meljun cortes telfer emergencyroom
TRANSCRIPT
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Case Study: THE EMERGENCY ROOM
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IntroductionThis case introduces the notion of the emergency room as a production site
The notion of demand/supply matching is a concept borrowed from supply-chain management that is being applied to hospital management in anumber of lean hospital projects
Before analyzing the data, students should discuss the following:
1. What constraints impinge on hospital management, especially as itrelates to the ER? (Note that this is another way of analyzing theexternal environment.) Close this discussion by showing how theiranalysis fits with a five-forces type of approach.
2. Generate a strategy map for the ER. In addition, what is the ultimateoutcome and what can one do to influence these outcomes?
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OverviewThe Emergency Room
Dr. Brownlee manages the emergency room (ER) at the BigTown Hospital (BTH),
Ontario.
On a recent vacation, he took time to speak number of doctors and administratorsin a newly created ER
hospital was privately run
it enjoyed a higher degree of operational flexibility
higher compensation for meeting certain treatment time targets
higher compensation for following treatment protocols
Same management practices adopted at BTH in early 2004 that were in line with
what he saw in the privately operated hospital in Italy
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Background Recent studies, both in the United States and in Canada, have suggested
that ER usage can be expected to increase.
U.S. study noted a rise of 18% in ER usage between 1993 and 2004
similar study in Ontario found a trend towards decreased visits closure of 20 ERs during the period under study
remaining ERs experienced an actual increase in traffic of approximately 10%
main challenges: escalation in demand
pressure to reduce the number of beds
Pressure to reduce wait times for specific surgeries
compete for staff in the face of a shrinking labour pool of physicians andnurses
Dr. Brownlee felt that the time was right to examine more carefully thebusiness model of an ER.
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The ER Business Model Main characteristic noted about ER operations - the careful approach
taken to developing and implementing a business model Focus needed on examining administrative aspects from a strategic
perspective
Italian administrators modeled the ER as a form of production system
Key elements included: Physical layout to allow for the efficient flow of patients, and The height of counters in the reception areas
Ensure that patients could maintain good eye contact with thereception staff
Reception staff could clearly view the body language of patientsentering the ER
Better communication meant more effective triage whichcontributed to reduced wait times
Health care in Canada is a public-sector service, therefore, there is not asmuch administrative freedom
There is scope for taking a systemic view that could help improve overall
efficiency and effectiveness
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Late 2003
Dr. Brownlee and his administrative team debated on the notion of abrokerage system
Key discussions
role of the administrative team role - matching demand and supply bylinking patients with certain types of symptoms to doctors with certaintypes of skills
Argument - the symptom-skill matching process did not matter for alarge majority of ER cases as ER is staffed mainly by general practitioners(any doctor would suffice)
some situations required specialists to be called in, so the matchingprocess was important in these instances (but not for all)
Result
the brokerage model would provide a good start for their evaluation andimprovement of ER management
The ER Business Model (contd)
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Core aspects of the system:
Outcome of the system patients whose issues have beenresolved (resolution could mean treated or referred)
Key outputs the number of patients treated in a certainperiod of time, and the cost of this throughput
Critical inputs material (medical and surgical supplies) andlabour
The ER Business Model (contd)
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Deep Dive - System Outcomes and Outputs
all patients were either treated or referred
Argument
the number of patients who returned with the same ailment andthose who gave up waiting and either went home or to anotherclinic should also be important metrics for the ER
Majority vote patients leaving without being seen occurred so rarely that this
aspect did not merit inclusion in the model for the time being
Not to be forgotten:
a strictly clinical approach to measuring system outcomes wouldbe inadequate
something about patient satisfaction should also be addressed Dr. Naismith (2nd in command) vocal about the need to consider patient
satisfaction
the number of patients who returned with the same ailment and thenumber of patients who left before being treated should be importantcomponents of the business model.
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Compromise:
throughput the interval of time from when a patient firstenters the ER to when he or she leaves was adopted as thekey output metric
separated into treatment time and wait time.
