RE-ENGINEERED WORKFLOW IN THE AP LABORATORY: Costs and Benefits
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Transcript of RE-ENGINEERED WORKFLOW IN THE AP LABORATORY: Costs and Benefits
RE-ENGINEERED WORKFLOW IN THE AP LABORATORY:Costs and Benefits
Erin Grimm, MDRodney Schmidt, MD, Ph.D
University of Washington Medical CenterSeattle, WA
DisclosuresDisclosures
The UW-developed software The UW-developed software (PowerTrax and ePathImage) is (PowerTrax and ePathImage) is
licensed through the University of licensed through the University of Washington.Washington.
The speakers have no relationship The speakers have no relationship with IMPAC Medical Systems, with IMPAC Medical Systems,
owners of PowerPath, or any of the owners of PowerPath, or any of the other mentioned companies.other mentioned companies.
ObjectivesObjectives
1.1. Review current workflow in Anatomic Review current workflow in Anatomic Pathology and the need for changePathology and the need for change
2.2. The UW Anatomic Pathology Automation The UW Anatomic Pathology Automation Project Project
• A detailed look at each stepA detailed look at each step
3.3. Starting the automation processStarting the automation process• Building a business caseBuilding a business case
4.4. Questions for the futureQuestions for the future
The scope of the problemThe scope of the problem
Histology laboratory Histology laboratory workflow has not workflow has not changed in decadeschanged in decades
YetYet• Volumes increaseVolumes increase• Laboratories expandLaboratories expand
http://history.library.ucsf.edu/imagelib/med_sci_building_histology_lab_1959.gif
1959
Problem #1Problem #1
Inefficiencies exist that cause wasteInefficiencies exist that cause waste
Waste increases expenseWaste increases expense• Labor costsLabor costs• Poor resource utilizationPoor resource utilization
Problem #2Problem #2
Errors HappenErrors Happen
• Patient ID errors occur in APPatient ID errors occur in AP• 4.3 / 1000 surgical specimens4.3 / 1000 surgical specimens11
• 1.9 / 1000 amended reports1.9 / 1000 amended reports• 19.2% of amended reports were due to patient ID 19.2% of amended reports were due to patient ID
errorserrors22
1. Makary MA et al. Surgical specimen identification errors…. Surgery 2007 Apr;141(4):450-5 2. Nakhleh RE, et al. Amended reports … Q-probes study of 1,667,547 accessioned cases ...
Arch Pathol Lab Med. 1998 Apr;122(4):303-9.
Error ratesError Prevention
MethodsReal world Examples
1/100Clear process
Reliance on education/vigilance
Errors filling out lab requisition
Failure to give results to patients
Suboptimal specimen
1/1,000
Clear process
Systems for error identification and mitigation
Mislabeled specimens
1/10,000
1/100,000
Advanced design + Automation
Error ID/ mitigation
Specimen loss
Computer interface errors
Achievable Error RatesAchievable Error Rates
Resar RK. Making noncatastrophic health care processes more reliable... Health Serv Res. 2006; 41:1677-1689.
To go from
To go from
1/1,0001/1,0001/10,000
1/10,000
requires automation
requires automation
A DilemmaA Dilemma
40,000 surgical cases / yr 40,000 surgical cases / yr
24 care problems / yr24 care problems / yr (> 2 cases/month)(> 2 cases/month)
400 erroneous surgical cases / yr 400 erroneous surgical cases / yr
1% are erroneous1% are erroneous
6% inappropriate care 6% inappropriate care
What if 1% of tests were errors and What if 1% of tests were errors and 6% of the errors led to inappropriate care?6% of the errors led to inappropriate care?
