AI to Reshape Indian Healthcare: FICCI-KPMG in India report Charts Strategic Roadmap - APN News
- Bias Rating
- Reliability
30% ReliableAverage
- Policy Leaning
-66% Medium Left
- Politician Portrayal
N/A
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Bias Score Analysis
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
36% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
62% : " Future healthcare success demands a new level of cross-functional collaboration across healthcare care settings and healthcare workforce.60% : AI in Patient Onboarding & Engagement: Multilingual chatbots, automated scheduling, and tailored care journeys.
60% : AI in Public Health: Real-time disease surveillance, climate-sensitive forecasting, and population health management.
56% : J P Nadda - Hon'ble Union Minister of Health & Family Welfare and Chemicals & Fertilisers Government of India, in the presence of other eminent dignitaries.
*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.
