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CRHE Bed Capacity Planning and Smoothing Using Computer Simulation on the OR Master Schedule Michael W. Carter Centre for Healthcare Operations Mechanical and Industrial Engineering University of Toronto

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  • CRHE

    Bed Capacity Planning and Smoothing Using Computer

    Simulation on the OR Master Schedule

    Michael W. CarterCentre for Healthcare Operations

    Mechanical and Industrial EngineeringUniversity of Toronto

  • Brief introduction Hospital bed capacity planning Operating room Master Surgery Scheduling

    2

    Outline

  • The Importance of Health Care

    Health care is North Americas largest single industry.

    Estimated total spending in Canada was $219 billion (CN) in 2015. ($2.9 trillion in the US)

    In Canada, in 2013, $4,569 US per person was spent on health care compared to $9,086 in US

    0

    1000

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    5000

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    7000

    0

    50

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    150

    200

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    $ pe

    r per

    son

    $ Bi

    llion

    sTotal $ $/Person

    Chart1

    22.3910

    26.31059

    30.81225

    341342

    36.71435

    39.81542

    43.31660

    46.81769

    511902

    56.12056

    612203

    66.32365

    69.82461

    71.62495

    73.12520

    74.12528

    74.72522

    78.42623

    83.72778

    89.92957

    97.93207.0433581092

    106.33451.2043776781

    1143663.9613717129

    1233899.7872285683

    130.34114.4419250561

    1414355

    1514630

    1604866

    1725162

    1825398

    1935659

    1995803

    2055902

    Total $

    $/Person

    $ Billions

    $ per person

    Sheet1

    Total $$/Person

    8022.3910

    8126.31059

    8230.81225

    83341342

    8436.71435

    8539.81542

    8643.31660

    8746.81769

    88511902

    8956.12056

    90612203

    9166.32365

    9269.82461

    9371.62495

    9473.12520

    9574.12528

    9674.72522

    9778.42623

    9883.72778

    9989.92957

    0097.93207.0433581092

    01106.33451.2043776781

    021143663.9613717129

    031233899.7872285683

    04130.34114.4419250561

    051414355

    061514630

    071604866

    081725162

    091825398

    101935659

    111995803

    122055902

    132095988

    142166000

    152196105

    Sheet2

  • International Trends

    OECD web site: www.oecd.org Dec. 2015

    0.0

    5.0

    10.0

    15.0

    20.0

    80 82 84 86 88 90 92 94 96 98 '00 '02 '04 '06 08 10 12 14

    Health Spending as a % GDP

    US

    Canada

    France

    Germany

    UK

    Netherlands

    Japan

    Mexico

    Belgium

  • CRHE Canadian Medicare (very brief)

    Providers are private. Govt pays for services (like US Medicare) Covered if:

    Medically necessary Done in a hospital Done by a doctor

    1990 Internationally recognized leader 2000 We had slipped significantly 2008 Major funding increases improving 2012 Major funding challenges!

  • 4 10 9 5 5 7 7 3 2 1 11 Quality Care

    Effective Care Safe

    Care Coordinated

    Care

    Patient-Centered Care

    2 9 8 7 5 4 11 10 3 1 5

    4 7 9 6 5 2 11 10 8 1 3

    3 10 2 6 7 9 11 5 4 1 7

    4 8 9 10 5 2 7 11 3 1 6

    5 8 10 7 3 6 11 9 2 1 4

    Access

    Cost-Related Problem

    Timeliness of Care

    8 9 11 2 4 7 6 4 2 1 9

    9 5 10 4 8 6 3 1 7 1 11

    6 11 10 4 2 7 8 9 1 3 5

    Efficiency 4 10 8 9 7 3 4 2 6 1 11

    Equity 5 9 7 4 8 10 6 1 2 2 11

    Healthy Lives 4 8 1 7 5 9 6 2 3 10 11 Health Expenditures/Capita, 2011**

    $3,800

    $4,522

    $4,118

    $4,495

    $5,099

    $3,182

    $5,669

    $3,925

    $5,643

    $3,405

    $8,508

    COUNTRY RANKINGS

    Top 2*

    Middle

    Bottom 2*

    OVERALL RANKING (2013)

    AUS CAN FRA GER NETH NZ NOR SWE SWIZ UK US

    Notes: * Includes ties. ** Expenditures shown in $US PPP (purchasing power parity); Australian $ data are from 2010. Source: Calculated by The Commonwealth Fund based on 2011 International Health Policy Survey of Sicker Adults; 2012 International Health Policy Survey of Primary Care Physicians; 2013 International Health Policy Survey; Commonwealth Fund National Scorecard 2011; World Health Organization; and Organization for Economic Cooperation and Development, OECD Health Data, 2013 (Paris: OECD, Nov. 2013).

    Commonwealth Report 2014

    COUNTRY RANKINGS

    (4109557732111Quality CareEffective Care Safe Care Coordinated CarePatient-Centered Care29875411103154796521110813310267911541748910527113165810736119214AccessCost-Related ProblemTimeliness of Care89112476421995104863171116111042789135Efficiency4108973426111Equity5974810612211Healthy Lives4817596231011Health Expenditures/Capita, 2011**$3,800$4,522$4,118$4,495$5,099$3,182$5,669$3,925$5,643$3,405$8,508)Top 2* Middle Bottom 2*

    OVERALL RANKING (2013)

    AUSCANFRAGERNETHNZ NORSWESWIZ UK US

    Notes: * Includes ties. ** Expenditures shown in $US PPP (purchasing power parity); Australian $ data are from 2010.

    Source: Calculated by The Commonwealth Fund based on 2011 International Health Policy Survey of Sicker Adults; 2012 International Health Policy Survey of Primary Care Physicians; 2013 International Health

    Policy Survey; Commonwealth Fund National Scorecard 2011; World Health Organization; and Organization for Economic Cooperation and Development, OECD Health Data, 2013 (Paris: OECD, Nov. 2013).

  • Background

    Master Surgical Schedule Revised every 6-12 months Block booking OR time Major driver of resource utilization downstream

    (PACU, ICU, beds) and upstream (wait lists). How can you manage the volumes? I will discuss two applications.

    7

  • CRHE

    Tian Mu Liu and Michael Carter

    Hospital Bed Capacity Planning

  • CRHEDevelopment of Bed Allocation Model

    9

    Model Objective To estimate the number of beds a hospital needs during a typical week in order to provide a given level of service

    We constructed a prototype: In-patient groups are categorized by: admission category,

    provider service, bed group A typical week includes 21 shifts (seven days a week and

    three shifts a day)

  • CRHEModel Overview

    Use one year of historical data Model surgical patients based on a typical full week

    OR schedule Model medical/emergent/urgent patients based on

    random historical arrivals We do not consider ward capacity; we tell you how

    many beds you need in each service We simulate several weeks, and find a range

    (confidence intervals) Separate LOS: ED (admitted), ICU, ward, ALC

  • CRHEED Bed Demand (Regina General)

    11

    Admitted patients Bed Blockers: 10-17 Bed demand peaks on weekday evenings (3-4 more)

    11 11 13 10 1216

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  • CRHEICU Bed Demand

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    Number of required SCU beds range: 55-63 Bed demand is relatively consistent throughout a week

    58 56 56 55 56 58 58 59 61 61 61 62 62 6263 63 63 63 61 59 59

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  • CRHEWard Bed Demand

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    Ward beds range: 344-370 Bed demand peaks on Thursday evening

    353 347 345 344 348 351354 359 361

    363 363 365 367 367 370 370 370 370 366 360 357

    310320330340350360370380390

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  • CRHEAverage Demand by Service

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    1 Infants2 Pregnancy & Childbirth3 Pediatrics4 Mental Health5 Surgical6 Medical

  • CRHE

    Balancing Demand

    By swapping blocks for a few surgeons, we can dramatically reduce the peaks in bed demand

    Tian has created an automated procedure Surgeons can be fixed in place

    15

  • CRHESurgical Ward and ICU beds

    16

  • CRHERevised OR schedule

    17

    Revised Shift Monday Tuesday Wednesday Thursday Friday

    OR 1 MorningPooler, Stephen Duane Meiers, Suzanne Tse, Edward T W Kaban, Gordie K Akinbiyi, Amos A

    AfternoonCuddington, Gordon W