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C3: Efficient Emergency Department Patient Intake and
Timely Inpatient Admissions
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Kirk Jensen, MD, MBA, FACEPJody Crane, MD, MBA, FACEP
Kevin Nolan, MA
Objectives for the Session
• Describe methods for efficient patient intakeDescribe methods for efficient patient intake• Identify ideas on how the ED can assist with
timely admissions to inpatient units
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA 22
Thinking About Flow
Optimizing Patient Intake and Throughput:Segmenting Patient Flow Into Incoming
Patient Streams…
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA3
The view from the gurney up:“Vertical” vs. “Horizontal” Patients
• Horizontal Patients─ Stretcher bound
• Vertical Patients─ Ambulatory
─ Ambulance Arrival─ Sick─ Older─ Perceived serious or life-
threatening Condition─ Value (Traditional
Healthcare)
─ Arrive by Triage─ Well─ Younger─ Perceived urgency or
convenience factor─ Value (Starbucks or
McDonalds)
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
SpeedSafety Preservation of Life/Limb
SpeedConvenienceFinancialOther non-medical factors
4
Segmenting ED Patient Flow
Minor Urgent Care
Peds/Med/Surg
Dx/Rx
Complicated medical pts Critical Care
d TUrgent Care Dx/Rx
Probable discharge
Dx/Rx
Possible admission
and Trauma
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Fast Track Main ED Main ED/CDU
Critical Care Unit
5
Patient Segmentation by Acuity
ESI 5-Level TriageESI 5 Level Triage System:
• Easy• Highly Reliable• Allows for quick
patient
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
psegmentation
6
Emergency Severity Index (ESI) and Patient Acuity
Degree of Acuity Level of Acuity Patient Condition/Description
High LEVEL 1 EMERGENT Patients in this category require immediate attention with maximal utilization of resources to prevent loss of life, limb, or eyesight.
LEVEL 2 URGENT Patients in this category should be seen by a physician because of high risk for rapid deterioration, loss of life, limb, or eyesight if treatment or interventions are delayed.
Medium LEVEL 3 ACUTE Patients who develop a sudden illness or injury within 24-48 hours. Symptoms and risk factors for serious disease do not indicate a likelihood of rapid deterioration in the near future.
Low LEVEL 4 ROUTINE Patients with chronic complaints, medical maintenance, or medical conditions posing no threat to loss of life, limb, or eyesight..
LEVEL 5 ROUTINE Patients in this category are currently stable and require no resources such as labs or x-ray.
7
Triage
Segmenting Your ED’s Patient Flow into Incoming Patient Streams
Brief RN Assessment:ESI Evaluation / Evaluation of Acuity
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Low AcuityPathway
ESI Levels 5, 4,+ some 3s
Moderate AcuityPathway
Most ESI Level 3s
High AcuityPathway
ESI Levels 1 + 2
8
Keep Your Vertical Patients Vertical and Moving
Treat andRelease
Patients enterintake area
Patient IntakeArea
Release
ResultsWaiting
Area
-Results Back-TreatmentComplete
-Discharge-Focused -Triage Orders
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
FocusedEvaluation and
Treatment-Move to results
waiting area.
g-Dx/Rx Protocols-MLP in Triage-MD in Triage-Super-Track -Fast-Track-Team Triage
9
Alaska Airlines-Reengineering Flow
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA10
Optimizing your Fast Track
The role of the Fast Track is to segment and serve those patients that are uncomplicated or relatively easy to treat. The Fast Track is not a casual add-on or an overflow unit.
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA11
Optimizing your Fast Track
• Many inefficient Fast Tracks have multiple handoffsresulting in queues and too sick patients in FT tying up bedsresulting in queues and too sick patients in FT tying up beds
• Key tactics:─ Optimize and maximize patient selection─ Match hours of operation to patient demand─ Optimize space and capacity
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
─ The right clinical mix of providers and productivity
12
Super Track
A “Super” Fast Entrance/Exit1 MD/PATrack located in or
near triage for the purpose of promptly treating patients who require very low resource utilization
Treatment Room 1
Treatment Room 2
1 MD/PA1 Nurse1 Tech
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Room 1 Room 2
Procedure Chair
Results Waiting
13 Courtesy of Jody Crane, MD, MBA
Projected Hourly VolumesHour Average Patient Arrivals by Hour based on Annual Volumes
10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000 100,000 110,000 120,0000:00 0.32 0.65 0.97 1.29 1.61 1.94 2.26 2.58 2.91 3.23 3.55 3.871:00 0.24 0.48 0.71 0.95 1.19 1.43 1.66 1.90 2.14 2.38 2.62 2.852:00 0.18 0.35 0.53 0.70 0.88 1.05 1.23 1.40 1.58 1.75 1.93 2.103:00 0.17 0.34 0.50 0.67 0.84 1.01 1.18 1.34 1.51 1.68 1.85 2.024:00 0.18 0.35 0.53 0.70 0.88 1.06 1.23 1.41 1.58 1.76 1.93 2.115:00 0.12 0.24 0.36 0.48 0.60 0.73 0.85 0.97 1.09 1.21 1.33 1.456:00 0.17 0.34 0.50 0.67 0.84 1.01 1.18 1.34 1.51 1.68 1.85 2.027:00 0.22 0.44 0.65 0.87 1.09 1.31 1.53 1.74 1.96 2.18 2.40 2.628 00 0 35 0 70 1 05 1 40 1 74 2 09 2 44 2 79 3 14 3 49 3 84 4 198:00 0.35 0.70 1.05 1.40 1.74 2.09 2.44 2.79 3.14 3.49 3.84 4.199:00 0.49 0.98 1.48 1.97 2.46 2.95 3.45 3.94 4.43 4.92 5.42 5.9110:00 0.61 1.21 1.82 2.43 3.03 3.64 4.25 4.86 5.46 6.07 6.68 7.2811:00 0.61 1.23 1.84 2.46 3.07 3.68 4.30 4.91 5.53 6.14 6.75 7.3712:00 0.67 1.34 2.01 2.68 3.35 4.03 4.70 5.37 6.04 6.71 7.38 8.0513:00 0.72 1.44 2.16 2.88 3.60 4.33 5.05 5.77 6.49 7.21 7.93 8.6514:00 0.60 1.19 1.79 2.38 2.98 3.57 4.17 4.76 5.36 5.95 6.55 7.1415:00 0.60 1.19 1.79 2.39 2.99 3.58 4.18 4.78 5.37 5.97 6.57 7.1716:00 0.51 1.02 1.53 2.04 2.55 3.06 3.57 4.08 4.59 5.10 5.61 6.1217:00 0.56 1.12 1.69 2.25 2.81 3.37 3.93 4.50 5.06 5.62 6.18 6.7418:00 0.67 1.33 2.00 2.66 3.33 3.99 4.66 5.32 5.99 6.65 7.32 7.9819:00 0.68 1.35 2.03 2.70 3.38 4.06 4.73 5.41 6.08 6.76 7.44 8.1120:00 0.73 1.47 2.20 2.93 3.67 4.40 5.14 5.87 6.60 7.34 8.07 8.8021:00 0.62 1.24 1.86 2.48 3.11 3.73 4.35 4.97 5.59 6.21 6.83 7.4522:00 0 52 1 04 1 56 2 08 2 61 3 13 3 65 4 17 4 69 5 21 5 73 6 25
© 2007, Jody Crane, MD, MBA14
22:00 0.52 1.04 1.56 2.08 2.61 3.13 3.65 4.17 4.69 5.21 5.73 6.2523:00 0.44 0.87 1.31 1.75 2.18 2.62 3.06 3.49 3.93 4.37 4.80 5.24
= 1 provider 3 bed Super Track seeing between 1.32 and 2.00 pts/hr= 2 provider 6 bed Super Track seeing between 2.00 and 4.00 pts/hr= 3 provider 9 bed Super Track seeing between 4.00 and 6.00 pts/hr= 4 provider 12 bed Super Track seeing between 6.00 and 8.00 pts/hr= 5 provider 15 bed Super Track seeing between 8.00 and 10.00 pts/hr
ESI DistributionChange on this
page onlyLevel I 0%Level 2 10%Level 3 50%Level 4 35%Level 5 5%
Level 3 pot FT 5%© Jody Crane, MD, MBA 2007
Please enter the target MD/PA/NP productivity
2.00 pts/hr
Projecting Utilization: SUPER TRACK14
“Team Triage”*
Team of providers utilizing an “intake team” mentality for
Quick Look Quick Reg
Quickteam mentality for promptly assessing, treating, and discharging level 3 patients
2 Providers (MD/PA),2 RN,1 Paramedic2 Scribes, 1PSR/HUC
Quick Triage
*Mary Washington Hospital design TreatmentArea
5 Rooms
Results Waiting
15 Courtesy of Jody Crane, MD, MBA
Patient Intake
Virtual Beds
Patient Intake
Treatment
Teams 1,2,4
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
, ,
Final Patient Segmentation Step
16
Projected Hourly VolumesHour Average Patient Arrivals by Hour based on Annual Volumes
10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000 100,000 110,000 120,0000:00 0.73 1.45 2.18 2.91 3.63 4.36 5.08 5.81 6.54 7.26 7.99 8.721:00 0.53 1.07 1.60 2.14 2.67 3.21 3.74 4.28 4.81 5.35 5.88 6.422:00 0.39 0.79 1.18 1.58 1.97 2.36 2.76 3.15 3.55 3.94 4.33 4.733:00 0.38 0.76 1.13 1.51 1.89 2.27 2.65 3.03 3.40 3.78 4.16 4.544:00 0.40 0.79 1.19 1.58 1.98 2.37 2.77 3.17 3.56 3.96 4.35 4.755:00 0.27 0.54 0.82 1.09 1.36 1.63 1.91 2.18 2.45 2.72 2.99 3.276:00 0.38 0.76 1.13 1.51 1.89 2.27 2.65 3.03 3.40 3.78 4.16 4.547:00 0.49 0.98 1.47 1.96 2.45 2.94 3.43 3.92 4.42 4.91 5.40 5.898:00 0.78 1.57 2.35 3.14 3.92 4.71 5.49 6.28 7.06 7.85 8.63 9.429:00 1 11 2 22 3 32 4 43 5 54 6 65 7 75 8 86 9 97 11 08 12 19 13 299:00 1.11 2.22 3.32 4.43 5.54 6.65 7.75 8.86 9.97 11.08 12.19 13.2910:00 1.37 2.73 4.10 5.46 6.83 8.19 9.56 10.93 12.29 13.66 15.02 16.3911:00 1.38 2.76 4.14 5.53 6.91 8.29 9.67 11.05 12.43 13.82 15.20 16.5812:00 1.51 3.02 4.53 6.04 7.55 9.06 10.57 12.08 13.59 15.10 16.61 18.1213:00 1.62 3.24 4.87 6.49 8.11 9.73 11.35 12.98 14.60 16.22 17.84 19.4714:00 1.34 2.68 4.02 5.36 6.69 8.03 9.37 10.71 12.05 13.39 14.73 16.0715:00 1.34 2.69 4.03 5.37 6.72 8.06 9.41 10.75 12.09 13.44 14.78 16.1216:00 1.15 2.29 3.44 4.59 5.74 6.88 8.03 9.18 10.33 11.47 12.62 13.7717:00 1.26 2.53 3.79 5.06 6.32 7.59 8.85 10.12 11.38 12.64 13.91 15.1718:00 1.50 2.99 4.49 5.99 7.49 8.98 10.48 11.98 13.47 14.97 16.47 17.9619:00 1.52 3.04 4.56 6.08 7.60 9.12 10.65 12.17 13.69 15.21 16.73 18.2520:00 1.65 3.30 4.95 6.60 8.25 9.90 11.55 13.20 14.86 16.51 18.16 19.8121:00 1.40 2.79 4.19 5.59 6.99 8.38 9.78 11.18 12.58 13.97 15.37 16.7722:00 1.17 2.35 3.52 4.69 5.86 7.04 8.21 9.38 10.55 11.73 12.90 14.0723:00 0.98 1.97 2.95 3.93 4.91 5.90 6.88 7.86 8.84 9.83 10.81 11.79
17
ESI Distribution
Change on this
page onlyLevel I 0%Level 2 10%Level 3 50%Level 4 35%Level 5 5%
Level 3 pot FT 5%
Please enter the target team 1 MD, 1 MLP, 2RN, + Support
6.00 pts/hr
= 1/2 Team*1MD,1RN ED Volume Between 3.96 and 6.00 pts/hr= 1 team ED Volume Between 6.00 and 12.00 pts/hr= 2 teams ED Volume Between 12.00 and 18.00 pts/hr= 3 teams ED Volume Between 18.00 and 24.00 pts/hr= 4 teams ED Volume Between 24.00 and 30.00 pts/hr*Team = 1 MD, 1 MLP, 2 RN, 1 Paramedic or tech, 1 Unit coordinator, 1 Patient Liasion, 2 Scribes*Team = 5 intake beds, 7-8 treatment beds
© 2007, Jody Crane, MD, MBA17
Projecting Utilization: INTAKE TEAM
MediCorp Health System ED Improvement Journey
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA18
Mary Washington Hospital
• Working on advanced methods of patient i t k i 2002intake since 2002
• Using and pioneering approaches employing Lean in the ED
• Have learned a lot about what drives ED throughput
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
throughput• Lead by a team of front-line workers
engaged in problem solving
6'-3/8"
42 43 46
Lab -Phlebotomy
Waiting Room
TriageReception
RME 2004 -2006Results Waiting
-8 7
/8"
6'-5 5/8"
2'-8
7/8
"
6'-5 5/8"
2'-8
7/8
"
6'-5 5/8"
2'-8
7/8
"
6'-5 5/8"
2'-8
7/8
"
6'-5 5/8"
13'-3
"
42 43 44 4645
49
48
47
23
24
2526
OR 1
50
OR 2OR 3
OR 4
TR 8
TR 7
TR 5
TR 6
27
39
38
37
36
35
41
40Peds WR
Rainbow
Rad Room RME Team
PA Team
Main ED
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
2'-8
7/8
"
6'-5 5/8"
2'
TR 9
16 15 14
13
12
10
11
18
19
20
21
22
28
29
31 30 17
32
33
35
34
Rainbow Room
(Internal Waiting)
MD Team
Results Waiting
Super TrackPivot
Mini Triage
Intake Teams 2007- Current
Patient IntakeTreatment
Main ED
Mini Triage
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Emergency Streaming
RN
15-20%Super Track
ESI 4-5
50 60%
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
20-30%Main EDESI 1-3
50-60%Intake/PODs
ESI 3
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Super Track Process Flow
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Today….
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Intake Process Flow
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
RATED Implementation• “Leaned” the
process─Visual Management
with color coding─Point of use supplies─Rapid Changeover─Reduced Staff
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Movement─Reduced Variation─Designed to meet
takt time
1Results Waiting
6
3
2
4
5
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
4
Lab
9
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
9
PODs
• Implemented 02/09 ti i t d 10%anticipated 10%
volume drop w/ SHC opening─Dropped 1MD and 2
PA shifts per Day
/8"
2'-8
7/8
"2'
-8 7
/8"
2'-8
7/8
"2'
-8 7
/8"
2'-8
7/8
"
13'-3
"
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
(28 hours)─Decreased RN Staff
by 15%─Closed 10% of
Rooms
2'-8
7/
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Waiting
Peds Waiting
TreatBays
Lab
Stafford Medical
Center ED(Feb 2009)
Area
WaitingArea
Triage(4)
Intake
RWArea
Main ED
y(4)
Rad/CT
Area
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA© 2009, Jody Crane, MD, MBA
Rec/Quick
Security
14 beds 1 Trauma bay
EntranceWalk-in
SquadEntrance
33
Waiting
Peds Waiting
TreatBays
Lab
STARS
Stafford Medical
Center ED(Feb 2009)
Area
WaitingArea
Triage(4)
Intake
RWArea
Main ED
y(4)
Rad/CT
Area
STARSStrategic Triage, Assessment and Rapid Service
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA© 2009, Jody Crane, MD, MBA
Rec/Quick
Security
14 beds 1 Trauma bay
EntranceWalk-in
SquadEntrance
34
Triage(4)
Intake
RWArea
TreatBays(4)
ESI 4,5
Stafford Medical
Center ED(Feb 2009)
Intake
ESI 2,3
ESI 1,2
Admit
DischargeESI 2-5
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA© 2009, Jody Crane, MD, MBA
EntranceRec/
Quick
Discharge
35
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA© 2009, Jody 37
Admissions from the Emergency Department
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA38
You are not the only one interestedin this subject - JCAHO
Leadership Standard (LD 3.15)p ( )“The leaders develop and implement plans to identify and mitigate impediments to efficient patient flow throughout the hospital.”
