E.D. – T.V. A Simulation Capacity Analysis Jamey Koontz Baylor Health Care System

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E.D. – T.V.E.D. – T.V. A Simulation Capacity A Simulation Capacity

AnalysisAnalysis

Jamey KoontzJamey Koontz

Baylor Health Care SystemBaylor Health Care System

OverviewOverviewBaylor Health Care SystemBaylor Health Care SystemThe ModelThe Model

MethodologyMethodologyCurrent State DataCurrent State DataED LayoutED LayoutED FiguresED Figures

ResultsResultsOther Information - StaffingOther Information - Staffing

Baylor Health Care SystemBaylor Health Care SystemNon-Profit Health Care Non-Profit Health Care System in North TexasSystem in North Texas

14 Owned, Leased and 14 Owned, Leased and Affiliated HospitalsAffiliated Hospitals

1111thth Consecutive Year in Consecutive Year in U.S. News & World U.S. News & World Report’sReport’s “America’s Best “America’s Best Hospitals”Hospitals”

Celebrated 100Celebrated 100thth Anniversary Oct. 2003Anniversary Oct. 2003

Baylor Research InstituteBaylor Research Institute

93,324 Admissions93,324 Admissions

245,558 ED Visits245,558 ED Visits

495,645 OP Visits495,645 OP Visits

13,249 Babies Born13,249 Babies Born

2,587 Licensed Beds2,587 Licensed Beds

15,000 Employees15,000 Employees

3,300 Physicians3,300 Physicians

Baylor All Saints Baylor City View BUMC

Baylor Heart/Vascular Baylor Garland Baylor Grapevine

Baylor Irving Baylor Plano Baylor Waxahachie

Our Children’s House BSH BIR

MethodologyMethodologyA Process Flow Diagram was Developed with the Current A Process Flow Diagram was Developed with the Current ProcessProcess

Data was Obtained from the 2005 MedHost DatabaseData was Obtained from the 2005 MedHost DatabaseSeptember – October 2005September – October 2005

A 2005 Model was Developed as a Base ModelA 2005 Model was Developed as a Base Model

Scenarios Tested were Based off of Volume Projections and Scenarios Tested were Based off of Volume Projections and Future Assumptions and RenovationsFuture Assumptions and Renovations

Current State DataCurrent State Data20052005

BedsBedsMain ED: 15Main ED: 15

Trauma: 1Trauma: 1

Treatment Area 2: 6Treatment Area 2: 6

LWOT – 5% =LWOT – 5% =5 patients/day5 patients/day

Admits – 16.5% =Admits – 16.5% =18 patient/day 18 patient/day

Test Mix

60%

80%

27%

5%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Xray Lab CT Sono

Current State DataCurrent State Data20052005

Volume/Day

115

108105 106

99

103

115

90

95

100

105

110

115

120

Sunday Monday Tuesday Wednesday Thursday Friday Saturday

Arrival by Hour

1%

2%

1%1% 1% 1% 1%

1%1% 1%

1%1%

1%1% 1%

1%

1%

2%

2%3%3%

3%

3%

3%3%3%

3%3%

3%3%3%

3%3%

2%3%

3%3%

2%

3%3%

3%

3%

3%

3%3%

2%2%

2%

1%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

0.0 1.5 3.0 4.5 6.0 7.5 9.0 10.5

12.0

13.5

15.0

16.5

18.0

19.5

21.0

22.5

24.0

Hour of Day

Current State DataCurrent State Data20052005

Semi-Urgent

34.9%

Urgent

49.7%

Emergent

8.2% Imminent

0.3%

Non-Urgent

6.9%

LOS

3.32.8

2.3

4.34.4

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

Emergent Imminent Urgent Semi-Urgent Non-Urgent

Average LOS is 3.7

Hours

ED LayoutED Layout

ED FiguresED Figures

Patient

LWOT Patient

Emergent & Imminent

Patients

New Changes & New Changes & AssumptionsAssumptions

7.0 New Beds7.0 New Beds1.0 Trauma Bed1.0 Trauma Bed6.0 Main Beds6.0 Main Beds

Improve Triage Process Improve Triage Process Old Time – 5 minOld Time – 5 min New Time – 4 minNew Time – 4 min

Bedside Registration – allows for process to occur simultaneouslyBedside Registration – allows for process to occur simultaneously

CPOE/EMR – Reduce Patient Treatment TimeCPOE/EMR – Reduce Patient Treatment Time 2007 – 4.5%2007 – 4.5% 2008 – 10.0%2008 – 10.0% 2011 – 12.5%2011 – 12.5%