ObjectivesObjectives
1.1. Review current workflow in Anatomic Review current workflow in Anatomic Pathology and the need for changePathology and the need for change
2.2. The UW Anatomic Pathology Automation The UW Anatomic Pathology Automation Project Project
• A detailed look at each stepA detailed look at each step
3.3. Starting the automation processStarting the automation process• Building a business caseBuilding a business case
4.4. Questions for the futureQuestions for the future
UWMC PathologyUWMC Pathology
• 178 Faculty Members 178 Faculty Members • 40 faculty with clinical 40 faculty with clinical
dutiesduties
• 29 Residents and 29 Residents and Clinical Fellows Clinical Fellows
• 35 Graduate 35 Graduate Students Students
• $32 million in NIH $32 million in NIH grants (2006)grants (2006)
A complex academic environment with:A complex academic environment with:• >36,000 surgical pathology cases/year>36,000 surgical pathology cases/year
1) Decrease mislabeling opportunities1) Decrease mislabeling opportunities
UW Goal for AutomationUW Goal for Automation
= Opportunity for transcription error
Signout
Case accessione
d
Cassettes preprinted and
placed with specimen
(Gross Room)
Slides pre- labeled by
hand
(Histology)
Pathologist calls up case to
enters diagnosis
(Offices)
Stickers with
labels applied
(Histology)
Resident/PA requests
additional blocks
(Gross Room)
Resident/PA dictates gross
description
(Gross Room)
UW Goal for AutomationUW Goal for Automation
2) Streamline Workflow2) Streamline Workflow Save Labor (FTEs)Save Labor (FTEs)
• Automate manual processesAutomate manual processes• Ex. Histology order completion, specimen discard, Ex. Histology order completion, specimen discard,
image uploadsimage uploads• Make location/progress of all assets (specimens, Make location/progress of all assets (specimens,
blocks, slides, and paperwork) visible and trackable blocks, slides, and paperwork) visible and trackable in the AP-LIS in the AP-LIS
• Eliminate preprinting/prelabelingEliminate preprinting/prelabeling
Initial phaseInitial phaseStart with projects having Start with projects having
• ↑ ↑ Yield Yield • ↓ ↓ Developer hrsDeveloper hrs
Staged UW AutomationStaged UW Automation
Approximate developer hours noted for each project
2005
2007
2008
2006
Gross room• Photography (80 hrs)• Specimen container disposal (50 hrs)
Document scanning with imaging suite
(150 hrs)
Slide tracking
(1500 hrs)
Cassette barcoding(500 hrs?)
Whole line automation
Clinical Database (75 hrs)
New Clinical Database(400 hrs)
Technical infoTechnical info
Custom software Custom software was written as was written as a Windows a Windows application application using using Microsoft Microsoft Visual Studio Visual Studio C#.Net and C#.Net and SQL ServerSQL Server
UW Database
SQL Server
PowerPathDatabase
PC Thin Client
PowerPath Client
UW Clients
Staged UW AutomationStaged UW Automation
Approximate developer hours noted for each project
2005
2007
2008
2006
Gross room• Photography (80 hrs)• Specimen container disposal (50 hrs)
Document scanning with imaging suite
(150 hrs)
Slide tracking
(1500 hrs)
Cassette barcoding(500 hrs?)
Whole line automation
Clinical Database (75 hrs)
New Clinical Database(400 hrs)
Document ScanningDocument Scanning
GoalGoal• Develop an electronic document management Develop an electronic document management
system system
• All case-related paperwork is viewable from the All case-related paperwork is viewable from the case specific repository in our AP-LIScase specific repository in our AP-LIS
WorkflowWorkflow• Paperwork is barcoded when accessionedPaperwork is barcoded when accessioned
• Scanner reads paperwork barcodeScanner reads paperwork barcode
• Document is scanned, accepted by office staff, Document is scanned, accepted by office staff, and automatically uploaded to the image tab of and automatically uploaded to the image tab of the AP-LISthe AP-LIS
Scanning benefitsScanning benefits
Benefits:Benefits:• 3.8 hours/day saved 3.8 hours/day saved
for 26 pathologists for 26 pathologists and residents and residents
• Staff satisfaction:Staff satisfaction:• 10.0/1010.0/10• Saved 0.25 min/caseSaved 0.25 min/case
• Current usage:Current usage:• 10,614/month
1. Schmidt RA, et al. Integ. of scanned doc mangmt... Am J Clin Pathol. 2006 Nov;126(5):678-83
2.2. Routbort M, Grimm E, Schmidt R. Optimized Document Management…. APIII 2006 ConferenceRoutbort M, Grimm E, Schmidt R. Optimized Document Management…. APIII 2006 Conference
Staged UW AutomationStaged UW Automation
Approximate developer hours noted for each project
2005
2007
2008
2006
Gross room• Photography (80 hrs)• Specimen container disposal (50 hrs)
Document scanning with imaging suite
(150 hrs)
Slide barcoding(1500 hrs)
Cassette barcoding(500 hrs?)
