17524352. AI BASED CONTEXT AWARE MULTIDIRECTIONAL PATIENT MOVEMENT simplified abstract (International Business Machines Corporation)

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AI BASED CONTEXT AWARE MULTIDIRECTIONAL PATIENT MOVEMENT

Organization Name

International Business Machines Corporation

Inventor(s)

Partho Ghosh of Kolkata (IN)

Akash U. Dhoot of Pune (IN)

Shailendra Moyal of Pune (IN)

Lakshmojee Rao Vulli of Bangalore (IN)

AI BASED CONTEXT AWARE MULTIDIRECTIONAL PATIENT MOVEMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 17524352 titled 'AI BASED CONTEXT AWARE MULTIDIRECTIONAL PATIENT MOVEMENT

Simplified Explanation

The patent application describes an approach for providing movement settings for a smart bed used by immobile patients. This approach involves analyzing patient data and environmental data to create a digital twin of the patient. The digital twin is then used to model the patient's movement and determine the optimal movement settings for the smart bed. Instructions are then sent to the smart bed based on the desired outcome.

  • The approach retrieves patient data and environmental data.
  • The patient data is analyzed to create a digital twin of the patient.
  • The digital twin is used to model the patient's movement.
  • The movement settings for the smart bed are determined based on the desired outcome.
  • Instructions are sent to the smart bed to adjust its settings accordingly.

Potential Applications:

  • Healthcare facilities and hospitals can use this technology to provide personalized movement settings for immobile patients.
  • Home care providers can utilize this technology to enhance the comfort and well-being of immobile patients.
  • Rehabilitation centers can benefit from this technology by optimizing movement settings for patients recovering from injuries or surgeries.

Problems Solved:

  • This technology addresses the challenge of providing appropriate movement settings for immobile patients who are unable to adjust their positions on their own.
  • It solves the problem of manually determining the optimal movement settings for each individual patient, which can be time-consuming and prone to human error.

Benefits:

  • The approach improves patient comfort and reduces the risk of pressure sores and other complications associated with immobility.
  • It allows for personalized movement settings based on each patient's specific needs and desired outcomes.
  • The technology can enhance the efficiency of healthcare providers by automating the process of adjusting movement settings for immobile patients.


Original Abstract Submitted

An approach for providing movement settings for a smart bed associated with an immobile patient is disclosed. The approach includes retrieving patient data and retrieving environmental data. The approach analyses patient profile and creates a digital twin of patient. In the digital twin environment, the approach models the patient movement and send patient movement setting based on desired outcome. Finally, the approach sends instructions to the smart patient bed.