In the age of AI, healthcare needs more serious readers.
A generated summary can repeat a conclusion. A serious reading asks how the study was designed,
what was measured, which assumptions matter, who is affected, and what should be studied next.
UpEvidence is our place for that work.
Articles
These studies were conducted by the cited researchers. FastHSR provides independent explanations, not reports of research performed by FastHSR.
Family-linked claims
Testing Family Confounding with Linked Claims and Sibling Comparisons
Compare population estimates with within-family sibling comparisons to test how shared family factors affect interpretation.
Independent published methods example
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Medicare diagnostic safety
Screening Claims for Emergency Diagnostic-Safety Review
Link emergency discharges to later admissions to prioritize clinical review without treating a claims signal as a confirmed error.
Independent published methods example
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Medicare Part D
Tracking Part D Prices Around Generic Entry
Follow drug markets around generic entry while keeping retail prices, confidential rebates, and net spending distinct.
Independent published methods example
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Claims spending
Separating Claims Spending Growth into Price, Volume, and Mix
Separate medical spending growth into price, service volume, and residual mix, with explicit enrollment and accounting boundaries.
Independent published methods example
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Medicare Advantage
Benchmarking MA Utilization by Individual Service
Compare individual service counts across payment arrangements while accounting for patient mix and encounter completeness.
Independent published methods example
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AI and healthcare spending
Where AI Can Take Cost Out of Health Care
Explore estimated AI savings for hospitals, physician practices, and private insurers by
operating domain and administrative versus medical expense.
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