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MONITORING OF STRESS IN HEALTHCARE CARE PROFESSIONALS IN COMPLEX ENVIRONMENTS
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MONITORING OF STRESS IN HEALTHCARE CARE PROFESSIONALS IN COMPLEX ENVIRONMENTS

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  • 1. MONITORING OF STRESS IN HEALTHCARE CARE PROFESSIONALS IN COMPLEX ENVIRONMENTS Preliminary results Deepak Agrawal, KK Biswas*, Renu Saini, Yamuna Prasad* Department of Neurosurgery, JPNA Trauma Centre, AIIMS & *Department of Computer Science, IIT, New Delhi
  • 2. Background Healthcare care professionals like doctors & nurses are expected to have the highest level stress in complex environments like Emergency rooms , OT’s & Intensive care units
  • 3. Stress Dependent Factors O Pre-existing stress levels, O Pre-existing knowledge, O Personal & professional relationship with peers & subordinates, O Experience in the specific environment
  • 4. AIM To use wearable biosensor(s) and attempt to measure the stress in the complex environments at the individual level
  • 5. Methodology Selection of wearable sensors Data acquisition Complexity modeling
  • 6. Biosensor O A biosensor is an analytical device which is used to determine the presence and concentration of a specific substance in a biological analyte
  • 7. What is wearable biosensor ? Object that can be worn on body. O Watch O Jacket O Ring
  • 8. Selected Biosensor We have selected sunnto T6d watches, that is; O Comfortable, O Have desirable physiological parameter, O Inter Beat Interval O Heart Rate O Temperature O Calories O Easy to wear and take off.
  • 9. Methodology
  • 10. STEP -1 STEP- 2
  • 11. Step 3 O Event Marking O Patient entering Resuscitation bay O Patient requiring intubation (patient desaturating) O Cardiac/respiratory arrest
  • 12. On Line Data Collection
  • 13. Step 4-Modulation of Data Complexity modeling using Support Vector Machines O Linear O Gaussian Kernels
  • 14. OBSERVATIONS O 1642 Hours of data collected over 6 months O 37 doctors O 52 nurses
  • 15. Results O Variation in all the parameter (Energy, IBI, Heart rate, and Temp) across the normal or abnormal data. O We are able to quantify stress levels at a individual level with 100% accuracy
  • 16. Result O Different stress level found between individual doctors/nurses for a single event corroborated the fact that in- experienced doctors/nurses may have high stress dealing with in the event as compare to the experienced doctors/nurses.
  • 17. Results O Stress level is different at different times & this is independent of individual stress levels O This implies that doctor /nurse are more highly stress during specific shift(s) (night).
  • 18. New Observations O 100% stress level detection in the hospital set up during the medical procedure at the individual level.
  • 19. Innovations O Pre-existing stress levels can be measured by the variation in normal attributes due to factors such as O Lack of sleep, O Non-related work stress etc.
  • 20. Application Potential O Long Term Duty roster should be prepared according to the predetermined stress levels using our modeling so that a team posted in the ED at any point of time has a balanced mix of health care professionals of different stress level. O Immediate This systematic research will useful to assess stress level of healthcare worker in the complex environment in emergency department.
  • 21. Application Potential O Repeated Stress testing O Baseline and at regular intervals O Could be surrogate marker for assimilation of knowledge & experience in an individual.
  • 22. Future Prospect This approach will help to reduce medical error that focuses on the emergence, detection and management of error within a complex cognitive system.
  • 23. Acknowledgements O Project funded by Cognitive Task Force, Department of Science & Technology, Govt of India. O Data Capture done with help of Dr Bhoi, Department of Emergency Medicine, JPNATC, AIIMS, New Delhi O Data analysis & Modelling done in Department of Computer Science, IIT, Delhi
  • 24. THANK YOU

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