Technology Evolution in Pathology: The University Health Network Experience Across Ontario - PowerPoint PPT Presentation

About This Presentation
Title:

Technology Evolution in Pathology: The University Health Network Experience Across Ontario

Description:

Technology Evolution in Pathology: The University Health Network Experience Across Ontario Sylvia L. Asa, MD, PhD Pathologist-in-Chief Medical Director, Laboratory ... – PowerPoint PPT presentation

Number of Views:356
Avg rating:3.0/5.0

less

Transcript and Presenter's Notes

Title: Technology Evolution in Pathology: The University Health Network Experience Across Ontario


1
Technology Evolution in PathologyThe University
Health Network Experience Across Ontario
  • Sylvia L. Asa, MD, PhD
  • Pathologist-in-Chief
  • Medical Director, Laboratory Medicine Program

2
Objectives
Participants should have an understanding of
  • The nature of pathology practice in Ontario
  • The reason for a centralized laboratory program
  • The IT requirements for success of centralized
    pathology
  • The reason for using digital imaging

3
Assumptions
  • A single payer, publically funded health care
    system
  • A large geographic area with population
    concentration in 5 large centers
  • A shortage of Pathologists

4
Initial Status
  • Multiple hospitals of variable size scattered
    throughout the province
  • Toronto (GTA) has 7 major teaching hospitals and
    35 other hospitals
  • 5 medical schools in various cities with 1-5
    affiliated hospitals
  • Other large cities with large, full-service
    hospitals
  • Many small towns with hospitals of varying size
  • Each hospital is operated as an independent
    entity with funding from the Ontario Ministry of
    Health and Long-term Care

5
Historical Issues
  • 1990s Ontario determined that
  • Health care costs were too high
  • Pathology was a dying field
  • There would be no need for Pathologists in the
    next century
  • Training programs in Pathology were slashed
  • Outcome major shortages of Pathologists emerged
    in late 1990s-2000

6
Healthcare Reform 1990s
  • Regional planning for healthcare (LHINs)
  • Consolidation of hospitals

7
The University Health Network
  • A consolidation of three U f T affiliated
    teaching hospitals
  • Programmatic restructuring
  • TGH cardiac care transplantation advanced
    medicine and surgery
  • PMH cancer care
  • TWH neurosciences, musculoskeletal care,
    community health
  • Laboratory consolidation

8
The University Health Network
9
The Challenge Lab Consolidation
  • 3 physical sites
  • 3 cultures
  • 3 missions of the academic institution
  • Complex patient care
  • Education
  • Research

10
Proposed Solution
  • A single core department
  • Electronic support for specimen tracking and
    handling at 3 sites
  • Highly subspecialized expertise
  • Biochemistry - Microbiology
  • Hematology, Transfusion Hematopathology
  • Subspecialty Anatomical Pathology
  • HLA - Molecular/Genetics

11
Solution Step 1
  • LIS implementation goals
  • Best-of-breed approach to support high volume
    complex testing
  • Integration in e-chart with e-orders
  • Specimen tracking and management
  • Integration of lab data from all disciplines into
    a consolidated report

12
Solution Step 1
  • LIS implementations
  • Core Lab automation and middleware
  • CoPath solution for Pathology
  • Transfusion Medicine LIS
  • HLA Histotrack
  • Upgrade existing Shire for molecular lab and
    interface with CoPath

13
Solution Step 2
  • Analyze workflow
    and clinical needs
  • Build core labs
    and satellites
  • State-of-the-art
    space and equipment
  • Tubes where possible
  • Rapid response labs where required
  • On-site accessioning and grossing for surgical
    pathology with enhanced PA support

14
Informatics Voice Recognition
  • Dragon-speech integrated with LIS
  • means instant reporting without
  • the need for dictatyping

15
Solution Step 3
  • Recruit appropriate medical and technical
    expertise
  • Create teams of experts who integrate with
    clinical staff in priority programs The
    Pathologist as Medical Consultant
  • As is your pathology, so goes your clinical
    care.
  • Sir William Osler

16
Subspecialty Pathology
  • All cases reported by a pathologist with
    expertise in the specific subspecialty required
  • Benefits
  • Better quality and faster patient care
  • Fiscal responsibility 1 pathologist per case
  • Pathologist satisfaction enhanced academic
    excellence
  • Challenges
  • Requirement for appropriate staffing in all areas
    and redundancy

17
Solution Step 4
  • Implement telepathology for intraoperative
    consultations and frozen sections at non-core
    sites
  • Phase 1 Robotic microscopy
  • Phase 2 Digital WSI

18
Historical Data Telepathology
  • 1973 Washington DC diagnosis of leukemia via
    satellite from Brazil
  • 1986 Dr. Ronald Weinstein coins name
  • 1990s Norway implements robotic microscopy to
    support frozen sections in remote hospitals
  • 2003 ? Why Not UHN

19
Barriers to Telepathology
  • Cost cheaper than another pathologist!
  • FDA approval not applicable in Canada
  • Billing/CPT codes not applicable
  • Turnaround time - overcome
  • Pathologist issues
  • learning curve/accuracy
  • images are good, but not ready for prime time

20
Th Philosophical Response
21
Due Diligence Before Going Live
  • Medical Malpractice Insurance Provider
  • Canadian Medical Protective Association (CMPA)
  • telepathology will not affect coverage
  • UHN Medical Advisory Committee
  • SOP presented for approval
  • Health Canada Therapeutic Products Program
  • telepathology does not involve medical devices
    (no direct contact between instrument and
    patient)
  • no federal approval required
  • Surgeon Education
  • demonstrating the robotic microscope/slide
    scanner
  • essential to get surgeon buy-in!

