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“Automated assessment of hand hygiene compliance in healthcare settings using

Kinect Camera”

Renu Saini*, Deepak Agrawal*, K.K. Biswas**Neurosurgery*, JPNATC, AllMS, New Delhi, Computer science & Engineering** IIT, Delhi

Introduction• Hospital-acquired infections most commonly transmitted

via Health care worker’s hands

• Hand washing reduces the infection rate in hospital during the patient care

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Improving Hand Hygiene Practice Why?

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Work health care system to make a safer place

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Hand hygiene

Hand hygiene is a term that applies to the process of hand washing or hand decontamination.

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Policy and Procedure

compliance

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Product Placement

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Communication: Education/Reminding

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Challenge Of Accountability

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Key Question

• Is Health care worker actually doing proper hand washing in the complex environment (ICU & Medical Ward) before and after touching the patients ?

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IT & HEALTH CAREInformation technology (IT) has the potential to improve the quality, safety, and efficiency of health care.

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Technology for Monitoring and Compliance

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Rational

Automated technology need to be developed:• Cost effective solution• Eliminates manual compliance monitoring• Avoids disruption to patient care workflows• Accountability to all the healthcare worker level

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AIM

To create an automatic monitoring system for the

health care professional’s “hand washing activity”

in the complex environment (ICU & Medical ward)

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Study Design: Prospective

Subject: Doctors & Nurse

Setting: Neurosurgery intensive care unit (NICU) at JPNATC, AIIMS.

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Kinect Camera

Configuration: • 640 X 480 pixels • can track the user’s arm, leg and finger movements

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Kinect Camera In ICU Setting

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Nurse using hand Sanitizer

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Patients touch by Nurse

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Real time feed back through live dash board

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Data Modeling

• 30 frames for individual to create feature vector and 3-D coordinates in each frame.

• Feature was extracted from the model such as rotation, position and size invariant and gave a relative position of skeleton points.

• Transformation matrix was calculated with rotation & scaling.

• This model was use to predict the action for health care worker in the term of hand washing.

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Results• Successful recognition of hand washing was seen at the

individual level. • This model gave possible number of times a particular

healthcare professional hand washed in a specific time period

• Automatic logging of this activity can result in accurate statistics on the prevalence of hand washing and ensure compliance by healthcare professionals in hospitals.

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Conclusion

Automated monitoring and real-time feedback helps to improve hand hygiene performance of health care professionals.

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Thankyou