Investors got rich looting needy hospitals. Patients paid the price.
- Bias Rating
-42% Medium Liberal
- Reliability
90% ReliableExcellent
- Policy Leaning
-2% Center
- Politician Portrayal
8% 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
-4% Negative
- 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:
64% : Hospitals in rural and underserved communities have always been a tough business, for the simple reason that they serve more patients who are uninsured or who rely on Medicaid, which reimburses at a fraction of the rate of commercial insurance.60% : Second, the passage of the Affordable Care Act in 2010 added to the gold-rush mentality by promising to dramatically expand the number of Americans with insurance, thereby improving hospital margins.
53% : In return for state approval, Steward promised it wouldn't add any debt to the hospitals for the purpose of paying Cerberus a dividend or distribution for three years.
51% : Obamacare didn't wind up providing the expected infusion of cash, and the government has continued to slash Medicaid reimbursements.
51% : It all began in 2010, when Cerberus acquired a struggling nonprofit hospital system and rebranded it as for-profit Steward Health Care.
37% : "State regulators were suspicious of the deal.
*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.