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