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Scheduling Medical Operations

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Reported number of patients waiting for elective treatment, quarterly, March ... Anaesthesia. Operation. Recovery. Variability ... – PowerPoint PPT presentation

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Title: Scheduling Medical Operations


1
Scheduling Medical Operations
  • 7th International Workshop on Human Factors in
    Planning, Scheduling and Control in Manufacturing
  • Groningen, June 13-15, 2005
  • By Philip Ruttle

2
Backround - Motivation
3
Reported number of patients waiting for elective
treatment, quarterly, March 1993 to December 2002
4
Expenditure under the Waiting List Initiative,
1993 to 2002(strategic workaround send patients
elsewhere)
5
Waiting Times for Elective Surgeries
Current Situation wait for more than 3 in 4
patients is gt 4 months
The Aspired Target none gt 4 months!
6
Problems on the Ground Experienced by Surgeons
  • Example
  • Salient context
  • Coronary by-pass operations
  • Situation
  • Surgical team gowned up
  • Theatre ready
  • Problem No patient
  • Consequence Operation cancelled
  • Why?
  • No porter available
  • Occurrence one of many issues of annoyance
  • something must be done can someone look into
    this
  • potential opportunity

7
Operations Scheduler Activity Goals?
How do you improve one without NEGATIVELY
affecting the others? Assumption Currently focus
is on trade-offs Aspiration improve on all
fronts. (Improve on Pareto Optimality)
Constraints
8
Work Plan Personal Criteria
  • To be novel
  • To be useful
  • To be field-based
  • To add to knowledge at conceptual/abstract level
  • To be valid

9
Work Plan Line of Attack
2 Pronged Approach
Long term Interfacing/supporting
process Abstraction Frameworks General Application
to support system design Future processes/future
system?
  • Short term
  • Attention to the tangible
  • Process intervention at physical level
  • Build interest
  • Low Hanging Fruit
  • Limited conceptual depth?

10
Plan (Short-Term)
  • Speculative

11
Plan (Short-Term)
  • Observe suggest process control (queue
    discipline?) intervention
  • Who, What, When, Where, How, Why.
  • Current process structure
  • Constraints
  • First conventional
  • deepen
  • Process Times (measurable ?)
  • Setups/ changeovers (measurable ?)
  • Associated Variability
  • TOC packaging after
  • identify spare capacity/queue control
    intervention? (emergent from TOC observations)
  • Why? - Tangible gains build interest/cooperation
  • Karvonen, S., et al., Productivity improvement
    in heart surgery - a case study on care process
    development. Production Planning Control, 2004,
    Vol. 15, 238

12
Who, What, When, Where, How.
  • Gain Basic Knowledge of the Process
  • Is an Entry Level Analysis
  • Technical ordering
  • Production Flow Analysis
  • Locus of decision/activation
  • Who currently does it (actors)
  • Where
  • Timing
  • When/how often
  • Conditions under which taken
  • Situations/pressures
  • Limitations/ constraints
  • Data (and quality)
  • Objectives of activities
  • Process physics

13
Data Collection
  • existing records where available
  • activity sampling
  • structured interviews
  • critical incident technique

14
Process Times
  • Whats the underlying distribution?
  • Gamma
  • Seung-Chul, K., et al., Flexible bed allocation
    and performance in the intensive care unit.
    Journal of Operations Management, 2000, Vol.
    18(4), 427.
  • Lognormal
  • Spangler, W., et al., Estimating Procedure Times
    for Surgeries by Determining Location Parameters
    for the Lognormal Model. Health Care Management
    Science, 2004, Vol. 7(2), 97.
  • Conclusion Are definitely Skewed
  • Few very short
  • Many in central region
  • Few very long
  • Many questions not answered
  • Eg how much variation lies on a predicted value
  • Possibilities for reducing error ranges

15
Process Times
  • How do you Predict it
  • Factors to Consider
  • The procedure
  • The Surgeon
  • Training
  • What are its Constituent Parts
  • Set-up
  • Preparation
  • Anaesthesia
  • Operation
  • Recovery

16
Variability
  • Variability underlies WIP Hopp and Spearman,
    Factory Physics
  • i.e. patient queues
  • Demand Uncertainties
  • Process Times
  • Predicted vs. Actual
  • Analogy reverse manufacturing /disassembly
  • Changeover Time
  • Shingo, Non-stock Production
  • Monden, The Toyota Production System
  • Variability as a Source of Waste (7 forms of
    waste etc )
  • Smooth Flow
  • as a Virtuous Circle
  • How Achievable? more in the aspiration than in
    reality?
  • Neglected?
  • Variety Urgency

17
Flow (TOC)
  • Patient flow
  • What are the Resources
  • What are the activity Sequences
  • What are their volumes and capacities
  • Which are Constraining
  • Are they Static/Dynamic
  • Discrete/continuous

18
Setups
  • Magnitude
  • Potential for capacity-making
  • Structure
  • Set-up
  • Preparation
  • Are Setups Sequence Dependant?
  • What Causes the Dependancy
  • Can Setup Time be Reduced?
  • What Parts are External and Internal

19
Longer Term
  • highly speculative

20
Karvonen et al (2004)
  • Very specific opportunity for research
    collaboration
  • Mix of socio and technical
  • Cross-dept
  • TOC (search)
  • Process flow (PFA / Burbidge)
  • Bottleneck
  • Process Opportunity to make use of spare
    safety-stock capacity
  • Solution
  • Subordinate to this to the givens
  • Two-queue
  • Improve system
  • Organisation change
  • Tangible Result
  • Dramatic improvement in queue length
  • improvement in patient health outcomes not
    measurable
  • This was their outcome path specific to them

21
  • Missing-
  • Human decision-making process

22
Longer Term
  • Work Needs interpretational frameworks -
    conceptual

23
Work Domain Analysis (Goals and Players)
(Higgins/Vicente-Rasmussen)
Whole Parts
Purpose Physical
Abstraction Hierarchy
24
McKay 7-step process
25
Plan (Long-Term)Follow this route (Higgins)
Decision Ladder Activate Observe Identify Interpre
t Evaluate Task Process Implement
26
  • Open for ideas
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