Patient optimization focused on absolute risk empowers surgeons
NEW ORLEANS — According to a presenter, surgeons should consider absolute risk for impactful optimization of surgical candidates vs. relative risk and hazard ratios, which lead to...
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NEW ORLEANS — According to a presenter, surgeons should consider absolute risk for impactful optimization of surgical candidates vs. relative risk and hazard ratios, which lead to...
Background: Nowadays, lung cancer has a significantly high incidence rate worldwide. The mortality rate of lung cancer continues to rise; it is more common in middle-aged and older...
A practical guide to categorization in credit scoring The post From Raw Data to Risk Classes appeared first on Towards Data Science.
Population Health Has a Precision Problem Population health programs continue to rely on blunt tools. Many risk stratification approaches emphasize historical utilization—basic ris...
Risk-stratified targets and a six-step playbook for choosing, combining, and escalating lipid-lowering therapy The post Reducing cardiovascular risk: a playbook for lipid-lowering...
Climate shocks, geopolitical disruption and supply chain dependencies are exposing gaps in how organisations assess extreme risk
Not every normotensive PE patient is truly low risk. sPESI helps identify patients who may be safe for outpatient management, while Bova helps recognize patients at risk for early...
Same technology. Same use case. But they were asking questions most buyers never think to ask. That gap is worth examining.
A growing body of research shows that diabetes can be stratified into five different subgroups. Researchers at Lund University have now investigated whether a person's genetic pred...
CEO on company’s new two-division operating model
The government can simply authorise a localised software pilot across 100 digitised PACS to validate the risk-reduction model over a single crop cycle
The government can simply authorise a localised software pilot across 100 digitised PACS to validate the risk-reduction model over a single crop cycle
To truly drive safety at scale, healthcare organizations will have to look beyond just adverse events and better leverage insights from one of the most valuable, but often underuti...
New B-59 data shows circulating tumor DNA (ctDNA) and molecular residual disease (MRD) testing can better predict recurrence risk and help guide more personalized care in TNBC.
In a groundbreaking development poised to reshape the management of hypertrophic cardiomyopathy (HCM), researchers supported by the National Institutes of Health (NIH) have unveile...
What Is a Risk Assessment and How to Conduct One?1. What Is a Risk Assessment?A risk assessment is a structured process used to identify workplace hazards, evaluate the level of r...
Objectives Monitoring kidney function after acute kidney injury (AKI) hospitalisation is essential for identifying patients at risk of rapid progression. This study developed a mac...
Background: Accurate preoperative prediction of renal tumor malignancy is critical for guiding decisions and reducing overtreatment, as a substantial proportion of renal masses pro...
With 10,000 professionals in Philadelphia, the awards landed in a "structurally more volatile" year
Background: Computed tomography pulmonary angiography (CTPA) is the standard imaging modality for diagnosing pulmonary embolism (PE), but diagnostic uncertainty is common due to te...
Agile has transformed software delivery by optimizing for speed, adaptability, and customer value. Teams track velocity, monitor burndown charts, and celebrate incremental releases...
Bunkerhill Health executives offered a deeper look at the process for securing a CMS reimbursement pathway for AI-enabled cardiovascular analysis.
Why resilience depends less on controls and more on how competing cultures interact under pressure
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