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Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place sub-brand here

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Page 1: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Foundation.cap.org v. #

The Barcode-Driven Lab: Success in a Large System

Rodney Schmidt, MD, PhDUniversity of Washington, Seattle

April 17, 2011

Place sub-brand here

Page 2: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Topics

• Why create the barcode-driven lab?– Why in a large, complex lab?– Overview of functionality

• Not the detailed “how”; workflow

– Achieved benefits• Error reduction• FTE savings

• Important factors in success– UCLA, Sierra Pathology, NWP, NYU, OHSU

• What’s down the road?

Page 3: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Disclosure

• Bar-coding software developed at UW (OmniTrax and OmniImage) has been licensed by UW to Pathway Pathology Consultants for PowerPath end-users.

• Dr. Schmidt and his team have a revenue-sharing agreement with UW.

• Dr. Schmidt has a consulting agreement with Thermo-Fisher for educational talks.

Page 4: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Why barcode?

• Expensive– $23k/gross station– $10k/cutting station– Software

• Workspaces change– Wiring, networking

• Time investment– Software fast– Workspaces slow– Financing slow

• Processes change– Material handling– QA

• Jobs change– Workflow– Change management

• Pathologists affected!

Who needs the hassle?!

Page 5: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Large Systems – Special Factors

• Multiple locations• Trainees – Residents and Fellows• Personnel turnover• Outside materials (e.g. consults)• Ancillary testing• Higher fraction of complex cases

Issues: Training, complexity, communication

Need: Robust systems to help people do things right

Page 6: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Bringing Bar-coding to AP• Track slides (2005)

– Eliminate the “lost slide” problem– Ease conference prep

• Specimen labels (2006)– Tissue discards and tracking– Drive gross photography

• Block creation and labeling (2008)– Automated JIT production of barcoded blocks– Gross room QA process and tracking

• Slide creation and labeling (2008)– Automated JIT creation of barcoded slides– Facilitate workflow and QA

• Eliminate all manual labeling (and errors)• Facilitate workflow – JIT information display

Page 7: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Material identification (2005)

• Handwritten specimen labels

• Manual, off-line cassette labeling

• Hand-written slide labels

Page 8: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Primary labeling errors (2004)

0100200300400500600700800900

1000

Blocks Slides

Recorded Actual

Accession number is re-entered into a standalone cassette imprinter

Accession number is re-entered into a standalone cassette imprinter

?

Page 9: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Targets – Gross Room

• Foolproof labeling– No human labeling/data entry

• Reduced dependence on support staff– Off-hours availability– Redirection of support

personnel

• Reduced waste of cassettes• Grossing step at least as

fast as current• (Record timestamps)

The unsupervised Resident!

Page 10: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Targets - Accession

Receive specimen and enter data into the LIS

Generate a bar coded label for the specimen and laboratory request form.

Minimum extra keystrokes (one)

Page 11: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Accession specimens

Label specimens

Transport for processing

Reconcile with LIS

Move to staging area

Rack filled cassettes

Request more cassettes

Fill cassettes

Lay out cassettes

Move to gross bench

Group with specimens

Label cassettes

Store excess with specs

Classic Grossing Workflow

**

*

*

*

*

* * QA steps

Possible errors

Handling steps

Page 12: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Just-in-Time PrintingAccession specimens

Bar-code specimens

Transport for processing

Rack filled cassettes

Fill cassettes

Lay out cassettes

*

**

*

Scan/print cassettes

Courtesy General Data

Fewer handling steps

Fewer (1) error opportunities

Fewer QA processes

Rescan cassettes

Page 13: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Benefits

• Efficiency– No manual pre-printing and sorting of cassettes– Quick just-in-time additional cassettes– Default cassettes from PowerPath specimen panels– Blocks automatically ordered in PowerPath

• Quality– No manual labeling (no errors)– Scanning specimen barcode assures correct

specimen– Enter cutting instructions, # pieces– Records which blocks are sent for processing

Page 14: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Q&E Benefits

“Classic” “Just-in-Time”

Handling steps 11 5

Error opportunities 9 1

Manual QA steps 7 4

Primary labeling errors 988/yr (est.);

(1.2%)

2 in 3 mo (initial);

0 in next 7 mo; (0.003%)

Cassette wastage ~25/d (~7%) ~0

Grossing efficiency -- At least as fast

Support staff -- 0.75+ FTE saved

Page 15: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Histology – Embedding

• Target– View critical

information about block and specimen

– Efficient workflow

• Block scan:– Embedding instructions– Number of pieces of

tissue– Specimen info– (Record timestamps)

Page 16: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Histology – Cutting

• Targets– Present critical information

(block, specimen)– Eliminate manual slide labeling– Block/slide verification– Multiple workflows– No clutter– Efficient

• Touch-screens; no keyboards• Block scan:

– JIT slide printing/labeling– Info display

• Slide scan:– Block/slide match

Page 17: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Cutting - Benefits

• Elimination of hand labeling

• Much faster than manual labeling for blocks with many slides

• Fewer block/slide mismatches

• Overall throughput increased ~10%

Page 18: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Slide Life Cycle

Histology work order

completes with scanning

Ship

Resident review

Deliver

Faculty signout

File

Pull for conferenc

e

Sendouts

Histology

Pathology Offices

Page 19: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Slides – Benefits

• Less staff time looking for slides• Faster to find last location than make a phone

call• Fewer arguments over whether slides were

delivered• Fewer recuts?• Improved job satisfaction

– ** Saved me 30 min the first day! **

• Overall savings > 2.0 FTE!

