evidence: Building trusted clinical support content
When it comes to clinical decision support (CDS), content is king. Healthcare providers need to know...