22
The Robotic System November 2004-October 2006
23
The Robotic System November 2004-October 2006
Toronto General Telepathology Work Station
Toronto Western Surgical Pathology
24
Whole-Slide Imaging October 2006-Present

25
Whole-Slide Imaging System Parameters
26
UHN Telepathology Protocol
  • System test each morning
  • Pathologist reviews daily O.R. list and
    communicates game plan for the day to
    histotechnologist
  • Surgeon defines tissue of interest
  • Histotechnologist contacts Pathologist
  • - specimen description, processing specimen
  • Histotechnologist at TWH scans the slide and
    calls the Pathologist
  • Pathologist speaks with the surgeon by telephone
  • QA the next day

27
1003 Frozen Sections from 802 Patients (Nov
2004-Sept 2008)
1003
653
350
28
Performance 1003 Cases/4 Years
  • Accuracy
  • 98 concordance with final pathology
  • Not a function of technology
  • Deferral rates
  • Identical to on-site rates
  • NOT a function of technology
  • Sometimes you just dont know for sure
  • Sampling issues in the frozen section biopsy
  • Turnaround times
  • Well within 20 minutes required

29
TAT Single Block Frozen Sections


Receipt of tissue to report of diagnosis
p lt 0.0001
30
Pathologist Interpretation Time
4-fold


Receipt of image to Report of diagnosis
p lt 0.00001
Pathologists tended to go to TWH site for
multi-block cases when using the robotic
microscope not so for whole-slide imaging.
31
WSI Pathologist Interpretation Time
38
32
30
Minutes/slide
70 of cases reported in lt 2 minutes after scan
is received
32
Failure Mode Analysis
  • PRE-CASE
  • Network failure
  • Moving the scanner within the surgical pathology
    lab
  • static vs dynamic IP addresses
  • discovered on morning test run.
  • MID-CASE
  • Minute/pale pieces of tissue that the scanner
    would not recognize
  • Excess mounting media causing the cover slip to
    stick to the scanner objective

33
Subspecialty Support for FS
34
Subspecialty Model
  • How do we get the two liver pathologists to read
    transplant biopsies and attend all academic
    meetings?
  • Telepathology solution
  • USCAP 2008 all rush biopsies read on laptops at
    the meeting

35
Subspecialty Model
  • How do we get the subspecialty support for
    weekend coverage?
  • Telepathology solution
  • Summer 2008 all weekend cases read on laptops at
    the home/cottage etc.

36
Subspecialty Model
  • How do we get the pituitary expert to read a
    tough biopsies when she is in Istanbul?
  • Telepathology Blackberry solution

37
Ontario-Wide Implementation
  • Timmins and District Hospital forms an alliance
    with 9 other hospitals in North East Ontario
  • Seeks Laboratory Medical Directorship
  • UHN provides a suitable proposal
  • Team of subspecialists to support all clinical
    needs from core in Toronto
  • Initiation of a new model

38
Ontario NE Cluster Implementation
422 miles
Google Maps 2008
39
Configurations in NE Ontario
  • Small hospitals going to POCT only
  • Medium hospitals on-site labs with POCT
  • Largest hospital with full lab and surgical
    pathology accessioning, grossing by PA with
    webcam support
  • All smaller hospitals send AP specimens to core
    in Timmins
  • Complex testing referred to UHN

40
Subspecialty Model
  • Requires sign-out of all cases by subspecialist
  • Slides shipped to Toronto by overnight courier
  • FS review by subspecialist must be available
  • Ultimately no pathologist on site
  • Telepathology solution

41
The Ultimate Solution
  • 3M grant from government to implement high
    resolution digital imaging at all sites
  • All abnormal blood smears, malaria, microbiology
    gram stains, CSFs, etc
  • Plan to expand FS service to hospitals that have
    not had this available
  • CoPath integration of digital imaging in future
    will alleviate need for any slide transportation

42
Pros and Cons of LIS Integration
  • Pros
  • Fast
  • E-filed into right location
  • Integration of gross, micro, EM, molecular
  • Remote access and who has (need) access
  • Cons
  • Images trapped and need for export for other
    purposes

43
Addition of New Clients
422 miles
Google Maps 2008
44
The Future of Pathology?

45
The Future of Pathology

46
The Future of Pathology
The best way to predict the future is to invent
it Alan Kay
47
What About Academia?
  • Digital education
  • Digital documentation of the biobank
  • The Biobank is the current phraseology for the
    Department of Pathology
  • Scanning and automated analysis of TMAs
  • Scientific Advances
  • Laboratories must evaluate,
    develop, and apply the genotypic and
    phenotypic analyses of specimens

48
Acknowledgements
  • Pathologists
  • Andrew Evans
  • Runjan Chetty
  • Blaise Clarke
  • Sidney Croul
  • Bayardo Perez-Ordonez
  • Rasmus Kiehl
  • Surgeons
  • Mark Bernstein
  • Abhijit Guha
  • Fred Gentili
  • Chris Wallace
  • Michael Fehlings
  • Mojgan Hodaie
  • Jaime Escallon
  • Histotechnologists
  • Suganthi Ilaalagan
  • Sofia Aguierre
  • Alfreda Antonio
  • Carsen Chan
  • Gordon Chin
  • Norman Hew-Shue
  • Pam McCartin
  • Aparna Pant
  • Ann Marie Scott
  • Henry Wu
  • IT Support
  • Greg Lewis
  • Karen Jaquardt

Vendor Support Leica Microsystems Quorum
Technology/Aperio
Write a Comment
User Comments (0)
About PowerShow.com