Particular PPt focuses on a project conducted by Dr Aditya

1. IMPROVEMENT IN THE TURN AROUND
TIME BY USING VARIOUS
METHODOLOGY
Presented by:
Dr Jasbeer Singh
Dr Aditi

2. Project Details:

3. Current Situation vsTarget
Status aimed at the end of the project
 < 5% TAT outlier (defects)
 To increase the number of tests per day by 36
tests
 Increase in the financial benefit between Rs
3960 /day to Rs. 86,400/day
Status at the start of the project
 9.1 % TAT outlier (defects)
 Test load : 172 tests per day

4. Scope: All biochemistry reports
Out of bounds:
- IP and outsourced tests
- samples billed before 6AM and after 4PM
- National holidays and Sundays
- Timed samples
- Urine and other fluid samples

5. TYPE OF MEASURE
DATA COLLECTION
STRATEGY
OUTLIER
Turn around time from billing to report
verification
- HIS biochemistry data of two weeks
- Sample audit, time and motion study of
two days
TAT more than target time i.e.
4 hours (240 minutes)
Data Collection:

6. Process Map:
Billing of the tests
Sample collection
Sample transport
Sample acknowledgement
Sample receipt
Result entry
Result verification
Target time from
billing to collection:
10 mins
Target time from
collection to
acknowledgment: 45
mins
Target time from
acknowledgment to
verification :
120 mins
Phlebotomy
Accession
Biochemistry
Department

7. Cause and effect diagram (Ishikawa):

8. - Shortage of staff
- Delay in sample transport
- Sample rejection & follow up
- Delay in sample receipt in the
department
- Equipment breakdown
- Equipment sample process time
- Wrong billing correction
- Improper information about the
change in the billing
- Improper information about the
samples billed earlier & collected
late
- GDA unavailable
- Bar code alignment issue
- IP sample collections in HIS
without collecting the sample
- Preventive maintenance
- One PCS staff in the 7AM-
11:30AM shift
- Delay from phlebotomists
- Inexperienced GDA
- Inexperienced PCS
- Inexperienced accession personnel
- Delay from GDA
- Difficult vein
- Patient's queries
- Bar codes not read by the
equipment
- EI worklist delay
- Equipment not interfaced
- All investigations not mapped
- Power failure
- Temperature not maintained
- HIS not working
- No reagent supply
- Tight full sleeves dress
- Telephonic queries
- Patient queries
- Latest billing not reflecting on the
first page
- Pending worklist not available
- Increased sample load
Prioritisation of Xs: Control / Impact Matrix
HIGH MEDIUM LOW
IMPACT
C
O
N
T
R
O
L
IN OUR
CONTROL
OUTOF
OUR
CONTROL

9. Analyze Phase:
Target time:10 mins
HIS data
Gemba-time
and motion
study
Source: 1. HIS 2.Gemba-
time and motion study
Data: Population
Area: Phlebotomy

10. Target time: 45 mins
HIS data
Gemba-time
and motion
study
Source: 1. HIS
2.Gemba-time and
motion study
Data: Population
Area: Accession

11. Target time: 120 mins
HIS data Gemba-time
and motion
study
Source: 1. HIS
2.Gemba-time and
motion study
Data: Population
Area: Biochemistry

12. Improvement strategy:
Phlebotomy:
■ Non value added steps reduced in the sample collection process
■ Takt time analysis done and staff allotted for sample collection during the peak time and back up
provided for sample collection when there are more three patients waiting
■ Two dedicated GDA staff & their back up trained for sample transport and time management
Accession:
■ GDA training for the transport of samples from accession to the biochemistry department
■ Specific time to be allotted for outsource report dispatch

13. Biochemistry department:
■ Pending lists monitored at frequent intervals
■ The unresolved IT issues were compensated to some level by the technical staff
suggestions in the brainstorming session: 1. Manual dilution programming for auto
calculation (manual calculation step was skipped) 2. Manual assignment of the position
and rack ID (helped in the reduction of number of steps in the manual process)
Suggestions that were not implemented-
 Two dedicated staff to be provided covering 7AM-5:30PM
 Target time of the transport time to be revised to 10mins from 45mins as we have
pneumatic chute system for sample transport

14. Performance measurement:

15. Project objective:
Status aimed at the end of the project
 < 5%TAT outlier (defects)
 To increase the number of tests per
day by 36 tests
 Increase in the financial benefit
between Rs 3960 /day to
Rs. 86,400/day
Achievement at the end of the project
 4.6 %TAT outlier (defects)
 Increased the number of tests per day
by 76 tests
 Financial benefit achieved between
Rs 8360 /day to Rs. 1,82,400/day

16. For the sustenance of theTAT
 The pending tests list is monitored twice daily at 11 AM and 4 PM by the biochemistry department to
control theTAT of the tests.
 Monthly TAT review in the laboratory quality meeting and quarterly TAT review by the hospital quality
department.
Control Phase:

17. Conclusion:
Lean six sigma methodology has helped in the achievement of the following:
 increasing productivity without any additional resources;
 improving quality by reducing the opportunities for error; and
 ensuring the improvements are maintained through systematic and timely monitoring.
 The stakeholders have noticed the change and improvement in the turnaround time of biochemistry reports.
 Staff feel appreciated and motivated as their suggestions has played a vital role in the success of this project.
 Furthermore, this project has served as a model that launched other quality improvement programs in the
hospital

18. Innovative Ideas:

19. Thank You

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