Published • loading... • Updated
False Records, Fraud, Exploitation: J&K Doctor Suspended over Alleged Needless Cardiac Procedures
The inquiry found 103 cardiac cases were billed as pacemaker implants, while experts said 27 of 55 reviewed patients did not need the procedures.
- On Saturday, the Jammu and Kashmir government suspended Associate Professor Dr. Syed Maqbool Ahmad Shah from Government Medical College Anantnag pending an inquiry into alleged irregularities involving 103 cardiac procedures under the PMJAY-SEHAT scheme.
- The State Anti-Fraud Unit conducted an unannounced investigation on December 19, 2025, after receiving multiple alerts regarding suspected out-of-pocket expenditures incurred by vulnerable patients at the facility.
- Experts found that Maqbool booked 103 cases under the 'Dual Chamber Pacemaker' package while actually performing Left Bundle Branch Area Pacing ; 27 of 55 evaluated patients had normal heart function requiring no procedure.
- Patient Peer Rafiq Ahmad confirmed he was forced to pay ₹70,000 out of his own pocket to private firm M/S SSB Combination, with Maqbool allegedly directing the external financial transaction.
- State Health Minister Sakina Itoo stated the inquiry will hold doctors accountable, declaring, "We will not allow any doctor to play with the lives of patients." Maqbool must submit a written defense within one week.
Insights by Ground AI
11 Articles
11 Articles
Pacemaker Scam in Kashmir: Cardiologist Suspended as Probe Flags Unnecessary Heart Procedures on Healthy Patients
The Jammu and Kashmir Government has suspended cardiologist Dr. Syed Maqbool Ahmad Shah pending an inquiry into allegations of fraudulent PMJAY-SEHAT insurance claims, unnecessary cardiac procedures, patient exploitation, and manipulation of medical records at GMC Anantnag.
·India
Read Full Article
Father's Day SaleGet 40% off Vantage subscriptions for yourself or a friend.Get Started
Coverage Details
Total News Sources11
Leaning Left1Leaning Right2Center1Last UpdatedBias Distribution50% Right
Bias Distribution
- 50% of the sources lean Right
50% Right
L 25%
C 25%
R 50%
Factuality
To view factuality data please Upgrade to Premium
