Savitar Malhotra

Sir Ganga Ram Hospital

Papers

1

Total Citations

10

H-Index

1

About

Dr. Savitar Malhotra is a leading anesthesiologist and researcher whose work focuses on optimizing perioperative care, particularly through the integration of advanced technology in anesthesia delivery. A key area of his research is the evaluation of closed-loop anesthesia delivery systems, which automate the administration of anesthetic agents to improve patient safety and recovery. His most cited work, a 2024 randomized controlled study, rigorously compared the quality of recovery—measured by the validated Quality of Recovery-15 score—between patients receiving closed-loop propofol versus desflurane anesthesia during transabdominal robotic surgery. This study, which has already garnered 10 citations, is a significant contribution to the field, demonstrating how automated techniques can enhance patient outcomes in complex, minimally invasive procedures. By directly assessing recovery quality, Dr. Malhotra’s research provides crucial evidence for refining anesthetic protocols in robotic surgery, a rapidly expanding surgical discipline. His work bridges the gap between technological innovation and clinical practice, offering a pathway to more precise, efficient, and patient-centered anesthesia care. Dr. Malhotra’s findings are essential reading for clinicians and researchers seeking to improve recovery trajectories and operational efficiency in modern surgical settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of Quality of Recovery With Quality of Recovery-15 Score After Closed-Loop Anesthesia Delivery System-Guided Propofol Versus Desflurane General Anesthesia in Patients Undergoing Transabdominal Robotic Surgery: A Randomized Controlled Study
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Sir Ganga Ram Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago