Combining Lean, Middleware, and Targeted Automated Systems to ...

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... by applying lean technology to total laboratory operations. ... Group Technology .... OE 5 OE 4 OE 3. OE 2. C. H. EM. Walkin freezer. Manuals. Referral testing.
UNC HEALTH CARE SYSTEM

Combining Lean, Middleware, and Targeted Automated Systems to Unlock Lab Automation's Full Potential Case Study of a Large Medical Center’s Central Laboratory’s Journey to Automation Connie Bishop, MT(ASCP)SH Core Laboratory

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The Journey History Lean Six Sigma Automation Six Sigma

Lean

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UNC Healthcare Medical Center Campus • • • • •

UNCH Memorial Hospital UNCH Neuroscience Hospital UNCH Women’s Hospital UNCH Children’s Hospital UNCH Cancer Center

Chapel Hill/ Durham Western Carolina Eastern Carolina Southern Carolina Triad

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UNC HEALTH CARE SYSTEM

Consolidation Chemistry, Hematology, Coagulation, Blood Gas, Urinalysis, Specimen Processing, Customer Service, and Reference Testing consolidated from 1995-1997 with reduction of 35 FTE’s through attrition. 15 supervisor positions consolidated to 5. Consolidation process smooth resulting in one of first thriving consolidated medical center laboratories in the country.

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Why Lean From 1995 to 2007 instrumentation in laboratory expanded from 8 large analyzers to 15.

Workload increased from 1.8 million tests in 1994 to 4.9 million in 2007 with no additional FTE’s or space. Desire to identify potential efficiencies in current state by applying lean technology to total laboratory operations.

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Implementation of Lean-2007

A fanatical devotion to the elimination of waste and non-value added activities.

The integration of the factors of production including: People, Materials and Machines into a system of data driven and well designed work units that deliver what the customer needs when it is needed the right way the first time.

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Tools and Data to Shape the Future State DATA

DESIGN

Activity of the Product

Cellular Layout

Activity of the Operator

Standard Work (Job Guidance)

Group Technology

Performance Measures

=

Lean Future State

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Tools and Data to Shape the Future State DATA

DESIGN

Activity of the Product

Cellular Layout

Activity of the Operator

Standard Work (Job Guidance)

= 1

Group Technology

Lean Future State

Performance Measures

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Tools and Data to Shape the Future State DATA

DESIGN

Activity of the Product

Cellular Layout

Activity of the Operator

Standard Work (Job Guidance)

Group Technology

Performance Measures

=

Lean Future State

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Potential Staffing Efficiencies Post-Lean

Standard Work Practices

Match Process Cycle Times to Reflect Workload

Redistribute Staffing Assignments to More Closely Match Workflow Patterns

Level Individual Workloads

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Match Process Cycle Times to Reflect Workload

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Redistribute Staffing Time of Day to More Assignments Closely Match Workflow Patterns

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15

13

11

9

7

5

3

400 300 200 100 0 1

Standard Work Practices

Number of Specimens

UNC HEALTH CARE SYSTEM

Potential Staffing Efficiencies Post-Lean Assessment of Hourly Specimen Workload

Level Individual Workloads

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UNC HEALTH CARE SYSTEM

Potential Staffing Efficiencies Post-Lean

Pre-Lean Configuration 2 stat processors Standard Work 3 routine order entry Practices 1 aliquoter 1 rover Match Process Cycle Times to Reflect Workload

Post Lean Configuration 5 order entry 1 aliquoter Redistribute Staffing 1 distributor Assignments to More Closely Match Workflow Patterns

Level Individual Workloads

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UNC HEALTH CARE SYSTEM

Current State Olympus

TOX/TDM

COAGULATION

Olympus

HEMATOLOGY

CHEMISTRY

IMMUNOASSAY

SPECIMEN PROCESSING

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ACL Tops

ACL Tops

Olympus

Olympus

Elecsys

UNC HEALTH CARE SYSTEM

Operator Walk Pattern: Future State

ADVIA

CELL ADVIA

Fusion

Fusion

Fusion

Elecsys

Specimen Processing OE 5 OE 4

OE 3

OE 2 OE 1 15

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Cora – Robot Delivery

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In-Lab Turnaround-Time (Received to Reported)

% Routine Results Reported Within Each Time Period 100.00%

90.00%

80.00%

70.00% K

60.00%

CBC APTT

50.00%

TRPT UA

40.00%

Cocaine

30.00%

20.00%

10.00%

0.00%

60 min

120 min 180 min 240 min

PRE-LEAN

60 min

120 min 180 min 240 min

POST-LEAN

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LABORATORY Six Sigma Project Stat Turn Around Times 2008 “HOW LOW CAN WE GO?”

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Processing Flowchart Measure Analyze

Specimen rec’d in Core tube station

Specimen picked up from tube station, placed in processing bucket

Different Specimen locations

Phleb draw Floor with barcode labels

ED

Req

If ED, match requisition to specimen

If req, verify labels with tubes & req

If from floor using a barcoded label & no req proceed to receipt verified

If Phleb draw, labels already attached, proceed to receipt verified

No req If no paper req record on ED log Specimen receipt verified into computer system Place in spec storage rack until orders arrive Specimen placed into processed rack

Aliquoter picks up specimen for Hem, Chem, Coag Hem Chem

Coag

Hematology Specimen

Chemistry Specimen

Coag Specimen

Specimen loaded onto robot for delivery to Hem area

Specimen loaded into Chem centrifuge for 5 min spin

Specimen loaded into Coag centrifuge for 5 min spin

Hem Tech picks up specimen

Specimen unloaded from centrifuge

Specimen unloaded from centrifuge

Aliquot needed Specimen moved to instrument rack Specimen aliquoted

If yes

If no Specimen loaded onto “Cora” delivery robot

Specimen delivered to Core Chem analyzer for analysis

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Chemistry Processing Original times vs 9/25 Pilot Improve Chemistry Comparison: Original Processing vs Pilot 9/25/08

7 6.4 6

6.3

5 4

4.5

Minutes

3.7

3.5 3 1.6

2 1.6 1

1.3 0.3

0 Order, label

Wait time

Centrifuge

Wait time

0.2 Cora to analyzer 9/25 Pilot

Original

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TAT's Evening 2008-2009 Hgb

Routine K

S

t p e

N

ov

9 -n 0 Ja

Stat K

M

ar

M

ay

Goal 90%

Routine Hgb's

Stat Hgb's

Ma r Ma y

ly u J

No v Ja n-0 9

M

ay

100 95 90 85 80 Ju ly Se pt

100 95 90 85 80

Ma y

% Within Limit

TAT's Evening 2008-2009 K % Within Limit

UNC HEALTH CARE SYSTEM

Evening TAT’s 2008-2009

Goal 90%

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Why Automate? Patient Safety Employee Safety Valuable Human Resource Utilization Future Growth

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Referral testing

Staff Offices

Manuals

Hematology

Hematology

Coagulation

CHEM

CHEM CHEM

UNC HEALTH CARE SYSTEM

Work Cell Design

Work Cell Coagulation

CHEM

Specimen Processing OE 5 OE 4

OE 3

Walkin freezer

OE 2 OE 1 23

Manuals

Hematology

Hematology

Coagulation

CHEM

CHEM CHEM

UNC HEALTH CARE SYSTEM

Core Laboratory May 2010: Work Cell Plus Automation

Work Cell Coagulation

CHEM

Specimen Processing OE 5 OE 4

OE 3

Walkin freezer

OE 2 OE 1 24

UNC HEALTH CARE SYSTEM

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Total System Design Four Multi-platform Chemistry Analyzers Automation Automation Controller Instrument Manager BioRad Unity Quality Control System

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UNC HEALTH CARE SYSTEM

Multi-Platform Chemistry Analyzer Integrated chemistry system - combines dry slide, wet chemistry and immunoassays. 10 open-channels/instrument.

