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Bridging Knowledge and Expertise to Improve Operating Theatre Turnaround Time Through Data-driven Process Optimization�

By

Kettice Mbugua APM, BScN, KRCHN

Olivia Ochieng BScN, RN

Aga Khan University Hospital, Nairobi

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Why Turnaround Time Matters

PATIENT FLOW

Delays affect the movement of patients through the perioperative pathway.

THEATRE EFFICIENCY

Turnaround time influences theatre capacity and daily workflow(Pakhare et al., 2022).

TARGET

The quality improvement target is a 20-minute turnaround.

20 MINUTES

The target that guides the improvement work

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The Problem

• Data were collected in real time.

• Collection and analysis were manual.

• Delays required follow-up after they occurred.

• Theatre status was not continuously visible.

• A sustainable automated solution was needed.

THE GAP

The information existed.��The challenge was making it visible, timely and actionable.

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Quality Improvement Aim

1 MONITOR

Capture theatre performance in real time.

2 IDENTIFY

Detect delays and workflow bottlenecks.

3 IMPROVE

Support timely action and sustained performance.

ULTIMATE AIM

Keep theatre turnaround time at 20 minutes.

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Measures Used

FIRST-CASE START

Timeliness of the first case

TURNAROUND TIME

Time between cases

BOOKED-TIME DELAYS

Where scheduled time was lost

STAFF READINESS

Readiness of the team

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TAT Compliance

QI MESSAGE

Measurement alone is not enough.��Teams need timely visibility to support action.

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Keeping the 20-Minute Target Visible

ON TARGET

≤20 min��Maintain flow

AT RISK

21–25 min��Escalate early

DELAYED

>25 min��Identify cause

SEE → UNDERSTAND → ACT

A continuous feedback loop for theatre performance

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What the Data Showed

12,231

Phase 1 delay minutes

7,287

Phase 2 delay minutes

4,944

Minutes difference

KEY FINDING

The data highlighted delays linked to first-case starts, equipment availability and staff readiness.

Implementations

  • CICS
  • Workstation clock in
  • CMEs on TAT
  • Reliever nurse
  • TAT Dashboard

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The Improvement: Automated Visibility

REAL-TIME

Data capture

AUTOMATED

Analysis

VISIBLE

Dashboard

ACTION

Follow-through

Dashboard successfully launched

Implementation is still in its early stage.

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The 8-OR Real-Time Dashboard

One screen • eight operating rooms • one patient journey view

OR 1

OR 2

OR 3

OR 4

OR 5

OR 6

OR 7

OR 8

Pre-op

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

In OR

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

Start

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

End

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

Out OR

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

HH:MM

Status

OCCUPIED

VACANT

OCCUPIED

VACANT

OCCUPIED

VACANT

OCCUPIED

VACANT

Pre-op → In OR → Case start → Case end → Out of OR

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Making the Patient Journey Visible

PRE-OP

Arrival time

IN OR

Arrival time

CASE START

Start time

CASE END

End time

OUT OF OR

Exit time

The dashboard makes each transition visible in real time.

This helps the team see where time is being lost.

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Next Steps

OPTIMIZE

Improve dashboard usability.

VALIDATE

Collection of data to strengthen data analysis accuracy.

SUSTAIN

Track performance continuously.

FUTURE FOCUS

Analyse delays and follow the patient journey from ward to OR.

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Conclusion

  • Collaborative expertise drives meaningful improvement.
  • Data helps us identify bottlenecks and optimize theatre processes.
  • Reducing turnaround time improves efficiency, resource utilization, and patient care.
  • Sustainable improvement requires teamwork, accountability, and continuous learning.

“Alone we can do so little; together we can do so much.”� — Helen Keller

Together, we can turn every minute saved into better patient care.

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References

  • Pakhare, V., Gopinath, R., Dhanalakshmi, S. K. S., Nanda, A., Kanojia, N., & Venu, P. (2022). Audit of operation theater time utilization with perspective to optimize turnaround times and theater output. Journal of Anaesthesiology, Clinical Pharmacology, 38(3), 399.
  • MacMillan, L., Madura, G. M., Elliot, M., Frendl, D. M., Jorge, I. A., Fong, Z. V., Hasse, C., & Etzioni, D. A. (2025). What affects operating room turnover time? A systematic review and mapping of the evidence. Surgery, 181, 109263.

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