New Changes & New Changes & AssumptionsAssumptions

Lab POC TestingLab POC Testing Reduce TAT by 75%Reduce TAT by 75%

1.0 Additional Radiology Unit1.0 Additional Radiology Unit Reduce TAT by 75%Reduce TAT by 75%

1.0 Additional CT1.0 Additional CT Reduce TAT by 60%Reduce TAT by 60%

New Changes & New Changes & AssumptionsAssumptions

Will Gain 120 Inpatient Beds by FY10Will Gain 120 Inpatient Beds by FY10Reduce Admit Length of Stay up to 2 Reduce Admit Length of Stay up to 2 HoursHours Admit

LOS (hrs)IP Beds

2005 5.5 105

FY06 5.2 121

FY07 4.7 145

FY08 4.4 161

FY09 3.8 193

FY10 3.2 225

New Changes & New Changes & AssumptionsAssumptions

Future Fiscal YearFuture Fiscal Year

Volume Projections Volume Projections were Calculated as were Calculated as Follows:Follows:

2006 – 0%2006 – 0%

2007 – 2%2007 – 2%

2008 – 1%2008 – 1%

2009 – 4%2009 – 4%

2010 – 5%2010 – 5%

2011 – 5%2011 – 5%

2012 – 5%2012 – 5%

2013 – 5%2013 – 5%

2014 – 5%2014 – 5%

2015 – 5%2015 – 5%

2005

110

2007 2009 2015

154

107

115

Average Daily Volumes

2011

126

2013

139

ResultsResultsTrauma

Beds

Main

BedsHall Beds TA2 Beds

2005 Current 4.0 75% 80% 44% 35% 38% 5

FY 2007

All Changes,

4.5% CPOE

Reduction

3.8 55% 61% 5% 32% 37% 5

FY 2009

All Changes,

10% CPOE

Reduction

3.3 52% 56% 3% 32% 38% 4

FY 2011

All Changes,

12.5% CPOE

Reduction

3.0 51% 57% 4% 33% 40% 4

FY 2013

All Changes,

12.5% CPOE

Reduction

3.1 58% 62% 9% 37% 44% 4

FY 2015

All Changes,

12.5% CPOE

Reduction

3.1 62% 67% 18% 41% 49% 4

CT

Util.%

LWOT

(pts./day)Year Improvements LOS

Bed Utilization%

Other InformationOther Information

What Else Can You Do What Else Can You Do with All this Data??with All this Data??

BUMC Avg. Pt. Flow / NursingBUMC Avg. Pt. Flow / NursingBUMC Average Patient Flow by Hour June 2005