Whole line automation
Clinical Database (75 hrs)
New Clinical Database(400 hrs)
Goal:Goal:1.1. Provide real-time status Provide real-time status
and location of slidesand location of slidesBenefits include:Benefits include:• Providing real-time case Providing real-time case
progression informationprogression information• Easier location of slides for Easier location of slides for
conference/sendoutsconference/sendouts• Facilitates workflow analysis via Facilitates workflow analysis via
time-stampstime-stamps
2.2. Drives AP-LIS functionalityDrives AP-LIS functionality• Automates histology order Automates histology order
completion and other completion and other processesprocesses
Slide TrackingSlide Tracking
Name
Slide Tracking WorkflowSlide Tracking Workflow
Histology work order
completes with scanning
Ship
Resident review
Deliver
Faculty signout
File Room
Pull for conferenc
e
Sendouts
Histology
Pathology Offices
Slide Tracking BenefitsSlide Tracking Benefits
FTE SavingsFTE Savings
HistologyHistology +0.5 +0.5 FTEFTE
Reduced time hunting for Reduced time hunting for mis-delivered slidesmis-delivered slides
+0.5 +0.5 FTEFTE
Auto completion of outstanding Auto completion of outstanding orders when slide is scannedorders when slide is scanned
Office Office staffstaff
+.5-1 +.5-1 FTE FTE
Reduced time for conference Reduced time for conference preparationpreparation
+.25 +.25 FTE FTE
Increased efficiency regarding Increased efficiency regarding send outssend outs
Staged UW AutomationStaged UW Automation
Approximate developer hours noted for each project
2005
2007
2008
2006
Gross room• Photography (80 hrs)• Specimen container disposal (50 hrs)
Document scanning with imaging suite
(150 hrs)
Slide tracking
(1500 hrs)
Cassette barcoding(500 hrs?)
Whole line automation
Clinical Database (75 hrs)
New Clinical Database(400 hrs)
Gross PhotographyGross Photography
Gross photographyGross photography• Photo is automatically imported into case-Photo is automatically imported into case-
specific AP-LIS image tabspecific AP-LIS image tab
ResultsResults• Improved Quality Focus 50.1% Improved Quality Focus 50.1% 77.8% 77.8%• Quantity Increased 310 photo/mo Quantity Increased 310 photo/mo 503/mo 503/mo• Labor SavingsLabor Savings
• Resident/PA > 1 min/case by Resident/PA > 1 min/case by
• Office Staff 1 FTE (bulk image upload) Office Staff 1 FTE (bulk image upload)
• IT help requests 1.7/mo IT help requests 1.7/mo 0.5/mo 0.5/mo
• Cost Savings Cost Savings • Eliminated cost of darkroom materials Eliminated cost of darkroom materials
• Eliminated kodachrome storageEliminated kodachrome storage
Specimen DiscardSpecimen Discard
WorkflowWorkflow
• Device scans Device scans specimen barcode specimen barcode
• Handheld device Handheld device queries AP-LIS queries AP-LIS
• If case signout If case signout occurred <2wks occurred <2wks priorprior
• If case signout If case signout occurred >2wks occurred >2wks priorprior
Gross room• Photography (80 hrs)• Specimen container disposal (50 hrs)
Staged UW AutomationStaged UW Automation
Approximate developer hours noted for each project
2005
2007
2008
2006
Document scanning with imaging suite
(150 hrs)
Slide tracking
(1500 hrs)
Cassette barcoding(500 hrs?)
Whole line automation
Clinical Database (75 hrs)
New Clinical Database(400 hrs)
Cassette barcodingCassette barcoding
Goals:Goals:• Streamline workflowStreamline workflow
• Cassette barcode drives Cassette barcode drives gross room and histology gross room and histology workflowworkflow
• Eliminate cassette Eliminate cassette preprintingpreprinting
• Eliminates work for Eliminates work for accessionersaccessioners
• Eliminates an error-prone Eliminates an error-prone stepstep
• Enable resident/PA to Enable resident/PA to obtain cassettes without obtain cassettes without interruptionsinterruptions Photo Courtesy of
General Data
ObjectivesObjectives
1.1. Review current workflow in Anatomic Review current workflow in Anatomic Pathology and the need for changePathology and the need for change
2.2. The UW Anatomic Pathology Automation The UW Anatomic Pathology Automation Project Project
• A detailed look at each stepA detailed look at each step
3.3. Starting the automation processStarting the automation process• The business caseThe business case• The issuesThe issues
4.4. Questions for the futureQuestions for the future
The Business CaseThe Business Case
1.1. EfficiencyEfficiency• More volume with same personnelMore volume with same personnel• $2.50 - $3.00/case (slides, specimens)$2.50 - $3.00/case (slides, specimens)
2.2. Patient safety Patient safety • Optimize patient careOptimize patient care• Prevent rare, catastrophic errorsPrevent rare, catastrophic errors
3.3. ComplianceCompliance• Custodial responsibility for patient materials Custodial responsibility for patient materials
(paperwork, slides, blocks, etc).(paperwork, slides, blocks, etc).
