Fairness in clinical algorithms is key to mitigating race-based health inequity. Are efforts driven by AI and machine learning up to the task? - https://bit.ly/4bE71OW
HealthITAnalytics
Online Audio and Video Media
Danvers, Massachusetts 210 followers
Helping Providers Turn Data into Improved Outcomes
About us
By connecting with subject-matter experts from the nation’s top providers, the editors at HealthITAnalytics feature real use cases in data analytics that improve the health of individuals and populations and the cost of providing care.
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https://healthitanalytics.com/
External link for HealthITAnalytics
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- Online Audio and Video Media
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- Danvers, Massachusetts
Updates
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Race is often included as a biological construct in clinical guidance, but experts assert that its use must be reexamined to promote health equity. - https://bit.ly/3Leuprq
Reassessing the use of race in clinical algorithms | TechTarget
techtarget.com
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A 3D residual convolutional network analysis revealed that COVID-19 patients experienced significant deformities to the mediastinal and basal surfaces of the lungs. - https://bit.ly/3XCKQFp
Deep learning links lung shape differences and COVID-19 severity
healthitanalytics.com
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A machine learning-based approach could flag individuals at high risk for lung cancer by analyzing DNA fragments found in blood, which may improve screening uptake. - https://bit.ly/3RCqfNI
Machine learning-driven liquid biopsy identifies lung cancer risk
healthitanalytics.com
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Electronic phenotyping has significant potential to drive EHR-based data mining and clinical research, but patient privacy remains a major concern. - https://bit.ly/3z3LIIR
Investigating electronic phenotyping's role in clinical analytics
healthitanalytics.com
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Six new data dashboards will track cancer, care access and SDOH across South Carolina’s 46 counties in an effort to advance population health. - https://bit.ly/4aVHxfn
South Carolina gains web-based tool for population health surveillance
healthitanalytics.com
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Synthetic data is touted as a privacy-preserving alternative to the use of real-world patient information in healthcare analytics. - https://bit.ly/3Rfs175
Weighing the pros and cons of synthetic healthcare data use
healthitanalytics.com
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Deloitte’s 2024 consumer healthcare survey found that adoption of GenAI for health reasons has progressed little in the last year due to consumers’ distrust. - https://bit.ly/4e4qXNr
Deloitte: healthcare consumers' trust in generative AI has room to grow
healthitanalytics.com
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New research shows that changes in muscle mass and fat quality during immunotherapy treatment are linked to poor outcomes in metastatic lung cancer. - https://bit.ly/3yHWx33
AI reveals association between body composition, lung cancer outcomes
healthitanalytics.com
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Medical ethicists posit that there is no one-size-fits-all definition of fairness for healthcare AI, necessitating a more nuanced, collaborative approach. - https://bit.ly/3X0ZdmI
Overcoming struggles to define algorithmic fairness in healthcare
healthitanalytics.com