Remote Surveillance Technologies: Realizing the Aim of Right Patient, Right Data, Right Time

Area of Science:

• Health Informatics
• Medical Monitoring Technology
• Anesthesiology

Background:

• Advancements in health IT and monitoring devices enable remote patient surveillance systems.
• Continuous physiological data collection via wearables and biosensors is now feasible across care settings.
• These data form "data lakes" requiring processing for real-time analysis and prediction algorithms.

Purpose of the Study:

• To review the technical components, clinical applications, and evidence for remote patient surveillance systems.
• To explore the role of anesthesiologists in leading remote surveillance initiatives.
• To identify barriers to implementation, study, and sustainability, including cost-effectiveness and reimbursement.

Main Methods:

• This narrative review synthesizes current literature on remote patient surveillance technologies.
• It examines clinical use cases relevant to anesthesiology practice.
• It discusses existing evidence, implementation challenges, and future considerations.

Main Results:

• Remote surveillance systems offer continuous monitoring and early detection of patient deterioration, potentially reducing adverse events.
• Anesthesiologists can expand their surveillance scope beyond traditional settings.
• Significant barriers include limited outcome studies, unclear alert response strategies, and lack of cost-effectiveness data.

Conclusions:

• Remote patient surveillance holds promise for improving patient care and outcomes by enabling timely interventions.
• Effective implementation requires addressing challenges in technology integration, clinical workflow, and economic viability.
• Further research is needed to demonstrate the impact on patient outcomes and establish sustainable models.