Put American patients first and drain the health-care behemoth's...
- Bias Rating
4% Center
- Reliability
25% ReliablePoor
- Policy Leaning
-2% Center
- Politician Portrayal
58% Negative
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
3% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
59% : We hope, too, that Trump will make consumers more health-cost-conscious by expanding health savings accounts and high-deductible insurance policies so that patients have an incentive to shop around and find the lowest-cost alternatives.58% : That's a big reason why Trump created the now-famous Department of Government Efficiency.
55% : In addition to signing executive orders on health-care price transparency and improved quality and efficiency of care, Trump laid the groundwork via congressional and agency policies, including the 2019 Hospital Price Transparency Rule.
54% : This philosophy of transparency as a lever to push lower prices and higher-quality care is one that Trump prioritized during his first term.
54% : But now, with a united Congress behind him and DOGE committed to bringing more efficiency to our government, Trump has the rare opportunity to restore and advance his first-term transparency policies.
46% : Increased transparency in health-care prices, bills and claims would reduce federal spending by nearly $1 trillion a year, according to some estimates.
24% : At long last, President Trump is poised to slash government spending and aggressive regulations -- and advance his first-term health-spending policies that were obstructed by Congress or overturned by the Biden administration.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.