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA39
JCAHO Scott Altman, MD, MBA
EDs, Admissions and Hospital Wide Patient Flow
Patient StreamsDirectAdmit
Admissions
Inpatient
Discharges
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA40
What we would like to see…
T i
Admission
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Triage
41
ED
- ED MD and Admitting MD
Timing
- D/C paperwork not signed or
Physical Bed Issues
- No Physical bedsAncillary
T t
Bed Availability
The Admission Value Stream Analysis:Trouble begins where trouble begins…
ED MD and Admitting MD Communication
- ED Shift Change
- ED Treatment not yet complete
D/C paperwork not signed or completed by MD
- Lack of inpatient unit staffing
- Multiple admissions
- Inpatient unit shift change
No Physical beds
- Room Availability
- Nurse busy and did not communicate to housekeeping
- Bed not clean
Results
- Test Results
- Waiting lab work started in ED
D/C Delays
- Waiting patient RN writes D/C instructions
- Pt not left inpatient unit bed
C ll d i ll f /C
- Transport
Other
-Calls to and from ED and Inpatient units
- MD & House Supervisor Communication
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
- Call admin on-call for D/C
-Complete ED Treatment -Lab work -Transport -Staff change -Doc Dictate -Staffing (RN to bed ratio) -Rm Availability (pt not left, no bed to put in, bed not clean) -Bad timing for multiple admissions
ED to Nursing Unit Delays
42
Accelerating ED Admissions
There isn’t oneThere isn t one magic bullet…
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
There is a portfolio of effective strategies…
43
A Robust Portfolio of High Leverage Admission Strategies and Tactics
• “Connect” the ED to the rest of the Hospital
• A Hospitalist ProgramAn Engaged Medical Staffp
• A “Lean” Admission Process• Staffing to Demand• A Demand/Capacity Prediction
and Management Process• A Bed Czar/Patient Flow
CoordinatorA B d T ki S t
• An Engaged Medical Staff• Service Line Optimization• Specialized Units or Services• Flexible Units/Flexible Staff• A Diversion Plan• A Saturation Plan• Effective Case Management
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
• A Bed Tracking System• Bed Board Rounds/Huddles• Multidisciplinary Rounds
Effective Case Management • Adopt a Boarder• Smoothing Surgical Flow• Coordinating
Admissions/Discharges
44
Emergency Department Admissions:Emergency Department Admissions:
Focusing on actions within the control and influence of your
Emergency Department Team…
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
g y p
45
ED Admissions - Some Initial Activities
1. Define the magnitude of your admission problem/opportunity
2. Flow Chart the ED admission process
3. Collect data on the reasons for admission delays
4 Understand historical admissions from the ED
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
4. Understand historical admissions from the ED on average by day of week, time period of the day (e.g. before 1pm) and unit (e.g. ICU)
46
ICU Tele M/S Units
Mon Before 1PM
After 1PM
Tues Before 1PM
Admissions from the ED
Tues Before 1PM
After 1PM
Wed Before 1PM
After 1PM
Thurs Before 1PM
After 1PM
Fri Before 1PM
After 1PM
.
.
Real Time Identification and Communication of Potential Admissions from the ED
1. Have up-to-date information on ED patient status visible on a white board or electronic system in the ED
2. Establish ED board rounds (when, who) to review patient status
3. Based on ED board rounds, predict admissions for the next 4 hours
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
4. Communicate to patient placement when a decision is made in the ED to admit a patient
5. Communicate ED admission predictions to patient placement
48
Critical Tactical Initiatives to Optimize ED Patient Flow
Improving ED Patient Flow Priority Start DateOptimize and maximize Patient Intake
OOptimize your Fast track
ED Bed capacity and utilization
Leverage your clinical talent and time
Maximize your bed turns
Teamwork and Culture
Minimize your boarding burden
Accelerate your Admissions Process
49
You and your Emergency Department
are the ultimate reality show
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
ultimate reality show…
50
Take a look at your ED:
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Take a look at your ED:-Get passionate…-Get serious…-Get it done…
51
You can do this…
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
Courtesy Mike Williams, The ABARIS Group
52
References
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA53
Resources: Improving Patient Flow in the Emergency Department-A nice overview-easy to read and comprehend
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA54
References• Fitzsimmons J., and M. Fitzsimmons. 2006. Service Management: Operations, Strategy, Information
Technology. 5th ed. Boston: McGraw-Hill.• Goldratt, E. 1986. The Goal. Great Barrington: North River Press.• Institute for Healthcare Improvement (IHI). Optimizing Patient Flow: Moving Patients SmoothlyInstitute for Healthcare Improvement (IHI). Optimizing Patient Flow: Moving Patients Smoothly
Through Acute Care Settings. Innovation Series 2003. “Bursting at the Seams: 2004. Improving Patient Flow to Help America’s Emergency Departments.” Urgent Matters Learning Network Whitepaper. www.gwhealthpolicy.org accessed September 17, 2005.