Buy vs. Build Decision
• “Buy” is now possible• Some LIS vendors (IMPAC, CoPath, et al)• Others (RA Lamb, Dako, Ventana, UW)• Others in development
• Most are expensive (S/W and H/W)
• No current product is comprehensive
Hardware
• Label printers – inexpensive
• Bar-code readers – inexpensive
• Cassette printers – expensive (most)
• Slide printers – expensive
For distributed JIT workflow, we need “personal” cassette printers and slide printers that are as inexpensive, reliable, and ubiquitous as label printers.
Key ConsiderationsKey Considerations
1)1) This is disruptive technology!This is disruptive technology!• Use automation to change habits Use automation to change habits
(prelabeling/preprinting)(prelabeling/preprinting)• Don’t automate bad workflowDon’t automate bad workflow• Each user must benefitEach user must benefit
2)2) Select carefullySelect carefully• Hardware compatibilityHardware compatibility• Software compatibilitySoftware compatibility• Appropriate technology/solutionAppropriate technology/solution
QuestionsQuestions
Where are the boundaries for the AP-Where are the boundaries for the AP-LIS? LIS? Who providesWho provides bar-coding bar-coding solutions?solutions?
Major automation providers are not AP-LIS Major automation providers are not AP-LIS vendors (Dako, Ventana, RA Lamb, UW)vendors (Dako, Ventana, RA Lamb, UW)
Implicit challenge to LIS vendor “lock-in”Implicit challenge to LIS vendor “lock-in”•Reporting/billing in one appReporting/billing in one app•Lab/material handling in different appLab/material handling in different app
QuestionsQuestions
Where are the boundaries for the AP-Where are the boundaries for the AP-LIS? LIS? What will be trackedWhat will be tracked??
Traditional: Specimens, blocks, slidesTraditional: Specimens, blocks, slides
New derivatives: Cells, DNA, tissue banks, New derivatives: Cells, DNA, tissue banks, ancillary labs, biorepositoriesancillary labs, biorepositories
Pre-lab tracking: From OR, officesPre-lab tracking: From OR, offices•Reduce ID (pre-analytic) errors
QuestionsQuestions
How much of the financial benefits will How much of the financial benefits will labs be able to retain?labs be able to retain?
• Hardware?
• Implementation?
• Software?• Purchase/support pricing model• Per-item metering
ConclusionsConclusions
Bar-coding automation Bar-coding automation
• More than just tracking – disruptive More than just tracking – disruptive technology! Workflow changes.technology! Workflow changes.
• Allows processing of increased workloads Allows processing of increased workloads with static FTE levelswith static FTE levels
• Improves patient safetyImproves patient safety
• Quantifiable gains can be made by Quantifiable gains can be made by upgrading the most inefficient/error prone upgrading the most inefficient/error prone processes in your laboratory processes in your laboratory
Thank you
UW development teamUW development team
Erin Grimm, MDErin Grimm, [email protected]
Rodney Schmidt, MD, Ph.DRodney Schmidt, MD, [email protected]
UW Program UW Program Operations ManagerOperations Manager
Dan LuffDan Luff
Questions for the FutureQuestions for the Future
2.2. What materials will be tracked?What materials will be tracked?
When does tracking start?When does tracking start?• Traditional materials: specimen/blocks/slidesTraditional materials: specimen/blocks/slides• More specimen derivatives arise: ancillary lab More specimen derivatives arise: ancillary lab
tests, tissue banking, biorepositoriestests, tissue banking, biorepositories• ?? Will there be introduction of prelab ?? Will there be introduction of prelab
tracking to reduce preanalytical errorstracking to reduce preanalytical errors
No current product is No current product is comprehensivecomprehensive