Rationale:
patient satisfaction mainly determined by wait time
treatment or how long it took was not often in question wait time would be used as a proxy for patient satisfaction
Deep Dive - System Outcomes and Outputs (contd)
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Budget
administrative team responsible for meeting the cost budget set by thehospital
doctors worked on a fee-for-service basis (billed to public healthinsurance) - this cost was not reflected in the hospitals budget.
cost of throughput included labour costs for nurses and administrativestaff and material costs which varied with each procedure
Overhead costs were more or less fixed
Other Considerations:
influence of ancillary services such as radiology
time spent in ancillary services influenced overall treatment time
impact of ancillary services on throughput would be more or lessconstant
given the low level of control on these services, it would be better toleave this aspect out of the model for now
Deep Dive - System Outcomes and Outputs (contd)
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Trading Floor
ER provided a trading floor where buyers (patients) could be linked to sellers(doctors and nurses)
The physical facilities represented the constraint on the system
The behaviours of the buyers and sellers within this constraint contributed toexpected outputs
Brokerage System effectiveness
Staff had to be recruited and trained
Materials (medical and surgical supplies) need to be coordinated so that thesewould be available when required
Key Factors Well-developed supply management system (very rarely stocked out)
Steady supply of health-care professionals
Administrative procedures for using this talent effectively
Deep Dive - System Inputs
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Base Year
It was decided to gather information on the
functioning of the ER using 2004 the year in
which the business model was first developed
Other information
severity of cases being handled and specific
procedures performed would be needed
a selection of measures
Deep Dive - System Inputs (contd)
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Severity
rating scale to define the severity of a patients condition was collapsed into thefollowing three categories:
Category 1 Urgent cases (life-threatening and close to life-threatening)
Category 2 Semi-urgent cases (serious but not life-threatening)
Category 3 Non-urgent cases
Procedures
The specific treatment codes used in the hospital were collapsed into the followingsix broad categories:
1. Trauma patients with injuries caused by external forces (accidents, fights,etc.)
2. Upper respiratory patients with problems related primarily to breathing3. Skin and gastrointestinal patients with skin or intestinal disorders
4. Signs and symptoms patients with unspecified signs and symptoms of adisorder
5. Cardiac: patients with heart problems
6. Psychological, endocrine and poison this category includes patients with
psychological problems, endocrine disorders or poison-related issues
Deep Dive - System Inputs (contd)
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1. Would a different physician staffing formula make a difference for waittimes, treatment times and costs? The current model is a contractormodel: independent doctors provide services to the hospital in addition torunning their own practices. Some ERs had made use of Alternate FundingArrangements to create a salaried group of doctors dedicated to the ER.*
2. The planned labour and material cost targets assumed that a specifictreatment protocol would be followed. Does it make sense to enforceprotocols or is it better to allow doctors to follow practices learned in theirown training and in their individual practices?
3. Does it make sense to exclude ancillary services from their businessmodel? Even if members of the administrative team do not have directcontrol over these services, they could, as a team within BTH, influencewhat goes on there.
4. What is the boundary of an ER? Is it really constrained by the physicallayout of the hospital? Are paramedics, for example, part of the ERteam?
Outstanding Questions
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Discussion PointsTime: 20 minutes each
Discussion 1:Patient satisfaction appears to be improving slightly (students can explorethe data here to verify).
What does patient satisfaction mean? Are Brownlee and his team measuring the right things? (Students can
explore the web to find definitions of patient satisfaction.)
Summary:
A wide variety of stakeholders with different needs influence ER
management (In Ontario, these are the Ministry of Health and LongTerm Care, the LHINs and, of course, doctors and patients)
Is it possible to satisfy all expectations?
Which should take priority?
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Discussion Points (contd)
Time: 20 minutes each
Discussion 2:
In 2004 and 2005, Brownlee tried to make a number of changes.
What changes are evident?
Students should explore to find out the changes that are relevant. Theidea of creating teams of doctor and leveling out the number ofprocedures each doctor performs is one of the main changesintroduced.
Summary:
In the hospital environment, what degrees of freedom exist in improvingefficiencies?
What are the constraints? Key questions:
Can one force treatment protocols on doctors?
Can one provide incentives for cost control?
Does the administrative team influence patient satisfaction?
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Conclusions The purpose of this case was to explore the notion of applying
different business models as a performance-managementframework in the health-care environment. There are severalkey things to consider:
First, to what extent can one apply production-type
business models to such an environment? Second, what are the key outcomes?
Third, who are the most important stakeholders?
The most likely responses for Brownlee are: to consider the constraints,
to continue to team the MDs
to review the treatment protocols