Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]
Code Context


        trigger_error($message, E_USER_DEPRECATED);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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deprecationWarning - CORE/src/Core/functions.php, line 311
Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421
App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 73
Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51
Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98

Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]
Code Context


        trigger_error($message, E_USER_DEPRECATED);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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deprecationWarning - CORE/src/Core/functions.php, line 311
Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421
App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 74
Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51
Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98

Warning (512): Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853 [CORE/src/Http/ResponseEmitter.php, line 48]
Code Context
            if (Configure::read('debug')) {

                trigger_error($message, E_USER_WARNING);

            } else {
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&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;144 institutions were de-empanelled&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &amp;ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its &lt;a href=&quot;/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf&quot;&gt;reply&lt;/a&gt; to the Parliament in the recently concluded session.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The Ministry added that the National Health Authority (NHA)&amp;mdash;the implementing agency of AB-PMJAY&amp;mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&amp;nbsp;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&amp;nbsp;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&amp;rsquo;&amp;rsquo; said the Ministry.&amp;nbsp;&lt;/p&gt;

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144 institutions were de-empanelled

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&lt;p style=&quot;text-align:justify&quot;&gt;The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&amp;nbsp;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&amp;rsquo;&amp;rsquo; said the Ministry.&amp;nbsp;&lt;/p&gt;

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144 institutions were de-empanelled

Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &amp;ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme...&#039;
$disp = &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;144 institutions were de-empanelled&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &amp;ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its &lt;a href=&quot;/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf&quot; title=&quot;/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf&quot;&gt;reply&lt;/a&gt; to the Parliament in the recently concluded session.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The Ministry added that the National Health Authority (NHA)&amp;mdash;the implementing agency of AB-PMJAY&amp;mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&amp;nbsp;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&amp;nbsp;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&amp;rsquo;&amp;rsquo; said the Ministry.&amp;nbsp;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA&quot; title=&quot;https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA&quot;&gt;click here&lt;/a&gt; to read more.&lt;/p&gt;&#039;
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144 institutions were de-empanelled

Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme..."/>
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                <strong> Hospitals fined for fake Ayushman Bharat claims -Bindu Shajan Perappadan</strong></h1>
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                <p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>144 institutions were de-empanelled</em></p><p style="text-align:justify">Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its <a href="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf" title="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf">reply</a> to the Parliament in the recently concluded session.</p><p style="text-align:justify">The Ministry added that the National Health Authority (NHA)&mdash;the implementing agency of AB-PMJAY&mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.</p><p style="text-align:justify">The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&nbsp;</p><p style="text-align:justify">The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&nbsp;</p><p style="text-align:justify">``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&rsquo;&rsquo; said the Ministry.&nbsp;</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA" title="https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA">click here</a> to read more.</p>               </font>
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&lt;p style=&quot;text-align:justify&quot;&gt;Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &amp;ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its &lt;a href=&quot;/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf&quot;&gt;reply&lt;/a&gt; to the Parliament in the recently concluded session.&lt;/p&gt;

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&lt;p style=&quot;text-align:justify&quot;&gt;The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&amp;nbsp;&lt;/p&gt;

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144 institutions were de-empanelled

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144 institutions were de-empanelled

Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme..."/>
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                <strong> Hospitals fined for fake Ayushman Bharat claims -Bindu Shajan Perappadan</strong></h1>
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                <p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>144 institutions were de-empanelled</em></p><p style="text-align:justify">Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its <a href="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf" title="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf">reply</a> to the Parliament in the recently concluded session.</p><p style="text-align:justify">The Ministry added that the National Health Authority (NHA)&mdash;the implementing agency of AB-PMJAY&mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.</p><p style="text-align:justify">The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&nbsp;</p><p style="text-align:justify">The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&nbsp;</p><p style="text-align:justify">``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&rsquo;&rsquo; said the Ministry.&nbsp;</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA" title="https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA">click here</a> to read more.</p>               </font>
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&lt;p style=&quot;text-align:justify&quot;&gt;Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &amp;ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its &lt;a href=&quot;/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf&quot;&gt;reply&lt;/a&gt; to the Parliament in the recently concluded session.&lt;/p&gt;

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144 institutions were de-empanelled

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&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;144 institutions were de-empanelled&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &amp;ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its &lt;a href=&quot;/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf&quot;&gt;reply&lt;/a&gt; to the Parliament in the recently concluded session.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The Ministry added that the National Health Authority (NHA)&amp;mdash;the implementing agency of AB-PMJAY&amp;mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&amp;nbsp;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&amp;nbsp;&lt;/p&gt;

