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Transforming Hospital Management with Computer Vision

Using Advanced Video Analytics to Optimize Patient Flow, Reduce Wait Times, and Enhance Patient Experience

Healthcare is the most sensitive industry directly connected to us in every possible way and requires immediate attention to address the challenges. Healthcare sector today are struggling with rising costs & varying quality. AI in healthcare has the potential of helping frontline healthcare providers to become more efficient & productive. Artificial Intelligence can assist in many healthcare aspects like better patient care, improved administrative processes and improved existing solutions to overcome challenges faster. Our machine-learning powered video analytics help overcoming management challenges when it comes to the freedom & preservation of healthcare. Replace traditional methods in healthcare for improved work efficiency with video analytics solutions.

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How Will It Help?

Healthcare

  • Ensure safe & secure environment for staff, patients, and visitors using face detection, loitering alert, object detection, queue length monitoring & crowd formation detection, weapon detection and maintain other safety protocols.
  • Use machine learning algorithms to understand the flow of substances through the organization with 24/7 monitoring & prevent drug diversion including drug theft, personal use, or adulteration & substitution.
  • Get real-time alerts on deviation around PPE norms and social distancing. AI-vision can perform mask detection to keep healthcare employees, patients, and visitors safe & healthy. With improved image processing identify Covid-19 and analyze & quantify the flow of infection & disease.
  • Leverage automated systems to monitor patients’ vitals in real-time for instant response or intervention by caregivers. Additional healthcare tasks like checking bed occupancy, detecting missing patient, patient fall, etc. can be performed by vision-based sensors more efficiently.
Computer vision is useful for hospital management to help hospitals better manage patient flow and reduce wait times. Here are some potential use cases:

  1. Patient Tracking: Computer vision tracks patients as they move through the hospital. By using cameras and computer vision algorithms, hospital staff can monitor patient movement in real-time and identify bottlenecks or delays in the system. This information can then be used to optimize patient flow and reduce wait times.
  2. Patient Identification: Computer vision identifies patients as they enter the hospital or check in at various points throughout their visit. By using facial recognition technology, hospitals can quickly and accurately match patients to their medical records, reducing errors and improving the overall patient experience.
  3. Staff Management:
    Computer vision can monitor staff movement and workload. By analyzing video feeds and staff schedules, hospitals can identify opportunities to optimize staffing levels and improve efficiencies.
  4. Analytics and Reporting:
    Computer vision can gather data on patient flow and wait times, which can identify patterns and trends. This information can help hospitals make crucial data-driven decisions. Get data about staffing, scheduling, and facility layout to optimize patient flow and reduce wait times.
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