7 UNCH user defined assays. methotrexate, free phenytoin, aldolase, urine total protein, propoxyphene, IGG-csf, ceruloplasm. Performs testing previously performed on 10 analyzers

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UNC HEALTH CARE SYSTEM

Automation Front End Processing, Specimen Transport, Specimen Storage Sample Entry/Exit Unit Centrifuges Decapper Aliquoter Recapper Specimen Sorter and Storage Sample Entry/Exit Unit

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UNC HEALTH CARE SYSTEM

Controller Brain of the automated system. Monitors all of the automated components. Contains test routing information for all tests performed on the chemistry analyzers. Monitors error codes. Sophisticated timing and rerouting programming.

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UNC HEALTH CARE SYSTEM

Instrument Manager Consolidates result verification for all chemistry analyzers. Allows development of customized result verification for individual analytes based upon result and interference levels (degree of hemolysis, icteria, lipemia. Provides flexibility in managing and organizing results by specimen information: priority, location, tests.

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UNC HEALTH CARE SYSTEM

Biorad Unity Quality Control Data Management System Software interfaced with Instrument Manager. Handles approximately 800 quality controls results daily. Offers flexibility in managing and reviewing results.

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Highlights of GO-LIVE!

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Pre-AutomationTurn Around Times

Post Automation Turn Around Times

1600

2000

1400

1800

800 600

Turn Around Time-Minutes N=3645

170

160

150

140

130

120

10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170

110

0 100

0

90

200 80

200

70

400

60

400

1000

50

600

1200

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800

1400

30

1000

1600

20

1200

10

# of Routine Potassiums

# Routine Potassiums

UNC HEALTH CARE SYSTEM

In-Lab Turn Around Time Received to Reported

Turn Around Time-Minutes N=3706

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Routine and Stat Turn Around Times

Dry Slides

Troponin

Routine

37 minutes

48 minutes

Stat -enGen

30 minutes

41 minutes

Stat Centrifuged 22 minutes Before Placed On enGen

34 minutes

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UNC HEALTH CARE SYSTEM

Automation Outcomes Improved laboratory test turn around times. Focused highly skilled technologist resource on test interpretation and problem solving. Improved patient safety due to bar-coded specimen aliquots. Improved employee safety due to less exposure to patient specimens. Reallocated technologists to other growth areas of laboratory.

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Improvement Activities are Continuous Specimen processing optimized: centrifuge batch size customized to workload, centrifuge specimen wait time decreased. Specimen routing further customized for UNCH samples. Instrument manager redesigned for UNCH dashboard. Ortho inventory management system implemented.

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UNC HEALTH CARE SYSTEM

Inventory Management System Remotely monitors reagent usage via e-connectivity. Projects reagent order based upon usage patterns and minimal stock levels. Levels reagent usage from month to month. Provides management tools for budget review. Coordinated with in-house developed instrument loading programs.

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PERFORMANCE

UNC HEALTH CARE SYSTEM

Goal - Establish A Baseline Without stable and standardized processes, you cannot have sustainable improvement STANDARDIZATION INITIAL LEAN PROJECT

STD

STANDARDIZATION TRADITION

TIME Steve Friedland-Ortho Diagnostics

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UNC HEALTH CARE SYSTEM

Core Laboratory Green Belt Project Redesign of specimen processing AFTER Automation

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FREQUENCY DATA BY SHIFT Plot and Analyze Frequency Data – Box plots Arrival to Receipt in SCC BY SHIFT

100

80

60

Minutes

UNC HEALTH CARE SYSTEM

MEASURE

40

20

0 Days

Evenings By Shift

Midnight

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UNC HEALTH CARE SYSTEM

ANALYZE

Verify Root Cause: No FIFO vs. FIFO

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UNC HEALTH CARE SYSTEM

ANALYZE

Manual vs. Automation

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IMPROVE

IMPROVEMENT NOTED BY SHIFT BEFORE & AFTER THE PILOT p value

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