• Building the Clockwork ED: Best Practices for Eliminating Bottlenecks and Delays in the ED. HWorks. An Advisory Board Company. Washington D.C. 2000.
• Bazarian J. J., and S. M. Schneider, et al. Do Admitted Patients Held in the Emergency Department Impair Throughput of Treat and Release Patients? Acad Emerg Med. 1996; 3(12): 1113-1118.
• Full Capacity Protocol. www.viccellio.com/overcrowding.htm• Kelley, M.A. The Hospitalist: A New Medical Specialty. Ann Intern Med. 1999; 130:373-375.• Holland L L Smith et al 2005 “Reducing Laboratory Turnaround Time Outliers Can Reduce
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
• Holland, L., L. Smith, et al. 2005. Reducing Laboratory Turnaround Time Outliers Can Reduce Emergency Department Patient Length of Stay.” Am J Clin Pathol 125 (5): 672-674.
• Husk, G., and D. Waxman. 2004. “Using Data from Hospital Information Systems to Improve Emergency Department Care.” SAEM 11(11): 1237-1244.
• Christensen, Grossman, and Hwang,-The Innovator’s Prescription, 2009
55
References
Emergency Department Contributors to Ambulance Diversion: a Quantitative Analysis
Schull et elAnnals of Emergency Medicine 41:4 April 2003; 467-476
The Access Block Effect: Relationship between Delay to Reaching an Inpatient Bed and Inpatient Length of Stay
Richardson, DB Med J Australia 2002; 177:492
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA56
The Effect of Hospital Occupancy on Emergency Department Length of Stay and Patient Disposition
Acad Emerg Med 2003; 10: 127-133
References
• Derlet R, et al: Expectations of Patients Arriving in an Emergency Department.” Society for Academic Emergency Medicine Annual Meeting. Chi IL M 1998Chicago, IL, May, 1998.
• Thompson, et al. “How Accurate are Waiting Time Perceptions of Patient in the Emergency Department?” Ann Emerg Med, 1996(12).
• Hollingsworth J, et al. “How do Physicians and Nurses Spend Their Time in the Emergency Department?” Ann Emerg Med 1998(1):97-91.
• MacLean SL, Fong M, Desy P, et al:”2001 ENA National Benchmark Guide: Emergency Departments” Emergency Nurses Association: 2002.
• Manos et al. Inter-observer agreement using the Canadian Emergency
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
g g g yDepartment Triage and Acuity Scale. CJEM; 2002:16-22.
• Worster A, Gilboy N, Fernandes CM, Eitel D, Eva K, Geisler R, Tanabe P. Assessment of inter-observer reliability of two five -level triage and acuity randomized controlled trial. Can J Emerg Med 2004;6(4):240-5.
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References:The Psychology of Waiting
• Maister, D. (1985). The Psychology of Waiting Lines. In J. A. Czepiel, M. R. Solomon & C. F. Surprenant (Eds.), The Service encounter: managing employee/customer interaction in service businesses. Lexington, MA: D. C. Heath and Company, g p yLexington Books.
• Norman, D. A. (2008) -- The Psychology of Waiting Lines The PDF version is an excerpt from a draft chapter entitled "Sociable Design" for a new book-www.jnd.org/dn.mss/the_psychology_of_waiting_lines
• Norman, D. A. (2009). Designing waits that work. MIT Sloan Management Review, 50(4), 23-28.
© 2009 Kirk Jensen, MD, MBA, Jody Crane, MD, MBA, Kevin Nolan, MA
• Christine M. Meade, PHD, Julie Kennedy, RN, BSN, TNS, and Jay Kaplan, MD, FACEP-The Studer Group- JEM 2008
• Fitzsimmons J., and M. Fitzsimmons. 2006. Service Management: Operations, Strategy, Information Technology. 5th ed. Boston: McGraw-Hill.
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