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144 institutions were de-empanelled

Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &amp;ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme...&#039;
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144 institutions were de-empanelled

Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme..."/>
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                <strong> Hospitals fined for fake Ayushman Bharat claims -Bindu Shajan Perappadan</strong></h1>
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<p style="text-align:justify"><em>144 institutions were de-empanelled</em></p>

<p style="text-align:justify">Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its <a href="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf">reply</a> to the Parliament in the recently concluded session.</p>

<p style="text-align:justify">The Ministry added that the National Health Authority (NHA)&mdash;the implementing agency of AB-PMJAY&mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.</p>

<p style="text-align:justify">The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&nbsp;</p>

<p style="text-align:justify">The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&nbsp;</p>

<p style="text-align:justify">``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&rsquo;&rsquo; said the Ministry.&nbsp;</p>

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144 institutions were de-empanelled

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<p style="text-align:justify"><em>144 institutions were de-empanelled</em></p>

<p style="text-align:justify">Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its <a href="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf">reply</a> to the Parliament in the recently concluded session.</p>

<p style="text-align:justify">The Ministry added that the National Health Authority (NHA)&mdash;the implementing agency of AB-PMJAY&mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.</p>

<p style="text-align:justify">The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&nbsp;</p>

<p style="text-align:justify">The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&nbsp;</p>

<p style="text-align:justify">``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&rsquo;&rsquo; said the Ministry.&nbsp;</p>

<p style="text-align:justify">Please <a href="https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA">click here</a> to read more.</p>
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$metaTitle = 'LATEST NEWS UPDATES |  Hospitals fined for fake Ayushman Bharat claims -Bindu Shajan Perappadan'
$metaKeywords = 'Ayushman Bharat–Pradhan Mantri Jan Arogya Yojana,AB-PMJAY,National Health Authority,National Anti-Fraud Unit,Aadhar-based biometric verification'
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144 institutions were de-empanelled

Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme...'
$disp = '<p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>144 institutions were de-empanelled</em></p><p style="text-align:justify">Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat &ndash; Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its <a href="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf" title="/upload/files/Corruption%20in%20Ayushman%20Bharat.pdf">reply</a> to the Parliament in the recently concluded session.</p><p style="text-align:justify">The Ministry added that the National Health Authority (NHA)&mdash;the implementing agency of AB-PMJAY&mdash;had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level.</p><p style="text-align:justify">The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.&nbsp;</p><p style="text-align:justify">The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.&nbsp;</p><p style="text-align:justify">``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,&rsquo;&rsquo; said the Ministry.&nbsp;</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA" title="https://www.thehindu.com/news/national/over-18000-non-genuine-transactions-detected-in-ab-pmjay/article65308589.ece?homepage=true&amp;fbclid=IwAR3NXEuD15-L_pxXnVtuBcR5GN7bAhe_MZcr2x8xUopcRER_ij7eGC2nIxA">click here</a> to read more.</p>'
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Hospitals fined for fake Ayushman Bharat claims -Bindu Shajan Perappadan

-The Hindu 144 institutions were de-empanelled Non-genuine 18,606 hospital transactions were detected in the Ayushman Bharat – Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) with penalty amounting to Rs.29.72 crore being levied on erring hospitals. Also 144 hospitals were de-empanelled from the scheme based on confirmed fraudulent behavior, said the Health Ministry in its reply to the Parliament in the recently concluded session. The Ministry added that the National Health Authority (NHA)—the implementing agency of AB-PMJAY—had issued a comprehensive set of anti-fraud guidelines. The anti-fraud advisories were issued to States/UTs. National Anti-Fraud Unit (NAFU) was created at the NHA for overall monitoring and implementation of anti-fraud framework supported by State Anti-Fraud Units at the State level. The Ministry further said that all claims required mandatory supporting documents alongwith on-bed patient photo before approval and payment.  The feature of Aadhar-based biometric verification of beneficiary at the time of admission and discharge was launched at all private hospitals.  ``Use of artificial intelligence and machine learning is made for a comprehensive fraud analytics solution to detect fraud proactively, develop algorithms that can be used on large volumes of data to identify suspect transactions and entities and risk scoring of hospitals and claims,’’ said the Ministry.  Please click here to read more.