Page 20: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Slides 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 orders Auto completion of outstanding orders when slide is scannedwhen slide is scanned

Office staffOffice staff +.5-1 +.5-1 FTE FTE

Reduced time for conference Reduced time for conference preparationpreparation

+.25 +.25 FTE FTE

Increased efficiency regarding send Increased efficiency regarding send outsouts

Page 21: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Barcodes Enable…

• Imaging– Gross photos– Photomicrographs– Documents– EM/IF

• HPV workflow– Reflex testing– Digene/Luminex

• Specimen management– Discards– Locations

• Winscribe automation

Page 22: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Specimen Discard

WorkflowWorkflow

– Device scans specimen barcode

– Handheld device queries AP-LIS

• If case signout occurred <2wks prior

• If case signout occurred >2wks prior

• If note on Req Data tab, caution light and note display

Page 23: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Barcoding Benefits

• Direct personnel (FTE)– 2.0 Slide delivery and tracking– 0.75 Cassette printing– 0.1 Specimen discards– 0.1 Document scanning– TBD Fluorescence image import

~$150,000/yr assuming $50,000/FTE

Page 24: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

• Indirect personnel (FTE)– 0.5 Scanned consult document availability1

– TBD Scanned Req forms– TBD Slide location info (e.g. Pathologists)

• Reduced loss of materials– Slide/Block tracking– Specimen discards

Barcoding Benefits

1Schmidt, RA, et al. Am J Clin Pathol 126:678-83, 2006

Page 25: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Error Reduction– Elimination of all manual labeling steps!– Reduced labeling errors

• Specimens• Blocks

– ~988/yr to near 0– “How did you manage to do that?!”

• Slides• Gross photos• Scanned documents• Photomicrographs

Barcoding Benefits

Page 26: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Reasons for Success

• Optimized workflow– Lean analysis– Close ties to users– Multiple workflows; exception trapping

• LIS interoperability– Initially with PowerPath; now general

• Just-in-time production of materials

• Selection of appropriate equipment

Page 27: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Where Next?

• Specimen transport– Within multiple sites in a large lab– Upstream all the way from the patient

• Result transport– All the way back to the patient

• Likely to need multiple systems

Need an industry barcode standard

Page 28: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Where Next?

• Tissue banking (becoming routine)– Unique identifiers (encrypted for research)– Repository management– Maintain provenance– Pre-analytic variables

• Tissue micro-arrays– Each sample linked back to patient

Page 29: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Where Next?

Patient- and time-based disease data structures

Diagnosis RecurrencePersistent

(Time)Patient

•Links between serial samples of same disease•Relation to clinical treatment•Correlated blood samples

All types of data•IHC•Cytogenetic•Molecular

Treatment 1 Treatment 2

What does sample tracking mean for molecular testing?

Page 30: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Why barcode?Expensive … true, but reasonable ROI

Workspaces change … it might be time

Process changes … new processes are better

Jobs change … but more valuable activity

Pathologists affected … in good ways

Time investment … pays off!

Better lab efficiency

Error/liability reduction

Inventory control

Resident autonomy

Gateway to more functions

Page 31: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Conclusion

• Barcoding is becoming an expectation– Patient safety / error reduction

• It’s to your financial advantage

For success, you must be sophisticated enough to know the difference between just putting a barcode on something and having a barcode-driven lab.

Page 32: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Acknowledgements

• Phil Nguyen• Kevin Fleming• Rosy Changchien• Chris Magnusson• Victor Tobias

• General Data • Thermo-Fisher • Accu-Place

• Dr. Erin Grimm• Dan Luff• Steve Rath• Pam Selz• Kim Simmons• All the Techs and

Office Folks!

Page 33: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place
Page 34: Foundation.cap.org v. # The Barcode-Driven Lab: Success in a Large System Rodney Schmidt, MD, PhD University of Washington, Seattle April 17, 2011 Place

Achieved Benefits

• Marked reduction in labeling errors

• Improved inventory control (i.e. knowledge of where things are)

• Direct savings of ~ 3 FTE

• Indirect savings of >> 0.5 FTE

• Improved image collection and management (paperwork, gross, micro, EMs, IF, etc)

• Increased job satisfaction