5.8

4.4

3.6

3.7

3.2

3.4 4.1 5.6 9

11.8

12.8

13.3

12.2

12.4

11.4

10.6

11.1

10.5

10.1

10.8

9.7

9 8.2

6.9

80

73

67

62

56 58 60

58

55

62

70

77

82

87

92 9

5 98

102

109

109

101

96

92

86

11.8

11.4

9.6

8.7

9.2

1.4 2.1

7.6

12

4.8

4.8 6.3 7.2

7.4

6.4 7.6 8.1

6.5

3.1

10.8

17.7

14

12.2

12.9

18

18

16

14

14

14

14

14

14

14

17

17

19

19

21

23

23

23

23

23

23

23

20

20

0

20

40

60

80

100

120

Hour

Avera

ge C

ou

nt

0

4

8

12

16

20

24

28

Arrivals

Census

Departures

Nurse Count

Nurse to Patient Ratio 1:4.3

Total Staff to Patient Ratio 1:2.7

GARLAND Avg. Pt. Flow / NursingGARLAND Avg. Pt. Flow / Nursing

0.0

10.0

20.0

30.0

40.0

50.0

60.0

0

2

4

6

8

10

12

14

16

5.2

3.7

3.7

3.2

2.2 3.2

3.3 4.2

7.5 8.2 9.1 1

0.9

9.6 1

0.8

9.8

8.4 9

.7 10

.1

9.9 10

.9

11

.3

8.9

7.2 8

.3

39

.0

33

.3

29

.6

25

.1

21

.5

19

.3

18

.6

19

.1

24

.8

30

.7

34

.5

39

.8 42

.6

47

.3 49

.9

49

.7

50

.8

52

.1

52

.1 53

.4

54

.2

51

.6

45

.9

42

.6

9.4

7.4 7.7

5.8

5.4

4.1

3.7

1.7 2.3 4

.2 5.7 6

.7

6.1 7

.2 8.6

8.6

8.8 9

.9

9.5 1

0.6

11

.5 12

.8

11

.7

10

.4

11

.6

11

.8

10

.4

9.2

7.7

7.4

10

.5

9.7

8.5 8.8

8.7 9

.2

10

.0 10

.5 11

.0 11

.6

12

.7 13

.1

14

.7

15

.8

13

.7

12

.4

11

.1

12

.0

ArrivalCensusDepartureNurse Count

Hour

Av

era

ge

Co

un

t

Nurse to Patient Ratio 1:3.5

Total Staff to Patient Ratio 1:2.9

ALL SAINTS Avg. Pt. Flow / NursingALL SAINTS Avg. Pt. Flow / NursingBASMC Average Patient Flow By Hour of Day Dec. 2005

2.6

1.9

1.7

1.7

0.8 1.1 1.6 2

.4

3.6 4.2

5.6

5.7 6.0

4.8

4.3

3.7

5.1

4.6

4.0 4.4

4.3

3.7

3.7

2.6

19.6

15.4

11.2

10.5

9.4

7.4

6.7 7

.7

10.4

13.1

16.6

20.8

23.2

25.7

25.8

25.4

24.9

24.4

27.2

26.5 2

7.8

26.1

26.0

22.8

2.3 2.9

2.5

2.1

1.8

1.4

1.5

0.9 1.1 1.3 2

.2

2.0

3.2

2.8 3.2

3.2 3.4 3.7 3.9

2.3

3.9

4.0

3.1 3.7

6 6 6

5 5 5 5

6 6

7 7 7

8 8 8

9 9 9 9 9 9

8 8

7

0.0

10.0

20.0

30.0

Hour

Avera

ge C

ou

nt

0

2

4

6

8

10

Arrivials

Census

Departures

Nurse Count

Nurse to Patient Ratio 1:2.6

Total Staff to Patient Ratio 1:2.1

Service AuditsService Audits

The Service Audit is used to assist in The Service Audit is used to assist in evaluating the level of service and evaluating the level of service and performance of the area. performance of the area.

It provides a standard of measurement It provides a standard of measurement and a means of determining areas and a means of determining areas where service needs to be improved.where service needs to be improved.

Service AuditsService AuditsExample QuestionsExample Questions

Do personnel report on duty to Do personnel report on duty to receive daily assignments? receive daily assignments?

Each shift routinely resolves Each shift routinely resolves discrepancies before leaving?discrepancies before leaving?

Is the chart signed by the nurse Is the chart signed by the nurse after completion?after completion?

Are test results placed with the Are test results placed with the E.D. record prior to discharge?E.D. record prior to discharge?

Have the vital signs been Have the vital signs been charted on ALL patients’ charted on ALL patients’ records with time?records with time?

I. ADMINISTRATIVE AND MANAGERIAL SERVICES YES NO N/A 1. Do personnel report on duty to receive daily assignments? ___ ___ ___ 2. Do personnel report off duty to nurses station? ___ ___ ___ 3. Is personnel appearance in accordance with uniform code? ___ ___ ___ 4. Do all personnel wear the hospital ID? ___ ___ ___ ADMINISTRATIVE & MANAGERIAL SERVICES TOTALS ___ ___ ___ %SCORE ____ II. MEDICATIONS 1. Is the narcotic control properly maintained with Pyxis? ___ ___ ___ 2. Each shift routinely resolves discrepancies before leaving. ___ ___ ___ MEDICATIONS TOTALS ___ ___ ___ %SCORE ____ III. CHARTING AND FORMS 1. Is the chart signed by the nurse after completion? ___ ___ ___

2. Is the "release of responsibility" form signed and on the chart of all patients refusing treatment? ___ ___ ___

3. Are all test results placed with the E.D. record prior to discharge? ___ ___ ___

(If no tests ordered, mark N/A.)

4. Have the vital signs ( WT for peds) been charted on all patients' records with time? ___ ___ ___

5. Is the E.D. record filled out completely and properly? ___ ___ ___

ED Modeling TipsED Modeling TipsWhat is the Problem?What is the Problem?

Capacity vs. StaffingCapacity vs. Staffing

Charge Acuity System vs. Urgency Acuity Charge Acuity System vs. Urgency Acuity ClassificationClassificationSimultaneous ProcessesSimultaneous ProcessesAncillary CapacityAncillary CapacityED Hold IssueED Hold IssueService AuditsService Audits

QuestionsQuestions

Jamey KoontzJamey Koontz

Sr. Management EngineerSr. Management Engineer

Baylor Health Care SystemBaylor Health Care System

JameyK@baylorhealth.eduJameyK@baylorhealth.edu