six sigma

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Six Sigma in Emergency Department Wait Times and Service Quality

Team

Amjad alzawad & saad aljemaz

October 31,2016

SAALCS2103116

Company profile

Paoli Hospital

Founded in 1914.

Located in Paoli, PA.

Drivers for change

Due to delays, patients leave the emergency room without waiting, accounted for 6.3% of a total 43,800 ED visits.

Resulted in lost hospital revenue, negative hospital reputation and poor emergency room preparedness.

The goal is to increased patient satisfaction and improved financial performance

Define phase

SIPOC represents a high-level identification of the process to observe the major process elements.

Helps to identify the process outputs and the customers of those outputs so that the voice of the customer can be captured.

5

Measure Phase

Establishing the baseline sigma before any process improvement is implemented:

Units: Hospital ED visits which are 43,800 visits per year.

Defects: 6.3% or 2,759 people leaving the hospital ED without being seen by a doctor.

DPMO : 2759/(1*43,800) = 0.062991 or 63,000 DPMO.

This equates to 3.03 Sigma.

Analyze phase

Separating the significant aspects of a problem from the small ones.

The team should focus, at most, on the first six reasons

Analyze phase Continued…

Average wait time: 21.1935484 minutes

Patient Wait Times

Frequency

5 12 19 26 33 More 1 2 11 9 7 1

Minutes

Frequency

Improve phase

The Design of Experiments (DOE) :

Find an improvement considering variables that impact wait times.

five possible reasons for the delay:

Staff size

Order of treatment

Treatment method

Tracking software

Waiting room temperature

Improve phase Continued…

Scatter Diagram

Determine the correlation between the volume of patients and the impact on the number of patients that leave without treatment .

172 132 130 206 199 223 201 169 135 200 189 110 203 189 224 197 188 125 199 194 207 4 6 2 4 6 4 8 7 5 3 7 8 6 5 8 4 8 2 6 8 7

Control phase

Establishing Control Chart of new wait times in order of occurrence

Six sigma tools

Pareto Diagram

Histogram Chart

Design of Experiments (DOE)

Scatter Diagram

Control Chart

Kpiv AND kpov

Variation in number of staff

Variation in patients waiting time (min)

Variation in number of patients leaving without treatment.

Variation in Waiting room temperature (Degrees)

Reducing “door to doctor” time

Results Achieved

Improving “door to doctor time” by 50%

Decreasing total revenue losses by 20%

Reduce unseen patients by 75%

Lessons learned

Pleasing incoming patients is beneficial

(Customer Satisfaction).

Involving all staff members of hospital to DMAIC

process.

Data collection is important.

Understanding the patients needs and its effects.

references

http://www.slideshare.net/mfloriani/healthcare-six-sigma-project