In healthcare, computer vision, in particular, is accelerating the pace of change. Most importantly, the widespread adoption of visual AI strategies in healthcare has just begun. As a subfield of artificial intelligence, visual AI enables computers to “see” and process images and videos faster, more accurately, and more cost efficiently than a highly trained medical practitioner. Computer vision technology is quickly offering the following benefits to the healthcare industry:
  1. Accurate and efficient imaging analysis
  2. Smart operating rooms
  3. Better patient identification
  4. Increased healthcare safety
  5. Accelerated medical research
We’ll examine each of these benefits in more detail as well as discuss ROI.
  1. More Accurate and Efficient Imaging Analysis
Computer vision is capable of improving both speed and accuracy when analyzing medical images: detecting hidden patterns and making diagnoses with fewer errors than humans. A study in Nature found that visual AI systems were more accurate than human radiologists when analyzing mammograms for signs of breast cancer, reducing both false positives and false negatives. Additionally, workloads were reduced by 88% when the AI system and providers worked together.
  1. Smart Operating Rooms
Typical EHR systems require surgical nurses to make up to 100 clicks to document a surgical procedure. Through direct observation and documentation, computer vision systems can reduce or eliminate this manual effort. As a result, doctors and nurses are able to spend more time on patient care, reducing stress for them and improving outcomes for patients.
  1. Better Patient Identification
Cases of mistaken patient identity are unfortunately all too common in healthcare. A study by the Ponemon Institute found that 86% of nurses, physicians, and IT practitioners have personally seen or known of a patient being mistaken for someone else. Despite the fact that these errors are often caught early, they can be dangerous or even fatal if they are not corrected: Patients can end up taking the wrong medications, receiving the wrong tests or treatments, or undergoing the wrong surgery.
  1. Increased Healthcare Safety
Almost all worker and patient injuries occur when employees fail to use required safety equipment or fail to follow sterile processing protocols. These technologies can dramatically reduce the number of injuries resulting from these failures:
  • Accurately identifying when employees fail to use appropriate safety equipment: Medical and laboratory staff who fail to use gloves, goggles, masks, face shields and protective clothing when safety rules require it, significantly increase their chances of injury. Computer vision systems can monitor staff at all times to ensure they are wearing the required safety equipment at all times. 
  • Accurately identifying sterile processing failures: When medical staff members do not adhere to stringent device cleaning, disinfection and sterilization standards, the risk of surgical site infection increases dramatically. Surgical site infections have a 3% mortality rate and an associated annual cost of $3.3 billion.  
  • Computer vision systems can accurately monitor and track whether medical personnel are adhering to sterile processing protocols. This reduces instances of sterile processing failures while holding staff members accountable when such failures occur. 
Smoke and fire-related injuries are also a concern at medical facilities. By identifying subtle signs of smoke and fire, computer vision systems can trigger evacuation alarms and alert emergency response teams earlier than traditional detection systems. In addition to smoke and fire detection, computer vision for fall detection can identify when a worker or patient falls, thereby notifying medical teams and recording the instance for legal and insurance purposes. 5.Accelerated Medical Research Finally, computer vision for medical research helps healthcare organizations speed up the process of investigating and testing new treatments and technologies.

Computer vision can automate several tasks without the need for human intervention. As a result, it provides organizations with a number of benefits. Need for regular monitoring?

The Benefits of Computer Vision in Healthcare Using computer vision solutions for these healthcare use cases can benefit doctors’ offices, hospitals, outpatient surgical centers, medical labs, and research facilities. These ROI benefits include:
  • fewer readmissions: These solutions help medical facilities improve patient outcomes by helping doctors, medical staff, and lab workers provide more accurate diagnoses and better care.
  • The solutions help medical facilities reduce accidents, injuries, and unintended surgical site infections by monitoring employee safety equipment usage, following sterile processing protocols, and identifying smoke, fire, and fall accidents.
  • Reduced insurance costs: These systems reduce workers’ compensation and medical malpractice claims by improving the quality and safety of medical facilities. Consequently, medical facilities pay less for insurance.
  • Streamlines workflows and decreases labor costs: By offering healthcare facilities and medical labs the ability to perform tasks more quickly and accurately, this technology streamlines workflows and reduces labor costs, allowing organizations to accomplish more with fewer staff members.
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