Autopilot for healthcare providers automatization methodologies to reduce workload and medical mistakes

Objective: To explore the application of automation methodologies from aviation to healthcare, aiming to reduce workload and minimize medical errors. Background: Automation in aviation, such as autopilot systems, enhances precision in tasks like landing in low visibility and reduces workload in monotonous activities. These technologies replace human reflexes with machine precision but also introduce risks, such as over-reliance on automation, leading to skill degradation. Methods: The article draws analogies between aviation and healthcare, focusing on two types of automation: precision/accuracy and continuous attention/fine-tuning. It examines the potential for automation in surgical procedures, anesthesia, intensive care, and patient self-care. Additionally, it explores the implications of automation bias, where clinicians may overly trust automated systems, leading to decreased vigilance. Results: Automation in healthcare can enhance surgical precision and alleviate the workload of healthcare providers by automating routine tasks. However, over-reliance on automation may lead to losing critical thinking and manual skills among healthcare providers. In patient’ self-care, automation can improve compliance and reduce the burden on primary care services, particularly in remote areas. Conclusion: Automation in healthcare offers significant benefits in terms of precision and workload reduction. However, it also presents challenges, including the risk of automation bias and the potential erosion of essential clinical skills. A balanced approach that integrates automation while maintaining human oversight and decision-making is crucial for safe and effective healthcare delivery.