Sahyadri Hospitals, a prominent healthcare provider in India, has introduced artificial intelligence (AI) technology to enhance patient monitoring in non-ICU settings. Established in 1996, this hospital chain operates across Maharashtra with over a thousand beds. The traditional patient monitoring methods were found lacking due to their reliance on periodic checks and potential delays in detecting early signs of patient deterioration. Recognizing these limitations, Sahyadri collaborated with Dozee to develop an AI-powered command center. This innovation enables continuous real-time monitoring and provides early warning alerts to healthcare teams, aiming to shift from reactive to predictive care models. Initial trials showed promising results, including the ability to predict patient deterioration up to 16 hours in advance, leading to significant improvements in patient safety and operational efficiency.

Enhancing Patient Safety Through Advanced Monitoring

The introduction of AI in non-ICU wards marks a significant advancement in patient safety for Sahyadri Hospitals. By leveraging cutting-edge technology, the hospitals have transitioned from periodic manual checks to continuous real-time monitoring. This shift allows healthcare professionals to identify early signs of patient deterioration much sooner, providing them with critical time to intervene effectively. The AI system not only monitors vital parameters such as heart rate and respiration but also tracks trends that may indicate potential health issues. As a result, adverse events have been significantly reduced, and timely interventions have become more feasible.

The AI-based ballistocardiography system employed by Sahyadri offers contactless monitoring of various vital signs, including blood pressure, SPO2 levels, temperature, and ECG. This comprehensive monitoring ensures that even subtle changes in a patient's condition are promptly detected. Dr. Kapil Borawake, Director of Critical Care at Sahyadri Hospitals, highlighted that the early warning system can predict patient deterioration up to 16 hours in advance. This foresight has led to a notable decrease in adverse events and optimized clinician workloads by streamlining monitoring processes. Moreover, it has improved operational efficiency, resulting in cost savings while maintaining high standards of patient care. The hospital aims to reduce mortality rates, ensure timely interventions, and improve patient recovery outcomes, all while reducing code blue incidents in non-ICU settings.

Boosting Operational Efficiency and Clinical Outcomes

Implementing AI technology in non-ICU wards has not only enhanced patient safety but also boosted operational efficiency within Sahyadri Hospitals. The AI-powered command center facilitates seamless communication between care teams, ensuring that every member is informed about patients' conditions in real time. This integration reduces the workload on clinicians, allowing them to focus more on delivering high-quality care. The streamlined monitoring process optimizes resource utilization, making the healthcare delivery system more efficient and cost-effective. Furthermore, the hospital plans to expand this initiative across all its branches in the coming months, underscoring its commitment to integrating advanced technology into clinical practice.

Dr. Borawake emphasized that patient safety remains the cornerstone of Sahyadri's operations. With the shift from a reactive to a predictive and preventive care model, the hospital aims to meet the high standards of care expected by patients today. The collaboration with Dozee has demonstrated the potential of AI in transforming healthcare delivery. By continuously improving patient outcomes and enhancing operational efficiency, Sahyadri Hospitals is setting a new benchmark in the healthcare industry. The hospital's vision includes expanding the AI-powered command center to all 13 branches, thereby ensuring that every patient benefits from this innovative approach to healthcare. In today's evolving medical landscape, integrating AI into clinical practice is becoming essential to deliver superior patient care.