Computer vision technology is rapidly transforming the healthcare industry, offering innovative solutions to a wide range of medical challenges. While we often hear about computer vision in the context of self-driving cars and industrial automation, its potential impact in healthcare is even more significant.
Computer Vision in Healthcare
One of the primary applications of computer vision in healthcare is diagnostic imaging, where deep learning algorithms can analyze medical images to detect and diagnose medical conditions with remarkable accuracy. This technology is also being applied to enhance surgical procedures, such as robotic surgeries, by providing real-time feedback to surgeons to enable more precise incisions and reduce the risk of complications.
However, one of the most promising and impactful applications of computer vision in healthcare is direct patient care and resident safety. With over 36 million patients admitted to hospitals, 2 million seniors living in nursing homes or assisted living facilities, and over 4.7 million leveraging home care services annually, it is impossible for caretakers to have visibility into their patients and residents at all times. This lack of visibility can result in preventable accidents and errors, costing billions of dollars and resulting in significant loss of life each year. In fact, studies have shown the overall medical costs of falls in the US is over $50 billion annually and as many as 440,000 people die every year from preventable errors.
Automated Monitoring Systems
To address this challenge, smart automated monitoring systems utilizing computer vision and edge computing like Inspiren’s AUGi, provides safe, private, and de-identified visibility into care environments. These systems leverage algorithms to proactively detect potentially dangerous events and notify staff to take action, significantly reducing the strain on our healthcare system and saving lives. Additionally, these systems provide insights into how care is delivered, allowing for the implementation of clinical initiatives that can be measured and evaluated.
Just as self-driving cars are heralded as the future of transportation safety, computer vision has the potential to revolutionize patient care and resident safety by reducing manual labor, human error, and eliminating dangerous and deadly accidents. As the technology continues to advance, we can expect to see even more innovative applications of computer vision in the healthcare industry.
Book a demo today to see how AUGi can help your team of care providers.